(gs-ver-pdd) wwf nepal gold standard biogas voluntary

(GS-VER-PDD)

WWF Nepal Gold Standard Biogas Voluntary Emission Reduction (VER) Project

September 2008

VOLUNTARY OFFSET PROJECTS

PROJECT DESIGN DOCUMENT FORM (GS-VER-PDD) Version 01 - in effect as of: January 2006)

CONTENTS A. General description of project activity B. Application of a baseline methodology C. Duration of the project activity / Crediting period D. Application of a monitoring methodology and plan E. Estimation of GHG emissions by sources F. Environmental impacts G. Stakeholders’ comments

Annexure Annex 1: Participant contact information Annex 2: Baseline information

Annex 3: Monitoring plan

Appendices

Appendix 1: No Objection Letter Appendix 2: Contract Document

Appendix 3: Legal Right Approval

Appendix 4: An Affirmation Letter from WWF

Acronyms References

SECTION A. General description of project activity

A.1 Title of the project activity Title: WWF Nepal Gold Standard Biogas Voluntary Emission Reduction (VER) Project Version: 03 Date: September, 2008 A.2. Description of the project activity The purpose of the WWF Nepal Gold Standard Biogas VER Project: Under the proposed project activity, the World Wildlife Fund Nepal (WWF) aims to sell carbon credits generated from 7,500 biogas digesters plants in Nepal’s Terai Arc Landscape (TAL) project area, and use renewable biogas energy to replace the heavy consumption of fuel wood in this area for cooking. Another objective of this project is to enable Verified Emission Reductions (VERs) from the project to reduce Greenhouse Gas (GHG) emissions by displacing conventionally used fuel sources, such as fuel wood and kerosene, for cooking. Credits from generated emission reductions will be owned by WWF Nepal Program. WWF Nepal Program, the project proponent, will be involved in providing a partial grant to households adopting biogas plants within the Terai Arc Landscape (TAL) project area, and credit to purchase systems through micro-finance institutions (MFIs). WWF Nepal Program will also engage in awareness raising and capacity building of non-governmental organizations (NGOs) promoting household biogas technology. Biogas Sector Partnership – Nepal (BSP-Nepal) will, under its national biogas promotion activities, manage the database, check the quality of the installed plants, ensure after sales services through pre-qualified companies and manage the guarantee fund. Contribution to Sustainable Development At the local level, the proposed project has multiple social benefits. A major household benefit is the reduction in the time and energy spent by women and children in collecting firewood for cooking. The project will attach latrines to biogas plants, promoting better sanitation in rural households. Potential employment will add more than 255 persons for skilled people in the construction, maintenance, marketing, and financing of biogas plants. The use of biogas means negligible smoke, hence better family health. Moreover, the residual biological slurry from the biogas plants can be used as superior organic fertilizers to enhance agricultural yields. At the national level, the project supports the Nepali Government’s sustainable energy goals as laid out in 10th Five Year Plan to improve energy access for rural poor, and to reduce rural poverty by providing high quality biogas plants to poor households at an affordable price. Additionally, the project will support forest conservation goals by substituting traditional cooking the fuel, firewood, with biogas. Such use of renewable biogas energy will simultaneously improve the local and global environment by reducing GHG emissions. Results from the Sustainable Development Matrix Two stakeholder consultations1 were held under this project. Overall there was a positive perception of local stakeholders towards the project, with a high level of interest to see the project go ahead successfully. No major environmental, physical or socially negative impacts were identified; neither were sensitive or protected areas. Table 1 presents the results of the stakeholder consultation meeting specifically conducted for this project. Table A.2.1: Sustainable Development Assessment Matrix

Component Score (-2 to 2)/(-,0,+)2

Justification/Reference

1 See the “WWF Nepal Gold Standard Biogas VER Project: Consolidated Report on Stakeholders Consultations “

• Indicator Local/regional/global environment

• Water quality and quantity 0 The expected environmental impacts on water resources and water quality and quantity are negligible as the dung is fed into the digester mixed with water and the slurry is later used as a composed fertilizer in the agricultural land.

• Air quality (emission other than GHS) +2 The use of biogas plants will minimize air pollution and have health and sanitation benefits. In the absence of the use of biogas plants, and with poor ventilation systems in the rural context the use of fuel wood remarkably contributes to building up high concentration of TSP (Total Suspended Particles) of PM10 (Particles up to 10 microns in diameter) and PM 2.5 (Particles up to 2.5 microns in diameter) and carbon monoxide to cause indoor air pollution. Source: WHO: Indoor Air Pollution, Health and the Burden of Diseases ITDG: Smoke health and household energy AEPC, Biogas Users’ Survey 2006/07; page 9-1

• Other pollutants (including where relevant , toxicity, radioactivity, POPs. stratospheric ozone layer depleting gases)

0 Not Applicable The proposed biogas plants are of small domestic scale

• Soil Conditions +2 The expected environmental impacts are negligible as only a small pit is dug open during construction phase. However there is positive impact of the use of slurry on agriculture production; which also decreases the use of chemical fertilizers reduced by 9%. Source: 1. Biogas Support Programme. An

Integrated Environment Impact Assessment. June 2002. 150p. (unpublished) BSP Lib Temp No. 1; page 2;

http://www.bspnepal.org.np/pdfs/bsp_30.pdf 2. AEPC, Biogas Users’ Survey 2006/07;

page 9-1 • Biodiversity +0 The proposed project activity will help to

avoid deforestation, which in turn will also play a vital role to increase habitats of various species found in the area. With population increasing and people also migrating to the Terai for better

2 Scoring System: -2: major negative impacts; -1: minor negative impacts; 0: no, or negligible impacts:; +1: minor positive impacts; +2: major positive impacts

settlement opportunities, the deforestation rate in the Terai is quite high (1.3% annually) resulting in reduced regeneration of forests as compared to that a decade ago. The Nepal Millennium Development Goals Progress Report 2005 has also indicated the decrease in forest coverage (Pg 71) (37% in 1999 and 29% in 2000), which is an indicator for increased deforestation rates. Moreover the trend for demand for fuel wood has also increased from 2004 onwards. Source: ~Nepal Millennium Development Goals Progress Report 2005 ~Nepal Forest Inventory 1999 ~Forest Resources of Nepal FRA 2000

Sub Total +4 Social Sustainability and Development

• Employment* (including job quality, fulfilment of labor standards)

+1 With the project activity new jobs will be created e.g. in the construction areas and financing sector. For most of them training are required. The types of training are: i) Masonry Training ii) Supervision Training iii) Gender Training iv) Business Management Training v) Promotional Training to Users

• Livelihoods of the poor*

(including poverty alleviation, distributional equity and access to essential services)

+2 Saved Time for income generation; Source: AEPC, Biogas Users’ Survey 2006/07; page 4-1;4-2 Toilets are constructed (motivated for construction) and connected with 65% of biogas plants. 74% of bio-slurry is utilized as an organic compost fertilizer http://www.bspnepal.org.np/achievments.htm

• Access to energy services* +2 The energy service provided by the use of biogas is durable. Source: AEPC, Biogas Users’ Survey 2006/07; page 4-1;4-2

• Human and institutional capacity (including empowerment, education. Involvement, gender)

+1 Reducing work burden of women, time saved*; more time for social involvement and income generation. Source: 1. Biogas Support Programme. An

Integrated Environment Impact Assessment. June 2002. 150p. (unpublished) BSP Lib Temp No. 1; page 2;

http://www.bspnepal.org.np/pdfs/bsp_30.pdf

2. AEPC, Biogas Users’ Survey 2006/07;

page 9-1 Sub Total +6 Economic and Technical Development

• Employment (numbers)* +1 Potential for employment; 255 persons Types of jobs created: Biogas Installation companies recruit unskilled labors (temporary), masons, QC control supervisors (skilled labors). Micro finance institutions recruit human resources. Source: Narayan Kafle, A Study on Employment Opportunities Created by Biogas Financed Through MFIs, 2006

• Balance of Payments (sustainability) 0 The economic impact or the impact on the balance of payments is negligible as the funds obtained are to minimize the funding gaps to construct biogas plants through sale of verified quality carbon credits.

• Technological self reliance* (including project replicability, hard currency liability, skills development, institutional capacity, technological transfer)

+1

The project will involve the institutional and capacity building in the region. At local level, the Community Forest Coordination Committees (CFCCs) have been formed. The Community Forest Coordination Committees have been capacitated to manage funds as loans through Micro Finance Institutions to construct the biogas plants. Biogas construction companies have an association - Nepal Biogas Promotion Association (NBPA) both regionally and in the centre which actively participates in the biogas promotion works. The biogas construction companies are periodically checked and trained on the quality of work and also evaluated annually by BSP Nepal. In the annual evaluation of listed companies, the best biogas construction companies are financially rewarded and the poor performing companies are punished by BSP Nepal (The company is de-listed as a verified company).

Sub total +2 TOTAL +12

Note: The indicators marked as * are included in the monitoring plan A.3. Project participants:

Name of Party involved (*) ((host) indicates a host

Private and/or public entity(ies) project participants (*) (as applicable)

Kindly indicate if the Party involved

Party) wishes to be considered as

project participant (Yes/No)

Government of Nepal3 (host) Ministry of Environment, Science and Technology (MoEST)- public entity/Alternative Energy Promotion Centre (AEPC) – Government Agency Biogas Sector Partnership (BSP) - Nepal, Non Government Organization

No

No

WWF Nepal Program, Non Government Organization Project Developer

Yes

BSP-Nepal will not have any financial obligation from the proposed project. In the proposed project, BSP- Nepal will take the following responsibilities:

- Database management and reporting - Monitoring activities - Subsidy administration - Quality control of the plant - After sales Service through pre qualified company - Release guarantee fund - Capacity building activities

AEPC will not have any financial obligation from the proposed project. It will work as the government counterpart to enable the project, and will have a monitoring role to channel the biogas subsidy amount and overall project implementation. Winrock International Nepal will act as the technical backstopping organization for preparation of the Project Design Document (PDD) documentation, and capacity building in the micro finance related activities. All biogas households agree by contract to transfer CO2 credit4 and all other rights5 associated with the transaction and administration of this VERs to the WWF. The contact information of the above institutions is provided in Annex 1 of this report. A.4. Technical description of the project activity: A.4.1. Location of the project activity: A.4.1.1. Host Party(ies): Government of Nepal A.4.1.2. Region/State/Province etc.: The biogas plants under the proposed program will be installed in several locations in 9 out of the 75 districts in Nepal.

A.4.1.3. City/Town/Community etc: 3 The no objection letter from Nepal’s DNA is presented in the Appendix 1 4 The copies of the contract agreements are presented in Appendix 2 5 The copy of the legal approval of the WWF Nepal Program to dispose the benefits that comes from the GHG reduction by this project is presented in Appendix 3

The 7,500 biogas plants under the proposed project will be installed in 38 Village Development Committees6 (VDCs) of 9 districts including two villages and one municipality. A.4.1.4. Detail of physical location, including information allowing the unique identification of this project activity (maximum one page): The biogas plants under the proposed project will be built across various locations in 9 districts of Nepal. Details of the geographic location are presented in the map below:

Figure 1: Location of the biogas digesters under this project activity.

The technology is best suited to the warmer districts below 2,000 m in altitude; hence the 9 selected districts are located mostly in the Terai7. The following table depicts the districts and VDCs, and the estimated number of plants to be installed.

Table A4.1: Number of Biogas Plants and their location. Location8

SN District Longitude Latitude

VDC/Municipality/Village

Estimate no. of plants

1

80°85'96''

28°52'40'' Ratanpur 250 2 80°80'58'' 28°54'59'' Pawera 250 3 80°82'35'' 28°57'87'' Hasulia 250 4 80°81'83'' 28°62'38'' Basauti 250 5 80°82'97'' 28°67'18'' Udasipur 200 6 80°84'65'' 28°74'90'' Masuriya 200 7

1. Kailali

80°88'20'' 28°66'37'' Pahalmanpur 250 6 Nepal is divided administratively into 5 development regions, 14 zones, 75 districts and 3,995 Village Development Committees. There are 53 municipalities in the country. 7 The regions located at the elevation from 100 to 500 above sea level are the Terai, the regions located at the elevation ranging from 500 to 3,000 m above sea level are the Hills; and the regions located at eleveation ranging from 3,000 m up are the Mountains. 8 The district of Palpa lies in the 'Middle Hills' region of Nepal, between the Hills and the Terai.

8 80°95'57'' 28°74'17'' Ramshikhar Jhala 200 9 80°97'73'' 28°49'33'' Bhajani 200

10 80°94'24'' 28°54'53'' Khailad 100 11 80°94'85'' 28°46'57'' Lalbojhi 100 12 80°60'64'' 28°69'52'' Dhangadhi9 180 13 80°56'49'' 28°77'37'' Geta 150 14 81°22'91'' 28°40'09'' Suryapatuwa 225 15 81°25'25'' 28°35'44'' Dhodhari 225 16 81°26'07'' 28°46'57'' Thakurdwara 150 17 81°30'79'' 28°47'69'' Neulapur 150 18 81°29'73'' 28°49'18'' Shivapur 150 19 81°30'06'' 28°40'23'' Baganaha 150 20

2. Bardiya

81°49'72'' 28°35'44'' Motipur 150 21 3. Banke 81°80'82'' 28°17'61'' Mahadevpuri 200 22 82°74'60'' 27°85'90'' Lalmatiya 250 23 82°64'75'' 27°86'79'' Sisahaniya 250 24 82°58'98'' 27°88'02'' Sonpur 250 25

4. Dang

82°52'30'' 27°87'42'' Chaulahi 250 26 80°45'86'' 28°91'63'' Krishnapur 200 27 80°48'15'' 28°69'75'' Baisibichawa 200 28 80°49'86'' 28°76'61'' Raikawarbichawa 200 29 80°40'04'' 28°75'31'' Shankarpur 200 30 80°38'67'' 28°95'84'' Jhalari 200 31 80°35'85'' 28°87'60'' Pipaladi 200 32 80°29'30'' 28°98'57'' Daijee 200 33

5. Kanchanpur

80°88'20'' 28°66'37'' Suda 200 34 84°97'29'' 27°66'37'' Padampokhari 150 35 84°88'46'' 27°42'72'' Handikhola 150 36 84°79'81'' 27°51'37'' Ramouli10 100 37

6. Makwanpur

84°78'28'' 27°51'78'' Pratappur10 100 38 7. Parsa 84°66'07'' 27°28'01'' Nirmalbasti 100 39 8. Palpa8 83°48'90'' 27°75'83'' Dovan 20 40 84°52'08'' 27°69'77'' Jutpani 150

41

9.Chitwan

84°50'64'' 27°57'58'' Bachhyauli 150

Grand Total 7500

A.4.2. Size of the project:

The proposed project falls under small scale type as per the new 11threshold (up to 60, 000 VERs per annum) for SSC projects under the Gold Standard.

A.4.3. Category(ies) of project activity: Category of the project Activity: Renewable Energy: Biogas12 Technology of the project activity: 9 Municipality 10 Village

11 Gold Standard Rules and Procedures Updates and Clarifications, September 6th 2007, available at www.cdmgoldstandard.org 12 According to the Appendix A of The Gold Standard VERs Manual for Project Developers

The biogas plants to be sold under this project activity will provide biogas for the thermal energy needs of households which have at least 2 heads of cattle (cow or buffalo). The use of biogas digester plants will displace fossil fuel and/or non-renewable biomass (firewood). In Nepal, the fixed dome design, called GGC 2047 model, which was designed and developed in Nepal, is the most popular. This model is considered to be reliable, well functioning, simple, durable and with low maintenance cost. This project would utilize the GGC 2047 model biogas digester. The biogas plants are based on a uniform technical design and are manufactured and installed following established technical standards in Nepal. The households feed cattle dung mixed with water into the biogas plant, which through anaerobic digestion produces biogas. The retention time of the slurry inside the tank is around 3 months. Biogas technology was first introduced in Nepal in 1955; household biogas digester plants have been developed and produced in Nepal since 1977. Currently 60 private companies are involved in producing and installing biogas plants. BSP-Nepal provides research and development support and technical assistance to the individual companies. Figure 2 below illustrates the technical design of the GGC 2047 Model Biogas Plant

The biogas digester is made up of several interconnected parts. The specific role of each component is summarized below: Inlet – The main purpose of the inlet is to mix organic material and water into a semi solid state. This mixture is fed into the digester via an inlet pipe. A hand operated mixer in the inlet helps mix the organic material and water thoroughly. Digester – The digester holds the mixture of manure and water while microorganism activity produces biogas. It is cylindrical in shape and is made of brick masonry with a concave concrete cover, or the dome. Dome - The purpose of the dome is to collect the gas produced in the digester. This is plastered in several layers and painted with a special paint in order to minimize gas leakage. Gas accumulates under the dome creating pressure

and pushing down the level of the slurry and increasing the slurry level in the connected slurry tank. It is the difference in slurry levels between the slurry tank and the inside of the dome that maintains the pressure to push the gas into the outlet pipe and into the kitchen. Outlet - The outlet valve releases the collected gas under the dome to burners for cooking and gas lamps for lighting purposes. Gas is conveyed to the kitchen in galvanized iron (GI) pipes. Water Drain – The water drain is put in at the lowest point of the GI pipe conveying gas to the kitchen. Its purpose is to release any condensed water from the pipeline. It needs to be opened and cleaned out periodically to make sure all the water in it is released. Slurry Tank: The slurry tank holds the slurry that the gas pressure from under the dome displaces. This slurry overflows into a composting tank as more manure is fed into the digester. The slurry can either be used directly as a fertilizer in its liquid form or can be turned into a more solid fertilizer after it has been composted with other organic material. A.4.4. Brief explanation of how the anthropogenic emissions of anthropogenic greenhouse gas (GHGs) by sources are to be reduced by the proposed project activity, including why the emission reductions would not occur in the absence of the proposed project activity, taking into account national and/or sectoral policies and circumstances: The project activity will reduce greenhouse gas emissions since biogas from bio digesters replaces the consumption of fuel wood and kerosene. Reduction in the use of both the kerosene, which is a fossil fuel and the largely unsustainable biomass by the proposed project activity, will reduce anthropogenic emissions. Currently, the biogas promotion activity under BSP-Nepal covers 65 of 75 districts in the country under a commercialization approach. Under this national program, biogas plants are purchased by those who can afford them and sales of plants are not focused on any particular areas. The proposed project activity seeks to reduce the dependency on forests for fuel/firewood by the local habitants in specific areas under the TAL program. At the program level, without the proposed Project Activity, penetration of biogas program would be very low in the TAL area. The national program under BSP-Nepal does not strongly focus on TAL area and so through this project in the TAL area targets to reduce fuel wood consumption by other alternatives like biogas plant. Furthermore the majority population in the TAL area is poor and unable to purchase biogas plants directly through a market mechanism. Without the project activity, it is most likely that residents of the TAL area would continue to use unsustainable biomass and kerosene for cooking. A.4.4.1. Estimated amount of emission reductions over the crediting period: It is estimated that the proposed project activity will result in approximately net emission reductions of 147,613 tons CO2 e over a crediting life of 7 years. This figure includes only Emission Reductions (ERs) generated during the operational life of the biogas plants, and will be further verified during the project operation. More detailed information on how anthropogenic GHG emission reduction will be achieved and the calculation of emission reductions are provided in Section B and Section E, respectively. Table A.4.4.1 Annual estimation of emission reductions in tonnes of CO2 e

Years Annual estimation of emission reductions in tonnes of CO2 e

2007 2,294 2008 6,887 2009 13,081 2010 23,096 2011 29,216 2012 29,216

2013 29,216 2014 14,608

Total emission reductions (tonnes of CO2 e) 147,613 Total number of crediting years 7 Annual average over the crediting period of estimated reductions (tonnes of CO2e)

21,088

PROJECT DESIGN DOCUMENT FORM (GS-VER-PDD) Voluntary Offset Projects - Version 01

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SECTION B. Application of a baseline methodology B.1. Title and reference of the approved baseline methodology applied to the project activity: Gold Standard (GS) Small Scale Biodigesters Methodology13 (Indicative program, baseline and monitoring methodology for Small Scale Bio digester.) B.1.1. Justification of the choice of the methodology and why it is applicable to the project activity: This methodology is applicable to programmes of activities involving the implementation of biodigesters in households within the project’s boundaries. The project activity is implemented by a project coordinator who acts as the project participant. The individual households will not act as project participants. The consumption of biogas from the biodigesters replaces the consumption of fossil fuel and/or biomass. According to the methodology, the following conditions apply to the methodology:

- The biodigester programme promotes the wide-scale use of biogas as substitute for wood, agricultural residues, animal dung and fossil fuels that are presently used for the cooking, space heating and lighting needs of most rural households.

- The methodology applies to project with biodigesters with a maximum total biodigester volume of 20 m3. - The biodigesters in the programme are not included in another CDM or voluntary market project, (i.e. no

double counting takes place). - If more than one climate zone is included in the project, the project should make a distinction per climate

zone. In line with this the project complies with this methodology as it involves installation of bio digesters, and meets all the applicability conditions stated in the application conditions as follows:

• The biodigester program promotes the wide-scale use of biogas as substitute for wood, agricultural residue,

animal dung and fossil fuels presently used for cooking, space heating, and lighting needs of most rural households.

– The project aims to sell 7,500 biodigesters to the same number of households who are presently mostly

using fuel wood for cooking activities.

• The methodology applies to project with biodigesters with a maximum total biodigester volume of 20 m3.

– The maximum size of the biodigester under this project is 10 m3. The following table B.2.1 gives details on biodijecters size and numbers.

Table: B1.1: Number of Plants to be installed Biodigester Size (m3) Numbers14

4 75 6 6,000 8 900 10 525

Total 7,500

13 Available at http://www.cdmgoldstandard.org/materials.php?id=75 14 Number of plants per size will vary depending on demand and subsidy available


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• The biodigesters in the program are not included in another CDM or voluntary market project, (i.e. no double counting takes place).

– The proposed 7,500 biodigesters are not the part of another CDM or voluntary market project

• If more than one climate zone is included in the project, the project should make a distinction per climate zone. – The proposed 7,500 biodigesters are located in one zone: Terai8 region of Nepal.

B.2. Description of how the methodology is applied in the context of the project activity: In many developing countries the level of energy service is not sufficient to meet human development needs due to lack of financial means and/or access to modern energy infrastructure. The methodology proposes different options for the baseline calculation depending on whether the project activity is implemented under a situation where energy services provided are sufficient or insufficient to meet the needs of stakeholders. According to the methodology, the baseline emissions caused by the consumption of fuel for thermal energy demand can be determined in three separate ways:

1. Pre-project situation 2. Project level energy service demand using a fossil fuel and appliance as in situation with satisfied demand 3. Satisfied demand with fossil fuel mix and technology different from pre-project

The below table summarises the approach considered for each of the baseline options.

Table B.2.1: Overview of baseline options Baseline option Level of

consumption Fuel technology Approach for data gathering

1: Pre-project situation Pre-project Pre-project situation

Questionnaire among households

2: Project level energy service demand with fossil fuel (and/or charcoal) technology

Project level

Technologies using fossil fuel/s and/or charcoal (one or more of charcoal, LPG, electricity, coal, kerosene, etc.)

Questionnaire among households with a higher standard of living outside the project boundary, to assess type of fuel and technology. Questionnaire among households using biogas to estimate level of fuel consumption.

3: Satisfied demand with different fuel mix and/or technology as pre-project

Satisfied demand

Satisfied demand (from one or more fossil fuels such as LPG, diesel, electricity, coal, kerosene, etc.)

Questionnaire among households with a higher standard of living outside the project boundary to assess type and level of demand for cooking and space heating services. Apply model to assess satisfied demand for heating.

In case of this project, the baseline scenario 1: pre-project situation has been selected. Households in the project area use biomass for their cooking need. The biomass used is in unsustainable manner. In comparison with other two baseline options this option is most appropriate for this project.


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The other two options have been omitted because of the following reasons. Baseline option 2: project level energy service demand using a fossil fuel and appliance as in situation with satisfied demand "Satisfied demand” is the situation where suppressed demand is satisfied through an increase in energy use (i.e. from an accessible and/or more affordable energy source). Since in Nepal, the level of energy service is not sufficient to meet human development needs due to lack of financial means and/or access to modern energy infrastructure, this baseline option is not appropriate for this project. All proposed biodigesters will be installed with subsidy, since the income of the households is low. Baseline Option 3: baseline emission from a situation with satisfied demand for type of fuel and technology and level of energy service demand. Due to the low economic status of the targeted households in the project are all the biogas plants to be installed will be subsidised. In the absesse of the proposed project the households will continue to use biomass for their cooking need. Hence the hypothetical use of fossil fuel as base line is not appropriate for this project. Procedure for selection of the most plausible baseline scenario The baseline scenario is one of the following options: a. The situation before implementation of the biodigesters (i.e. pre-project situation). b. The situation where fossil fuels are used to meet energy service needs (even if they are not currently being used). The situation before the implementation of the biogas plant is considered as most plausible baseline scenario. The use of fossil fuel seems to be neligible which has been supported by the baseline study as well. Hence the situation of use of fossil fuel is rulled out. B.3. Description of how the anthropogenic emissions of GHG by sources are reduced below those that would have occurred in the absence of the registered VER project activity: A Gold Standard voluntary offset project must be additional, that is the emission reductions from the project are additional to what would have happened in the absence of the project. The additionality of the project should be demonstrated using the latest version of the “Tool for the demonstration and assessment of additionality” that is available on the UNFCCC website15. According to the “Methodological Tool for the demonstration and assessment of additionality (Version 04)” to demonstrate and assess additionality the following step-wise approach should be followed: Step 1: Identification of alternatives to the project activity; Step 2: Investment analysis to determine that the proposed project activity is not the most economically or financially attractive; Step 3: Barriers analysis Step 4: Common practice analysis. In line with this, the additionality of the project is demonstrated as follows: Step 1: Identification of alternatives to the project activity

15 http://cdm.unfccc.int/methodologies/PAmethodologies/AdditionalityTools/Additionality_tool.pdf


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Sub-step 1a: Definitions of alternative scenarios to the proposed project activity. In the absence of the proposed activity the following alternative scenarios are identified:

Alternative 1: Continuation of the current practices – use of the unsustainable fuel food for cooking purposes- Business as usual Alternative 2: Biogas installations undertaken without being registered as a VER project activity Alternative 3: Use of the other Renewable Energy Technologies

Outcome of step 1a: The most realistic and credible alternative scenario to the project activity is Alternative 1: Continuation of the current situation Sub-step 1b: Consistency with mandatory laws and regulations Alternative 1: Continuation of the current practices - Business as usual This alternative is in full compliance with current applicable laws and regulations. There are no local regulations or programs restricting the use of kerosene, natural gas or firewood as a household thermal fuel use in Nepal. Alternative 2: Biogas installations undertaken without being registered as a VER project activity Currently, the biogas promotion activity under BSP-Nepal covers 65 of 75 districts in the country under a commercialization approach. Under this national program, biogas plants are purchased by those who can afford them and sales of plants are not focused on any particular areas. The proposed project activity seeks to reduce the dependency on forests for fuel/firewood by the local habitants in specific areas under the TAL program. At the program level, without the proposed Project Activity, penetration of biogas program would be very low in the TAL area. The national program under BSP-Nepal does not strongly focus on TAL area and so through this project in TAL area it targets to reduce fuel wood consumption by other alternatives like biogas plant. Furthermore the majority population in the TAL area is poor and unable to purchase biogas plants directly through a market mechanism. Without the project activity, it is most likely that residents of the TAL area would continue to use unsustainable biomass and kerosene for cooking. Alternative 3: Use of the other Renewable Energy Technologies This proposed alternative is not mandated by the law either from the government or at the district level. Although the government through Alternative Energy Promotion Center (AEPC) is promoting such renewable energy endeavours, presently there is no other suitable technology (beside biogas) which will substitute the equal amount of the unsustainable fuel wood needed in rural households for cooking. Therefore most likely the project participants will continue use the unsustainable fuel wood. Outcome of step 1b: Thus Alternative 1: continuation of current dependence on unsustainable fuel wood for cooking purposes is the chosen baseline as being most realistic. Step 2: Investment analysis to determine that the proposed project activity is not the most economically or financially attractive The purpose of this analysis is to determine whether the proposed project activity is not:


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(a) The most economically or financially attractive; or (b) Economically or financially feasible, without the revenue from the sale of Verified emission Reductions (VERs).

Sub-step 2a: Determine appropriate analysis method

Due to the low income of the target households, all the bigas plants will be installed with subsidy. The project can not be realized without subsidy. There is a significant funding gap of US$1,920,877 at program level.

Sub-step 2b: Option I. Apply simple cost analysis

Not applicable Sub-step 2b: Option II. Apply investment comparison analysis

Not applicable

Sub-step 2b: Option III. Apply benchmark analysis Not applicable Sub-step 2c: Calculation and comparison of financial indicators (only applicable to Options II and

III): Not applicable

Sub-step 2d: Sensitivity analysis (only applicable to Options II and III):

Not applicable Step 3: Barriers analysis Investment Barriers: Investment barrier at the individual household level Depending on size and location, a biogas plant costs varies between US $350 and US $634, whereas the average cost of the plant has been considered as US $369. The average per capita income in districts under project activity is around US$20016.The high up-front investment cost of a biogas plant is a barrier for households in the project area to willingly switch to the more environmentally friendly technologies. So far the conventional and least cost cooking technology in the project area is the traditional or improved stove burning a combination of firewood, agricultural residue, and animal manure. Both the traditional stove and the improved cooking stove are low-cost devices constructed from local materials17. Therefore, the subsidy18 provided under the proposed project will be an essential financial incentive for farmers deciding to install a biogas plant. At the household level, the financial model is represented a follows: Average cost of Plant including subsidy - $369

16 Nepal Human Development Report, 2004 17 The total cost of an improved stove can range from US$3-6 and the cost of a kerosene stove ranges from US$6-8.7 18 WWF Nepal Program will release subsidy to plant owners as per the standard government subsidy rates through the biogas companies who will be responsible for biogas installation


page 18

WWF Subsidy19 per plant - 100 US$20 CFCC (MFIs) - 185 US$ (interest rate to be fixed by community) Equity - 84 US$ WWF Subsidy for toilet - 31 US$ The implementation of this project requires total finance of US$ 3,226,190.00. It includes the the following costs.

Table B.3.1: Summary of the Budget requirement and source of financing

Budget Item Amount

(US$) Source Development cost (US$) Program Operational Cost 449,336 WWF/Donor Program Costs (Subsidy for toilet, data management, monitoring etc) 581,573 WWF/Donor Installed costs (US$) Subsidy 569,477 WWF/Donor Laon fund for Biogas Installation 597,453 WWF/Donor Farmers' contribution as equity 632,885 Farmers

MFIs' loan 302,870 Short term loans

Other cost (US$)

CDM project development and annual verification cost 92,595 WWF/Donor Total Project cost (US$) 3,226,190

Summary

Equity Farmer 632,885 Donor 430,397 Short Term Loans MFIs 302,870 Total 1,366,152 Funding Gap 1,860,038

As there is a funding gap of US$ 1,860,038.00 the project could not be financially feasible with out VER revenue. At prices of approximately US$ 11.25 per tCO2e this project aims to bring total carbon revenue of approximately US$ 1,010,464.00. Thus, the carbon finance is expected to fill a majority of the financing gap, and will contribute to the program aim to ensure equitable contribution of the intended subsidies among vulnerable community households. The Terai Arc Landscape (TAL) project, being implemented by WWF, aims to restore forests, and link 11 existing protected areas distributed over 49,500 km2 in the outer foothills of the Himalayas. The area stretches from Nepal's 19 The funding of the project activities for the biogas program has not resulted in the diversion of ODA and this funding is not counted towards the financial obligation of the concerned Parties. Letter of affirmation on this from WWF Nepal Program presented in Appendix 4. 20 Conversion Rate : 1 US $ = 65 NRs


page 19

Parsa Wildlife Reserve in the east, to India's Corbett National Park in the west. Root causes analysis reveals that poverty, lack of alternative livelihood opportunity, and inadequate conservation awareness are underlying and cross cutting issues contributing to the loss of biodiversity in the TAL area. Sample surveys among 397 beneficiary households indicate that the majority of farmers acquire firewood at no monetary expense. According to this survey, only 2.50% of sampled households purchase firewood. The majority collect fuel from nearby forests. Firewood can be costly if purchased at the official government price of about US$0.02/kg of wood, and a liter of kerosene costs US$1. Restoration of the biological corridor can be achieved through support to communities for plantation, natural regeneration of degraded forests, promotion of community management of forests, institutionalization of Community Forest User Groups (CFUGs), support to communities to manage grazing, and promotion of alternative energy technologies. The program has already supported 550 targeted households to install toilet-attached biogas plants, as well as 2,000 households install Improved Cooking Stoves (ICS). The primary objective in promoting these alternative cooking technologies is to reduce the pressure on nearby forests. The above activity has helped to save more than 4,000 MT of fuel wood annually. Depending on size and location, a biogas plant costs varies between US $350 and US $634, whereas the average cost of the plant has been considered as US $369. The average per capita income in districts under project activity is around US$20021.The high up-front investment cost of a biogas plant is a barrier for farmers in the project area to willingly switch to the more environmentally friendly technologies. So far the conventional and least cost cooking technology in the project area is the traditional or improved stove burning a combination of firewood, agricultural residue, and animal manure. Both the traditional stove and the improved cooking stove are low-cost devices constructed from local materials22. Therefore, the subsidy23 provided under the proposed project will be an essential economic incentive for farmers deciding to install a biogas plant. The subsidies are greater for 4m3 and 6m3 plants than for 8m3 plants. This is to encourage poorer farmers who have fewer cattle, and are less likely to pay for firewood to purchase plants.

Table B.3.3: Cost of biogas plants in Nepal (US$). Location Size(m3) Average

Cost Subsidy Net Cost

4 350 103 247 6 476 103 373

Terrai

8 555 95 460 4 476 150 326 6 555 150 405

Hills

8 634 143 491 Source: NBPA Quotation, 2007/08

Biogas construction without subsidy is therefore not a financially attractive initiative for the rural farmers in the TAL area, and they will opt to use the conventional fuels to meet their cooking energy needs. 21 Nepal Human Development Report, 2004 22 The total cost of an improved stove can range from US$3-6 and the cost of a kerosene stove ranges from US$6-8.7 23 WWF Nepal Program will release subsidy to plant owners as per the standard government subsidy rates through the biogas companies who will be responsible for biogas installation


page 20

The Table B.3.2 below shows the financial analysis for this project. Financial analysis of 7,500 biogas plants Assumptions Performance rate of Biogas Plants 97% Nepal Biogas PDD Activity 1 Crediting period per system 7 years

CO2 reduction 4.02 tCO2/OBP/yr

ER Price $ 11.25 per tCO2 Discount rate 10% Grant support for toilet construction (per Plant0 $ 30.8 Biogas Subsidy per plant $ 100.0 Equity of Household $ 84.4 Loan per plant $ 184.6 Exchange Rate $1 65

Source: http://www.nepalnews.com.np/forex.php Date 5/1/2008

2007 2008 2009 2010 2011 2012 2013 2014 NPV Year

1 2 3 4 5 6 7 8 Total

Biogas Plants New installations 1,178 1,180 2,000 3,142 0 7,500 Cumulative installations 1,178 2,358 4,358 7,500 7,500 7,500 7,500 7,500 Operational Cumulative 1,143 2,287 4,227 7,275 7,275 7,275 7,275 7,275 -

CO2 reduction (tCO2)

2,294

6,887 13,081 23,096 29,216 29,216

29,216

14,608 147,613

Expenditures Program Operational Cost for WWF

65,499

58,697 116,423 166,397 56,286 62,447

68,678

74,423 668,850 449,336

Program Cost

Cost of BSP for quality control, company mobilization and data

36,482

39,285 71,569 120,846 268,182


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management

Cost of AEPC for monitoring and subsidy management

4,712

4,720 8,000 12,568 30,000

Grant Support for toilet construction

36,246

36,308 61,538 96,677 230,769

Loan fund required for financing biogas plants

217,477

109,108 151,569 286,523 - 764,677 597,453

Subsidy

117,800

118,000 200,000 314,200 750,000 569,477 Additional Subsidy for the poor 9,231 18,127 27,358 Additional Subsidy for LPD (Least Penetrating District) 3,077 4,834 7,911 Insurance of Biogas Plants

7,255 13,409 23,077 23,077

23,077

23,077 112,972 Biogas Promotion Cost 15,000 15,000 30,000 Monitoring cost for the biogas plants- Independent users survey 7,500 7,500 7,500 7,500

7,500

7,500 45,000

Quality Control of Biogas Plants 3,021 6,046 11,174

19,231

19,231 58,703

Gold Standard Levy on Carbon Credit 7,226 2,310 2,922 2,922

2,922

1,461 19,761

Total Cost Required for Program

478,216

366,118 658,389 1,061,411 95,830 107,120

121,407

125,692 3,014,183 2,197,840

CDM Cost

CDM Project Preparation Cost

29,835

20,669 - - - - - -

Annual CDM Verification Cost

15,000 10,000 10,000 10,000 10,000

10,000

10,000 75,000

Total CDM Cost

29,835

35,669 10,000 10,000 10,000 10,000

10,000

10,000 125,504 92,595

Incomes

Grant Funding

355,255

130,000 - - - - 485,255 430,397


page 22

From ER

25,812

77,480 147,159 259,829 328,675 328,675

328,675

164,338 1,660,641 1,010,464

Cash flow without ER

Annual

(122,961)

(236,118) (658,389) (1,061,411) (95,830) (107,120)

(121,407)

(125,692)

Cumulative

(122,961)

(359,079) (1,017,468) (2,078,878) (2,174,709) (2,281,829)

(2,403,236

)

(2,528,928

)

NPV without ER (1,767,443

) Cash flow with ER and grant funding

Annual

(126,984)

(194,307) (521,230) (811,582) 222,845 211,555

197,268

28,646

Cumulative

(126,984)

(321,291) (842,521) (1,654,104) (1,431,259) (1,219,704)

(1,022,436

)

(993,790) NPV with ER and with grant funding

(849,574)

Cash flow with ER and w/o grant funding Annual (482,239) (324,307) (521,230) (811,582) 222,845 211,555 197,268 28,646

Cumulative (482,239) (806,546) (1,327,776) (2,139,359) (1,916,514) (1,704,959) (1,507,691

) (1,479,045

)

NPV with ER and w/o grant funding

(1,279,972

) Total expenditures and ER income (482,239) (324,307) (521,230) (811,582) 222,845 211,555 197,268 28,646 Total expenditures and ER income and grant (126,984) (194,307) (521,230) (811,582) 222,845 211,555 197,268 28,646 Total expenditures and ER income/cumulative (482,239) (806,546) (1,327,776) (2,139,359) (1,916,514) (1,704,959)

(1,507,691)

(1,479,045)

Total expenditures and ER income (126,984) (321,291) (842,521) (1,654,104) (1,431,259) (1,219,704) (1,022,436 (993,790)


page 23

and grant/cumulative )


page 24

Technological Barriers: An essential part of the marketing strategy for biodigesters in Nepal is the quality of the product and the services. As the investment for a biodigester is high, low quality plants with a short lifespan cannot be accepted. Furthermore a well functioning plant is the best possible promotion, and the satisfied user is the best possible promoter for biodigester technology in rural settings. Therefore, control of quality regarding plant sizing, construction, user training on operation and maintenance and after-sales services are of utmost importance. In the absence of a proper quality control mechanism, suppliers of biogas plants would compete solely on price. Users cannot determine the quality of biogas plants. Thus, without the proposed VER project activity, biogas companies would have an incentive to save on costs and provide poor quality systems. Currently, in addition to the subsidy that it administers, BSP-Nepal provides quality control on all plants constructed by participating companies. A lot of effort has been put in plant model selection and modifications, proper quality standards for plant construction, appliances and after-sales service and technical training for masons and supervisors. VER revenues can support quality control and assurance function necessary to maintain standards in construction and, subsequently, the performance of the technology. As a part of the project, an average of US$ 36 per plant has been allocated to BSP-Nepal for annual quality control, database management and biogas company mobilization. Refer Table B.3.1. Step 4: Common practice analysis The Biogas Support Program (SNV/BSP), the umbrella biogas program in Nepal started in July 1992. By June 2006, 150,00024 bio plants have been installed all over the country. With 84.08 %25 of households (3,509,687 hhs) residing in rural areas and having access to unsustainable source of energy, the penetration of this renewable technology under this program within the country is very low i.e. 4% only. Moreover, the 71,432 plants installed in Terai during that period reflect only 6.56% of the total potential of 1,089,445 biogas plants in that region. Therefore this proposed project will encourage replication of this technology among other stakeholders as WWF Nepal Program addresses nature conservation issues in Nepal. This will also speed up the penetration of this technology in eco-sensitive areas of Nepal. B.4. Description of how the definition of the project boundary related to the baseline methodology selected is applied to the project activity: Under this project, the physical, geographical site of the renewable energy generation delineates the project boundary. Table B.4.1 shows the emission sources and gases included or excluded in the project boundary.

24 http://www.biogasnepal.org/pdistribution.htm 25 District Demographic Profile of Nepal, Informal Sector Research and Study\y Center; 2002, page 26


page 25

Table B.4.1: Overview of emission sources Source Gas Included? Justification / Explanation

CO2 Yes Major source of emissions CH4 No Excluded for simplification, this is

conservative Thermal energy need

N2O No Excluded for simplification, this is conservative

CO2 No Excluded as CO2 emissions from animal waste are CO2 neutral.

CH4 Yes Major source of emissions

Base

line

Animal waste handling and storage N2O No Excluded for simplification.

CO2 No Excluded as CO2 emissions from biogas incineration are CO2 neutral.

CH4 Yes Emissions from physical leakage and incomplete combustion of biogas Pr

ojec

t Ac

tivity

Direct emissions from the biodigester N2O No Excluded for simplification

Notes:

1. Insignificant emission sources (emissions < 1% of total baseline emissions) at the baseline situation are not included in calculations. These emissions are:

- CO2 emissions from burning kerosene; - CO2 emissions from burning LPG - CO2 emissions from burning agriculture and fodder residues;

B.5. Details of baseline information, including the date of completion of the baseline study and the name of person (s)/entity (ies) determining the baseline: Details of Baseline: The baseline for this project is determined in accordance with the following paragraph from the applied methodology:

“The baseline emissions involve emission from use of fossil fuel and non-renewable biomass for cooking and heating, and emissions from the handling of animal waste in the baseline situation”.

Baseline emissions from fuel consumption for thermal energy needs are determined through Baseline Option 1: Baseline Emission from thermal energy demand in the pre-project situation, the overview of which is presented in Table B.5.1 below.

The following is the overview of the selected Baseline Option 1: Table B.5.1: Overview of Baseline Option 1 Baseline option Level of

consumption Fuel technology Approach for data gathering

1: Pre-project situation Pre-project Pre-project situation Questionnaire among households The following steps are to be followed to determine baseline emissions from thermal energy demand:

1. Determine baseline emissions from fuel consumption 2. Adjust baseline emissions for the share of non-renewable biomass


page 26

Baseline emissions from fuel consumption Fossil fuel and biomass, as per proposed methodology, is identified through survey in a sample of the total population Baseline emissions for the share of non-renewable biomass The proposed guidelines on the determination of the share of Non-renewable Biomass (NRB) are presented in Annex 2. Baseline emissions from animal waste handling are determined by using IPCC Tier 1 approach. This approach is applicable on households without a distinctive animal waste management system, i.e. livestock is not kept at the household premises or in the very near vicinity. The animal waste will only be partially collected for utilisation. Estimated anthropogenic emissions by sources of greenhouse gases of the baseline: The total baseline emissions are calculated as the sum of total CO2 emission in the pre-project situation and baseline emissions from animal waste handling as:

awth BEBEBE += (B.5.1)

Where:

BE = Total baseline emissions in the pre-project situation (tonnesCO2/year) BEth, = Baseline emissions from fuel consumption for thermal energy needs of households (tonnesCO2/year) BEaw = Baseline emissions from animal waste handling of households (tonnesCO2/year)

Calculation of Fuel Consumption Emissions (BEth) The baseline emissions from the thermal use are determined from fossil fuel and non-renewable biomass use in the baseline situation. The methodology and related calculations are described in Annex 2.1. The NRB is calculated as 87%. All calculation presented below are adjusted to the share of the non-renewable biomass. The total CO2 emission in the pre-project situation was calculated using the formula below:

⎟⎟⎠

⎞⎜⎜⎝

⎛⋅−=

bl

BEBEyhh n

znBEσ

µ, (B.5.2)

Where:

BE = The total amount of CO2 emission in the pre-project situation (tonnes CO2/year) nhh,y = Total number of households participating in the program for the monitoring interval y. In this

project y = 7,500 σBE = Standard deviation of CO2 emission in the baseline situation µBE = Mean of CO2 emission of households included in the baseline sample group (tonnes

CO2/year) nbl = Total number of households included in the baseline sample group z = Standard normal for a confidence level of 95% (1.96)

Step 1: Calculation of µBE


page 27

The mean of household baseline CO2 emission is calculated as follows:

bl

h

nBE

BE∑=µ (B.5.3)

Where:

µBE = Mean of CO2 emission of households included in the baseline sample group (tonnes CO2/year)

BEh = The amount of CO2 emission in household h included in the baseline sample group in the baseline situation (tonnes CO2/year)

nbl = Total number of households included in the baseline sample group

The BEth,h for adopted baseline option 1 for baseline emission from thermal energy demand in the pre project situation is calculated as:

( )( )iCOih EFNCVBE 2hbl,i,F ⋅⋅Σ= (B.5.4) Where:

BE,h, = The baseline emissions used to meet the thermal energy need of one household (tonnes CO2/year)

Fi,bl,h = The total amount of fuel i in the baseline situation (mass or volume) of one household (tonnes/year)

NCVi = The net calorific value (energy content) per mass or volume unit of a fuel I (TJ/tonnes) EFCO2,i = The CO2 emission factor per unit of energy of the fuel i (tonnes CO2/year)

The sample survey26 was carried out in 39727 households to determine the total amount and type of fuel to meet the thermal demand of the surveyed households in the baseline situation. The results of the survey are presented in Table B.5.2 below. The results shows that to fulfil thermal demand among 397 households, 395 households use firewood, 131 households use fodder residue, 15 households use dried animal dung, 14 households use LPG, three households use agriculture residue and only one household use kerosene. The total amount of the fuel used by all households per year as calculated as per results of the questionnaires is as follow: firewood – 1,316,408 kg/year; fodder residue – 41,040 kg/year; dried animal dung 3,720 kg/year; agriculture residue – 492 kg/year and kerosene – 60 liters/year. For the purposes of this project, the insignificant emissions sources (emission < 1% of total baseline emissions) are not included in the calculations; therefore CO2 emissions from burning only fuel wood are assumed. Table B.5.2: Type of Energy Sources among Surveyed Households

Source of energy Total Quantity Per month No. of HH Average Quantity per

household per month Fire wood (Kg) 109,704 395 278 Agriculture residue (Kg) 41 3 13 Fodder residue (Kg) 3,420 131 26

26 Details of the determination of the size, selection of the households to be included in the sample survey and questionnaire used are presented in Annex 2.2 and Annex 2.3 respectively 27 The database of the 397 households is presented in Annex 2.4


page 28

Dried animal dung (Kg) 310 15 20 Kerosene (Lt) 5 1 5 Cooking gas (Kg) 114 14 8

Firewood baseline emissions Using Formula B.5.4 the baseline emissions (BEh) used to meet the thermal energy need of one household is calculated. The following values for fuel wood were assumed: NCVw28 = 0.0156- The net calorific value (energy content) per mass or volume unit of wood (TJ/tonnes) EFCO2w29 = 112,000 - The CO2 emission factor per unit of energy of the firewood (kgCO2/TJ) The total amount of the baseline emission from all households in calculated as: ∑ hBE = 1,993 tonnesCO2e/year Then, using the formula E 4.3, the µBE (mean of CO2 emission of households included in the baseline sample group) is calculated and is equal to:

395993,1

== ∑bl

h

nBE

BEµ = 5.046 (tonnesCO2e/year)

Step 2: Calculation of σ BE,th The standard deviation of CO2 emission in the baseline situation is calculated as follows:

( )1

2,

, −

−=∑

bl

thhth

thBE n

BEBE µσ (B.5.5)

Where:

σ BE,th = Standard deviation of CO2 emission in the baseline situation µBEth = Mean of CO2 emission of households included in the baseline sample group(tonnes

CO2/year) BEth,h = The amount of CO2 emission in household h included in the baseline sample group in the

baseline situation (tonnes CO2/year) nbl = Total number of households included in the baseline sample group = 395

According to the calculation:

28 2006 IPCC Guidelines, Volume 2, Table 1.2 29 2006 IPCC Guidelines, Volume 2, Table 1.4


page 29

2

, )( thhth BEBE µ−∑ = 3,985 (tonnesCO2e/yr) Then the standard deviation of CO2 emission in the baseline situation is calculated as:

1395985,3

, −=thBEσ = 3.180

Step 4: Calculation of the total CO2 emission in the pre-project situation Formula B.5.2 is used for calculation.

⎟⎟⎠

⎞⎜⎜⎝

⎛−=⎟

⎟⎠

⎞⎜⎜⎝

⎛⋅−=

395180.396.1046.5500,7,

bl

BEBEyhhth n

znBEσ

µ ≈ 35,495 (tonnesCO2e/yr)

Calculation of BEaw,

The baseline emissions from handling of animal waste are calculated using IPCC TIER 1 approach of 2006 IPCC Guidelines for National Greenhouse Gas Inventories. The justifications for using this approach are presented in Section B. The following formula is used:

aiawkSTThaw NEFMSBE *)( ,,,1,, ⋅Σ= (B.5.6) Where:

BEaw,h,,,T1= the baseline emission from handling of animal waste in year y for household h (kgCH4/year) MST,,h,k = fraction of livestock category T's manure treated in the animal waste management system, in

climate region k, dimensionless EFT,,aw,i = the animal waste methane emission factor by average ambient temperature in kgCH4animal-1yr-1 for

livestock category T Na = Average number of animals per household

The needed parameters are derived from sample survey among 39730households. According to the survey 314 households own dairy cows, and 157 households own buffaloes. There are number of households that also own other animals such as goats, chicken pigs etc. However, the calculations for animal waste emissions were done only for dairy cows and buffaloes. According to survey: Navg.cow, h = 2.949 (Average number of dairy cows per household)

30 SPSS Livestock Database of 395 HHs Considered in the Baseline Calculation presented in Annex 2.5. Although baseline survey was conducted in 397 HH, there was no suffient data for 2 HHs so these 2 households were considered as non responsed.


page 30

Navg.buffalo, h = 1.892 (Average number of buffaloes per household) Other parameters are derived from IPCC 2006. MS cow31 = 50% MS buffalo = 50% EFcow32 = 5 kgCH4 animal-1 year-1 EFbuffalo33 = 5 kgCH4 animal-1 year-1 The baseline emissions from handling of animal waste for one household are then calculated as:

=+= )5*5.0*892.15*5.0*949.2(1,, ThawBE 12.1025 kgCH4/year = 0.0121 tonnesCH4/year The total baseline emissions from handling of animal waste by the 7,500 project participants in units of CO2 equivalent is then calculated as:

906,1500,7*)(*012.0 4 == CHGWPBEaw tonnes CO2e/year Where, GWP (CH4) = 21 is the global warning potential of CH4 (tonnes CO2/tonnes CH4) Total Baseline Emissions

awth BEBEBE += = 35,495+1,906 = 37,401 tonnes CO2e/year

Date of completion of the final draft of this baseline study 30/10/2007 Name of the person/entity determining the baseline: The baseline study has been developed by Winrock International Nepal, a backstopping organization for preparation of GS VER documentation and capacity building in the micro finance related activities. Winrock International Nepal is not a project participant under this activity. Contact Person: 31 Tier 1 Methodology emission factor for Indian and subcontinent assumes that half of the dung is used for fuel and remainder is managed by in dry lots. This is in line with the situation in Nepal. Estimated dung use for fuel in Terai is roughly 46% and in hills around 36%. 32 2006 IPCC Guidelines, Volume 4, Table 10.14 33 2006 IPCC Guidelines, Volume 4, Table 10.14


page 31

Mr. Bibek Chapagain Acting Director Winrock International Nepal 1103/68 Devkota Marga, Baneswhor P.O Box 1312, Kathmandu, Nepal Tel: 977-1-4467087 Fax: 977-1-4476109 [email protected] SECTION C. Duration of the project activity / Crediting period C.1 Duration of the project activity: C.1.1. Starting date of the project activity: 1st January, 2007 C.1.2. Expected operational lifetime of the project activity: 2534 years C.2 Choice of the crediting period and related information: C.2.1. Renewable crediting period Yes C.2.1.1. Starting date of the first crediting period: 1st July, 2007 C.2.1.2. Length of the first crediting period: 7 years C.2.2. Fixed crediting period: Not applicable C.2.2.1. Starting date: C.2.2.2. Length:

34 No data is recorded on this, however the practical knowledge shows that the projects of such type has even longer period.


page 32

SECTION D. Application of a monitoring methodology and plan D.1. Name and reference of approved monitoring methodology applied to the project activity: Gold Standard (GS) Small Scale Biodigesters Methodology35 (Indicative programme, baseline and monitoring methodology for Small Scale Bio digester) D.2. Justification of the choice of the methodology and why it is applicable to the project activity: The proposed methodology is applicable for this project activity because it was specifically designed for this category of projects. The proposed monitoring system for a similar project already exists within BSP–Nepal, which will be responsible for implementing the monitoring plan under this project activity. Presently, two separate CDM Project Activities36 for household biogas are ongoing under Alternative Energy Promotion Centre. BSP-Nepal is the implementing agency of these two activities. Therefore, all elements proposed in the methodology are in line with the existing methodology, thus ensuring quality in implementing the monitoring plan. Monitoring, as per approved methodology will involve:

• Ex-post identification of the number of households that took part in the programme at the beginning of the monitoring interval y.

• Identification of the households that are randomly selected for the project sample. • Ex-post collection of data on fuel use and input of excrements and biomass into the digester. • Ex-post calculation of the mean and standard variation of baseline and project emissions and ex-post

calculation of emission reductions. • All monitored data should be stored in the electronic database. A complete extract of the database should be

made available to the Designated Operational Entity (DOE) with each monitoring report. • All measurement equipment should be calibrated and regularly maintained and checked for its functioning

according to manufacturer’s specification and relevant national or international standards.

Quality Assurance of Questionnaire distribution and collection The emission reduction is based on field questionnaires administered to a sample of users, the quality assurance lies in the design of the questionnaires, their reliable administration and calculations based on the data analysis. It is therefore of high importance that the questionnaires are administered by specially trained personnel with extensive experience. Quality Assurance of this process will be carried out jointly by WWF Nepal Program and BSP Nepal.

Quality Control

35 Available at http://www.cdmgoldstandard.org/materials.php?id=75 36 An MoU was signed by the Alternative Energy Promotion Centre (AEPC) and the World Bank in 2004 to develop CDM project in the BSP of Nepal, starting from development of a methodology. The MoU included trading of Emission Reduction equivalent to 1 million tons of CO2. Two small scale CDM Projects with a total of 19,396 biogas plants were registered with the CDM Executive Board in December 2005 and approved. Consequently, an Emission Reduction Purchase Agreement (ERPA) was signed by the AEPC and the World Bank in May 2006 for trading of the Emission Reductions (ERs) from the two CDM Projects for 7 years. An Implementation Agreement was also signed in May 2006 between AEPC and Biogas Sector Partnership-Nepal (BSP-Nepal).


page 33

The Quality control is to be performed by BSP Nepal or by WWF Nepal Program on a regular basis. They will visit a select group of households which is part of the project sample group. They must at least fulfil the same knowledge requirements as the survey team. At the household they will assess the reliability of the questionnaire by checking the figures provided by the respondents. If deviations occur, the value will be adjusted accordingly. Gold Standard Sustainable Indicators: In addition, as per the requirement of Gold Standard, the following sustainable development indicators will be monitored: Sustainable Indicator for the Access to energy services:

• Sales registration/Monitoring Sustainable Indicators for the Employment:

• Jobs created • People Trained

Sustainable Indicators for the Livelihoods of the people:

• Time Saved by households • Toilets Constructed

Sustainable Indicator for the Technological Self Reliance:

• Number of people from MFI’s, CFCC trained • Number of plants MFIs financed through CFCC


page 34

D.2. 1. OPTION 1: Monitoring of the emissions in the project scenario and the baseline scenario Not Applicable D.2.1.1. Data to be collected in order to monitor emissions from the project activity, and how this data will be archived: Not Applicable ID number (Please use numbers to ease cross-referencing to D.3)

Data variabl

e

Source of data

Data unit

Measured (m),

calculated (c) or

estimated (e)

Recording frequency

Proportion of data to

be monitored

How will the data

be archived? (electronic

/ paper)

Comment

D.2.1.2. Data to be collected in order to monitor project performance on the most sensitive sustainable development indicators: Not Applicable Sustainable Development Indicator

Data type Data variable

Data unit

Measured (m), calculated (c) or estimated (e)

D.2.1.3. Description of formulae used to estimate project emissions (for each gas, source, formulae/algorithm, emissions units of CO2 equ.) Not Applicable

D.2.1.4. Relevant data necessary for determining the baseline of anthropogenic emissions by sources of GHGs within the project boundary and how such data will be collected and archived :

Not Applicable ID number (Please use numbers to ease cross-referencing to table D.3)

Data variable

Source of data

Data unit

Measured (m),

calculated (c),

estimated (e),

Recording frequency

Proportion of data to be monitored

How will the data be

archived? (electronic/

paper)

Comment

D.2.1.5. Description of formulae used to estimate baseline emissions (for each gas, source, formulae/algorithm, emissions units of CO2 equ.) Not Applicable


page 35

D. 2.2. OPTION 2: Direct monitoring of emission reductions from the project activity (values should be consistent with those in Section E). D.2.2.1. Data to be collected in order to monitor emissions from the project activity, and how this data will be archived: Table D.2.2.1: Data to be monitored ID number (Please use numbers to ease cross-referencing to table D.3)

Data variable Source of data Data unit Measured (m),

calculated (c),

estimated (e),

Recording frequency


How will the data

be archived? (electronic

/ paper)

Comment

1 Project Area GIS Tool/WWF Nepal Program

Km2 (e) Once at the beginning of the project

100% Electronic The entire area for 9 districts is fixed.

2 Number of households in the baseline sample group - nbl

Project Participant/Survey number (c)+ (e) Once, first year.

Statistically significant sample will be chosen and adopted

Electronic As per approved methodology Step 4; page 15.

3 Number of households in project sample group npj

Project Participant/Survey number (c)+ (e) Annually Statistically significant sample will be chosen and adopted

Electronic

4 Total number of households participating in the programme in year y nhh.y

BSP Data Base number (m) Annually N.A Electronic


page 36

5 Amount of fuel i consumption in the baseline in baseline: Fi,bl1

Project Participant/Survey Tonnes/year (c)+ (e) Once Statistically significant sample will be chosen and adopted

Electronic Calculated based on sample survey and then estimated for population.

6. Amount of fuel I consumption in the project in year y: Fi,y, pj

BSP Data Base Tonnes/year (c)+ (e) Annually Statistically significant sample will be chosen and adopted

Electronic Calculated based on sample survey and then estimated for population

7 Annual biomass increment on the project areai: I

Project Participant/Obtained from field surveys or a GIS or Data from MOF

Tonnes/year (c) Annually 100% Electronic

8 Annual biomass harvest in the project area i: H

Project Participant/Obtained from field surveys or a GIS or Data from MOF

Tonnes/year (c) Annually 100% Electronic

9 Fraction of livestock category T's manure fed into the biodigester, S in climate region k: MS(T,S,k)

Project Participant/ Survey %

(c) Once Statistically significant sample will be chosen and adopted

Electronic

10 Physical Leakage of the biodigester: PL

Methodology %

(e) Once Statistically significant sample will be chosen and adopted

Electronic Fixed as 10% per methodology

11 Number of life stock of category K: LC

BSP Data Base Number

(c)+ (e) Annually Statistically significant sample will be chosen and adopted

Electronic

12 Sales registration/Monitoring

Registration of sales Numbers (c) Annually

100% Electronic BSP (According to the existing practices) Sustainable Indicator for the Access to energy services


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13 Performance Monitoring Performance Ratio % (c) Annually 5% Electronic BSP (According to the existing practices

14 Jobs Created BSP Survey Numbers (c) Annually 100% Electronic Sustainable Indicator for the Employment

15 Time Saved by households Project Participant/ Survey Hours (m)+ (c)+ (e) Annually Statistically significant sample will be chosen and adopted

Electronic Sustainable Indicator for the Livelihoods of the people

16 Toilets Constructed BSP Survey Number (c) Annually 100% Electronic Sustainable Indicator for the Livelihoods of the people

17 People Trained BSP Survey Number (c) Annually 100% Electronic Sustainable Indicator for the Employment

18 Number of people from MFI’s, CFCC trained

WWF Nepal Program Database

Number (c) Annually 100% Electronic Sustainable Indicator for the Technological Self Reliance

19 Number of plants MFIs financed through CFCC

WWF Nepal Program Database

Number (c) Annually 100% Electronic Sustainable Indicator for the Technological Self Reliance


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D.2.2.2. Description of formulae used to calculate project emissions (for each gas, source, formulae/algorithm, emissions units of CO2 equ.): The project emissions during the monitoring interval y (the time period between two spot checks) involve emission from household fuel consumption after installation of the biodigester and emission from the biodigester as specified in Formula D.2.2.2.1

yhrbiodigesteyhthhy PEPEPE ,,,,, += (D.2.2.2.1) Where: PE,y,,h = Project emissions per household h in year y (tonnesCO2e/year) PE,th,,h,y = Project emissions from fuels used to meet the thermal energy need per household h in year y

(tonnesCO2e/year). PE,biodigester,,h, y= Project emission from the biodigester per household h in year y (tonnesCO2e/yr). Calculating project emissions from fuels used The total CO2 emission from fuel used to meet the thermal demand in the project situation can be calculated as follows:

⎟⎟

⎠

⎞

⎜⎜

⎝

⎛⋅+=

pj

PEPEyhh n

znPEσ

µ, (D.2.2.2.1.1)


page 39

Where: PEth,h,y = The total amount of CO2 emission in the project situation. nhh,y = Total number of households participating in the program for the monitoring interval y. σPE, = Standard deviation of CO2 emission in the project situation. µPE, = Mean of CO2 emission of households included in the project sample group. nbl = Total number of households included in the project sample group. z = Standard normal for a confidence level of 95% (1.96). Step 1: Calculating Mean of CO2 emission

pj

hPE n

PE∑=µ (D.2.2.2.1.1.1)

Where: µPE = Mean of CO2 emission of households included in the project sample group. PE,h = The amount of CO2 emission in household h included in the project sample group in the

baseline situation. npj = Total number of households included in the project sample group. The PEth,h for emission from thermal energy demand in the pre project situation is calculated as:

( )( )iCOih EFNCVPE 2ypj,i,F ⋅⋅Σ= (D.2.2.2.1.1.2) Where: PE,th,,h,y = Project emissions from fuels used to meet the thermal energy need per household h in year y

(tCO2e/yr). Fi,pj,y = The total amount of fuel i in the project situation (mass or volume) per household in year y. NCVi = The net calorific value (energy content) per mass or volume unit of a fuel i, EFCO2,i = The CO2 emission factor per unit of energy of the fuel i. Step 2: Calculation of σ PE,th The standard deviation of CO2 emission in the project situation is calculated as follows:

( )1

2,

, −

−=∑

bl

thhth

thPE n

PEPE µσ (D.2.2.2.1.1.3)

Where:

σPE,th = Standard deviation of CO2 emission in the project situation µPEth = Mean of CO2 emission of households included in the project sample group(tonnes

CO2/year)


page 40

PEth,h = The amount of CO2 emission in household h included in the project sample group in the baseline situation (tonnes CO2/year)

nbl = Total number of households included in the project sample group = 457

Calculating Project emission from biodigesters Project emissions from biogas digester per household h in year are calculated as:

)1)(1()()( ,,,,, ybiogastoveTyhTyTyhTyrbiodigeste PLEFLCPLEFLCPE −−⋅⋅+⋅⋅= ∑∑ η (D.2.2.2.1.2)

Where: LCT,h,y = Number of animals of livestock category T in year y in household h. EFT = Annual CH4 emission factor for livestock category T, (tCH4 animal-1 yr-1). PL = Physical Leakage of the biodigester in year y (%). ηbiogastove = Combustion efficiency of the most commonly used type of biogas stove. D.2.3. Treatment of leakage in the monitoring plan Not Applicable D.2.3.1. If applicable, please describe the data and information that will be collected in order to monitor leakage effects of the project activity Not Applicable ID number (Please use numbers to ease cross-referencing to table D.3)

Data variable

Source of data Data

unit

Measured (m), calculated (c) or estimated (e)

Recording frequency


How will the data be archived? (electronic/ paper)

Comment

D.2.3.2. Description of formulae used to estimate leakage (for each gas, source, formulae/algorithm, emissions units of CO2 equ.) Not Applicable


page 41

D.2.4. Description of formulae used to estimate emission reductions for the project activity (for each gas, source, formulae/algorithm, emissions units of CO2 equ.) Emission reductions are calculated as follows: ERy = BE - PEy Where: ERy = Emission reduction in total household population in year y (tCO2e/yr) BE = Baseline emissions of total household population (tCO2e/yr) calculated for the first year and are equal 42,721 tonnes CO2/year (see E.4 below) PEy = Project emissions of total household population in year y (tCO2e/yr)


page 42

D.3. Quality control (QC) and quality assurance (QA) procedures are being undertaken for data monitored BSP-Nepal has prepared the BSP-Nepal Quality Control Quality Manual that describes the process and the ISO clauses for the core business quality control. The core business quality control mechanism involves AEPC, BSP-Nepal, Nepal Biogas Promotion Association (NBPA), recognized workshops, recognized biogas companies and biogas owners. Under quality control and quality assurance obligation, BSP-Nepal verifies at least 15% of all installed biogas plants over a period of three years; 5% of this sample will be used for emission reduction assessment and verification. BSP-Nepal has included additional indicators in its standard QA/QC monitoring. The quality control program includes a number of mechanisms through which feedback from end-users is sought and fed into the BSP-Nepal to ensure further optimization of the program. They include: • Quality control monitoring; • After sales service • Independent annual end-user survey; and • Plant verification surveys. After-sales service In order to participate in the program biogas companies are obliged to provide free-after-sales service to the end-users for the first 3 years. This provides end-users with the guarantee that possible construction and material defects in the biogas plant will be repaired. By monitoring the after-sales activities of biogas companies, BSP-Nepal gets direct feedback on the quality of systems delivered, which feed into determining the performance of the biogas companies. Quality control monitoring BSP-Nepal executes an extensive quality control system of biogas digesters to ensure the interests of households. The result obtained form the quality control monitoring is linked to the payment of bonuses/penalties to the participating biogas companies. Through the system that checks numerous indicators to measure the performance of the company, BSP-Nepal ranks these companies from good to bad. This provides an incentive for these companies to improve the performance of their systems. If a company performs poorly, then BSP-Nepal provides additional training to aid the company to improve its service quality and strengthen its business operations. Double Counting Control All biogas plants under this project will be given appropriate geographical reference number according to the district where it will be located and all biogas plants within this project will have unique registration numbers. The BSP will verify all proposed plants to prevent double counting. The GIS coordinates of the sites will also be noted Annual end-user survey Since 1992-1993 end-user satisfaction has been monitored via an annual household survey executed by independent external researchers. Using the findings and recommendations of the study, BSP- Nepal in conjunction with biogas companies undertake new activities or simply improve the existing ones to strengthen the quality of the biogas sector. Plant verification studies Plant verification studies are in-depth studies of a district in which all biogas plants within the district are interviewed to verify their performance, assess user satisfaction and learn from end-use feedback. Local government authorities in collaboration with BSP-Nepal carry out these studies. For emission reduction calculation and verification, BSP-Nepal has included additional indicators in its standard QA/QC monitoring.


page 43

Biogas User’s Survey: Additionally, a Biogas User’s Survey is annually undertaken through an independent third party consultant for evaluating the impacts of biogas installed. The survey is part of monitoring and evaluation activities of AEPC in coordination with BSP-Nepal and has included additional monitoring parameters necessary for the purpose of monitoring emission reductions. Performance Monitoring – Under the CDM, only emission reductions that are monitored and verified can be claimed. Only those biogas households that are operating are counted toward emission reduction calculation by using the performance rate of the installed biogas plants. Through a sample survey, the number of systems out of order are determined and the performance ratio is calculated by taking the percentage of the installed biogas digesters under BSP-Nepal that are still operating. BSP-Nepal itself or through an independent third party also occasionally verify the performance of the installed plants whenever it feels necessary for cross-checking purpose. The past performance monitoring data shows 96% performance ratio. The same program is proposed to be implemented in this project. Table D.3.1: QA/QC procedures for monitored data Data (Indicate table and ID number e.g. 3.-1.; 3.2.)

Uncertainty level of data (High/Medium/Low)

Explain QA/QC procedures planned for these data, or why such procedures are not necessary.

1. Sales Registration

Low Data will be aggregated monthly and yearly a part of ISO Verification for quality control and assurance

2. Sales Monitoring Low Data will be aggregated monthly and yearly a part of ISO Verification for quality control and assurance

3. Performance Monitoring

Low For first 3-years of the installation, data is collected as part of ISO Monitoring and Verification for quality control and assurance and beyond 3-years, as part of the Annual Users’ Survey BSP-Nepal

D.4. Please describe the operational and management structure that the project operator will implement in order to monitor emission reductions and any leakage effects, generated by the project activity Project Implementation WWF Nepal Program is responsible for overall implementation of the proposed project activity. Details are as follows: • WWF Nepal Programwill release subsidy to plant owners as per the standard government subsidy rates through

the biogas companies that install the biogas plant form the field office of WWF-Nepal after approval from AEPC. • WWFNepal Program shall provide timely and necessary funding for program management and technical

assistance to BSP-Nepal and AEPC. • WWF Nepal Program shall raise awareness of the benefits of biogas in its working areas, and provide other

support e.g. subsidy for toilet construction, credit fund for biogas plant owners Execution of the Monitoring Plan BSP- Nepal as an intermediary will manage the implementation of the monitoring plans including quality control and assurance. These include:


page 44

• BSP-Nepal will carry out control quality and monitoring of the biogas plants in the field; • BSP-Nepal will qualify biogas companies for construction and after-sales service of biogas plants according to

the BSP modality, including for provision of after-sales service and guarantee; • BSP-Nepal will undertake subsidy appraisal and manage the database and do timely reporting; • BSP-Nepal will recommend payment of subsidy to AEPC or WWF Nepal Program; • BSP-Nepal will maintain a separate database of the WWF Nepal Program funded Gold Standard VER Biogas

Project; • BSP-Nepal will prepare separate monitoring reports for the WWF Nepal Program funded Gold Standard VER

Biogas Project. Technical Capacity and Training: BSP-Nepal is responsible to ensure that the required capacity and internal training is provided to its operational staff to implement the Monitoring Plan. Furthermore to ensure quality control, BSP-Nepal will also provide training to biogas company staff and biogas users as per the standard modality of BSP Nepal. D.5 Name of person/entity determining the monitoring methodology: The monitoring plan has been developed by Winrock International Nepal, a backstopping organization for preparation of GS VER documentation and capacity building in the micro finance related activities. Contact Person: Mr. Bibek Chapagain Acting Director Winrock International Nepal 1103/68 Devkota Marga, Baneswhor P.O Box 1312, Kathmandu, Nepal Tel: 977-1-4467087 Fax: 977-1-4476109 [email protected]


page 45

SECTION E. Estimation of GHG emissions by sources The project implementation and determination of emission reductions involves the following steps: Step 1: Determination of the project area: The details on the project area are presented in Section A.4. The 7,500 biogas plants under the proposed project will be installed in 38 Village Development Committees37 (VDCs) of 9 districts including two villages and one municipality. Step 2: Establishment of a project activity implementation plan A project activity implementation plan which specifies how the project is implemented should be established and documented in the PDD, including, inter alia, information on: • The type of biodigesters that are distributed or sold by the project coordinator, including information on the

various manufacturers and the capacity of the digesters • The technical information on the technology is provided in Sections A.4.3.

• The number of biodigesters by type that are planned to be distributed by the project activity in each project area

i.e over the duration of the crediting period • The number, size etc of the planned biodigesters in provided in Section B.1.1. However, number

and size of the plants per area will vary depending on demand and subsidy available. • Which households are eligible to participate in the project activity (e.g. households with a certain income, etc?

• The biogas plants considered under this project activity will provide biogas for the thermal energy needs of households which have at least 2 heads of cattle (cow or buffalo).

• The local level Community Forest Users Group (CFUG) will screen and select households for biogas soft loans through a general assembly in the respective project areas and recommend the households to the local Micro finance Institutions (MFI). The local MFIs will further recommend the names to the Community Forest Coordination Committee (CFCC) for the disimbursement of funds. The CFCC will then disimburse funds to the respective MFIs. The MFIs will then sign a loan agreement with the biogas beneficiaries at an interest of 8%. The CFUG remains as the guarantor for the loan amount between the MFI and the beneficiary.

• How the biodigesters will be distributed or sold to household consumers, including a description of all measures employed under the project and a description how final consumers are motivated to participate in the project? The households in the project areas will be selected by the general assembly of the CFUGs. WWF Nepal Program will provide the seed grants to the CFCCs to be provided as soft loans to the beneficiaries constructing the biogas plants. AEPC/BSP Nepal approved companies will follow on the constructions of the plants. Once the plant is installed the subsidy amount will be released by AEPC on the recommendation of BSP Nepal. AEPC and WWF Nepal Program will be responsible promoting biogas plants through various awareness programs and additional government subsidies like pro-poor subsidies and low penetration district subsidies.

• The detailed financial model at household level for biodigester installation is described in Section B.3., page 13 of this document.

37 Nepal is divided administratively into 5 development regions, 14 zones, 75 districts and 3,995 Village Development Committees. There are 53 municipalities in the country.


page 46

• How households included in the sample groups will be selected randomly in a statistically representative manner?

• The details on the sample group and its selection are provided in Annex 2 of this report. Step 3: Determination of the size of the sample group The sample survey38 was carried out in 39739 households to determine the total amount and type of fuel to meet the thermal demand of the surveyed households in the baseline situation. . Step 4: Selection of the households to be included in the project sample group Details of the determination/ selection of the households to be included in the sample survey used are presented in Annex 2.2. Step 5: Establishment of a project database The project data base is available with project proponent and includes: • A list of all project areas, including the name or number of the project area and the GPS data to delineate the

area; • A list of the households that are taking part in the project sampling group, including information to identify the

household (name, GPS coordinates, applicable project area i); • For each household, information on when the biodigester has been implemented • For each household that is selected for either the baseline or project sample a separate database needs to be

made for the questionnaire results. Step 6: Collect baseline questionnaire A baseline questionnaire was developed (see Annex 2.3) and information is been collected before the implementation of the biodigesters from the households of the sample group. Step 7: Collect project questionnaire A project monitoring questionnaire will be collected at the end of each monitoring period from the sample group. Step 8: Calculation of the mean and standard deviation of project and baseline emissions After collecting the questionnaires from all households included in the baseline and project sample group, the mean and standard deviation of household project fuel consumption during the monitoring interval y (the time period between two spot checks) should be calculated as explained in section 4 and 5. Baseline emissions are calculated only in the first year for the sample group. Step 9: Calculation of fuel consumption and emission reductions 38 Details of the determination of the size, selection of the households to be included in the sample survey and questionnaire used are presented in Annex 2.2 and Annex 2.3 respectively 39 The database of the 397 households is presented in Annex 2.4


page 47

Project fuel consumption is calculated based on the sampling results and adjusted with the statistical margin of error at a 95% confidence level. The fuel savings as a result of the project are calculated as the difference of the mean household fuel consumption for the baseline and project situation multiplied with the total number of households participating in the project. Emission reductions are then calculated as follows: ERy = BE - PEy Where: ERy = Emission reduction in total household population in year y (tCO2e/yr) BE = Baseline emissions of total household population (tCO2e/yr) PEy = Project emissions of total household population in year y (tCO2e/yr) E.1. Estimate of GHG emissions by sources: The project emissions involve emission from household fuel consumption after installation of the biodigester and emission from the biodigester as specified in Formula E.1.1.

yhrbiodigesteyhthhy PEPEPE ,,,,, += (E.1.1) Where: PE,y,,h = Project emissions per household h in year y (tonnesCO2e/year) PE,th,,h,y = Project emissions from fuels used to meet the thermal energy need per household h in year y

(tonnesCO2/year). PE,biodigester,,h, y= Project emission from the biodigester per household h in year y (tonnesCO2e/yr). Calculating project emissions from fuels used The total CO2 emission from fuel used to meet the thermal demand in the project situation can be calculated as follows:

⎟⎟

⎠

⎞

⎜⎜

⎝

⎛⋅+=

pj

PEPEyhh n

znPEσ

µ, (E.1.2)

Where: PEth,h,y = The total amount of CO2 emission in the project situation. nhh,y = Total number of households participating in the program for the monitoring interval y. σPE, = Standard deviation of CO2 emission in the project situation. µPE, = Mean of CO2 emission of households included in the project sample group. nbl = Total number of households included in the project sample group. z = Standard normal for a confidence level of 95% (1.96).


page 48

Step 1: Calculating Mean of CO2 emission

pj

hPE n

PE∑=µ (E.1.3)

Where: µPE = Mean of CO2 emission of households included in the project sample group. PE,h = The amount of CO2 emission in household h included in the project sample group in the project

situation. npj = Total number of households included in the project sample group. The PEth,h for emission from thermal energy demand in the pre project situation is calculated as:

( )( )iCOih EFNCVPE 2ypj,i,F ⋅⋅Σ= (E.1.4) Where: PE,th,,h,y = Project emissions from fuels used to meet the thermal energy need per household h in year y

(tCO2e/yr). Fi,pj,y = The total amount of fuel i in the project situation (mass or volume) per household in year y. NCVi = The net calorific value (energy content) per mass or volume unit of a fuel i, EFCO2,i = The CO2 emission factor per unit of energy of the fuel i. Project emissions are calculated only for fire wood (see explanation in Section E.4). The project emissions are determined from fossil fuel and non-renewable biomass use in the baseline situation. The methodology and related calculations are described in Annex 2.1. The NRB is calculated as 87%. All calculation presented below are adjusted to the share of the non-renewable biomass. The applied methodology requires survey of the statistically significant sampling group to estimate project activity emissions factors. For this case, the results from BSP/Nepal Quality and Monitoring Survey40 for the period from January 1, 2007 to July 16, 2007 were used. The quality survey was done among 848 households following biogas installations. Among 848 households, 321 households represented hilly areas, 7 households’ remote hilly areas and remaining 520 households were the residents of the Terai region. For this project, data on firewood consumption of the Terai region was applied. Among surveyed 520 Terai households, 457 households were found to continue to use the firewood after biogas installation. Using Formula E.1.2 the project emissions (PEh) used to meet the thermal energy need of one household41 based on the above mentioned sample survey is calculated. The following values for fuel wood were assumed:

40 This survey was conducted by BSP-N as part of the monitoring activities of the CDM Biogas Support Programme of Nepal Activity 1 41The data base on each household’s energy use and other information is available with the project proponent.


page 49

NCVw42 = 0.0156- The net calorific value (energy content) per mass or volume unit of wood (TJ/tonnes) EFCO2w43 = 112,000 - The CO2 emission factor per unit of energy of the firewood (kgCO2/TJ) The total amount of the project emission for all households in calculated as: ∑ hPE = 480.84 tonnesCO2e/year Then, using the formula E 1.3, the µPE (mean of CO2 emission of households included in the project sample group) is calculated and is equal to:

45784.480

== ∑bl

h

nPE

PEµ = 1.052 (tonnesCO2/year)

Step 2: Calculation of σ PE,th The standard deviation of CO2 emission in the project situation is calculated as follows:

( )1

2,

, −

−=∑

bl

thhth

thPE n

PEPE µσ (E.1.5)

Where:

σPE,th = Standard deviation of CO2 emission in the project situation µPEth = Mean of CO2 emission of households included in the project sample group(tonnes

CO2/year) PEth,h = The amount of CO2 emission in household h included in the project sample group in the

baseline situation (tonnes CO2/year) nbl = Total number of households included in the project sample group = 457

According to the calculation:

2

, )( thhth PEPE µ−∑ = 2,357 (tonnesCO2e/yr) Then the standard deviation of CO2 emission in the baseline situation is calculated as:

1457357,2

, −=thBEσ = 2.274

Step 4: Calculation of the total CO2 emission in the project situation

42 2006 IPCC Guidelines, Volume 2, Table 1.2 43 2006 IPCC Guidelines, Volume 2, Table 1.4


page 50

Formula E.1.2 is used for calculation.

⎟⎟⎠

⎞⎜⎜⎝

⎛−=⎟

⎟⎠

⎞⎜⎜⎝

⎛⋅−=

457274.296.1052.1500,7,

bl

PEpEyhhth n

znPEσ

µ ≈ 6.328 (tonnesCO2e/yr)

Calculating Project emission from biodigesters Project emissions from biogas digester per household h in year are calculated as:

)1)(1()()( ,,,,, ybiogastoveTyhTyTyhTyrbiodigeste PLEFLCPLEFLCPE −−⋅⋅+⋅⋅= ∑∑ η (E.1.6) Where: LCT,h,y = Number of animals of livestock category T in year y in household h. EFT = Annual CH4 emission factor for livestock category T, (tCH4 animal-1 yr-1). PL = Physical Leakage of the biodigester in year y (%). ηbiogastove = Combustion efficiency of the most commonly used type of biogas stove. The following numbers were applied: LCT,h,y = 2. EFcow (fbuffalo)44 = 5 kgCH4 animal-1 year-1

PL45 = 10% ηbiogastove46 = 43.8%. Project emission from one biogas digester is then calculated as:

=−−+= %)101%)(80.431(*)5*2(%10*)5*2(, yrbiodigestePE 6.085 kgCH4/year/digester = 0.006085 tonnesCH4/year/digester Total project emissions from 7,5000 biogas digesters are then calculated as:

=== 21*500,7*006085.0*500,7*0061.0 4CHrbiodigeste GWPPE 954.135 (tonnesCO2e/year) 44 2006 IPCC Guidelines, Volume 4, Table 10.14 45 2006 IPCC Guideline 46 The efficiency of biogas stove calculated as per adopted methodology mentioned above is found to be 49.44 percent, 43.8 percent and 32.26 percent for perfectly controlled, semi-controlled and uncontrolled conditions respectively. Source: CES/IOE. A Study Report on Efficiency Measurement of Biogas, Kerosene and LPG Stoves. Biogas Support Programme, July 2001. 20p. BSP Lib Temp No. 71, pp 2.

http://www.bspnepal.org.np/pdfs/cse_50.pdf


page 51

Where, GWP (CH4) = 21 is the global warning potential of CH4 (tonnes CO2/tonnes CH4) Total project emissions: Total project emissions are then calculated as:

=+= rsbiodigestehhthhh PEPEPE , 6,328+ 954.14 ≈ 7,282 (tonnesCO2e/year) E.2. Estimated leakage: No significant sources of leakage are identified.

0=leakPE E.3. The sum of E.1 and E.2 representing the project activity emissions: The project activity emissions:

=+= leakhh PEPEPE 7,282 + 0 =7,282 tonnesCO2e/year E.4. Estimated anthropogenic emissions by sources of greenhouse gases of the baseline: The total baseline emissions are calculated as the sum of total CO2 emission in the pre-project situation and baseline emissions from animal waste handling as:

awth BEBEBE += (E.4.1)

Where:

BE = Total baseline emissions in the pre-project situation (tonnesCO2/year) BEth, = Baseline emissions from fuel consumption for thermal energy needs of households (tonnesCO2/year) BEaw = Baseline emissions from animal waste handling of households (tonnesCO2/year)

Calculation of Fuel Consumption Emissions (BEth) The baseline emissions from the thermal use are determined from fossil fuel and non-renewable biomass use in the baseline situation. The methodology and related calculations are described in Annex 2.1. The NRB is calculated as 87%. All calculations presented below are adjusted to the share of the non-renewable biomass. The total CO2 emission in the pre-project situation was calculated using the formula below:

⎟⎟⎠

⎞⎜⎜⎝

⎛⋅−=

bl

BEBEyhh n

znBEσ

µ, (E.4.2)


page 52

Where:

BE = The total amount of CO2 emission in the pre-project situation (tonnes CO2/year) nhh,y = Total number of households participating in the program for the monitoring interval y. In this

project y = 7,500 σBE = Standard deviation of CO2 emission in the baseline situation µBE = Mean of CO2 emission of households included in the baseline sample group (tonnes

CO2/year) nbl = Total number of households included in the baseline sample group z = Standard normal for a confidence level of 95% (1.96)

The details of the calculations are presented in Section B.5 The total amount of CO2 emission in the pre-project situation due to the fuel consumptions is:

thBE ≈ 35,495 (tonnesCO2e/yr) Calculation of BEaw,

The baseline emissions from handling of animal waste are calculated using IPCC TIER 1 approach of 2006 IPCC Guidelines for National Greenhouse Gas Inventories. The justifications for using this approach are presented in Section B. The following formula is used:

aiawkSTThaw NEFMSBE *)( ,,,1,, ⋅Σ= (E.4.3) Where:

BEaw,h,,,T1= the baseline emission from handling of animal waste in year y for household h (kgCH4/year) MST,,h,k = fraction of livestock category T's manure treated in the animal waste management system, in

climate region k, dimensionless EFT,,aw,i = the animal waste methane emission factor by average ambient temperature in kgCH4animal-1yr-1 for

livestock category T Na = Average number of animals per household

The baseline emissions from handling of animal waste for one household are then calculated as: The total baseline emissions from handling of animal waste by the 7,500 project participants in units of CO2 equivalent is:

906,1=awBE tonnes CO2e/year Total Baseline Emissions

awth BEBEBE += = 35,495 +1,906 =37,401 tonnes CO2e/year


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E.5. Difference between E.4 and E.3 representing the emission reductions of the project activity:

=−= PEBEER 37,401 – 7,282 = 30,119 tonnes CO2e/year E.6. Table providing values obtained when applying formulae above:

Table E.6: Emission Reduction Values Year Estimation of project

activity emission reductions (tonnes CO2 e)

Estimation of baseline emission reduction

(tonnes CO2 e)

Estimation of leakage (tonnes CO2 e)

Estimation of emission reductions

(tonnes CO2 e) 2007 555 2,849 0 2,294 2008 1,665 8,552 0 6,887 2009 3,163 16,243 0 13,081 2010 5,584 28,680 0 23,096 2011 7,064 36,279 0 29,216 2012 7,064 36,279 0 29,216 2013 7,064 36,279 0 29,216 2014 3,532 18,140 0 14,608

Total 35,689 183,301 147,613 The numbers includes only those ERs that will generated during the operation life of the biogas plants assuming the performance rate of Biogas Plants as 97%, with the cumulative operational 7,275 plants (see below) at the end of the crediting period.

Years New Plants Cumulative Number of Operational Plants

2007 1,178 1,143 2008 1,180 2,287 2009 2,000 4,227 2010 3,142 7,275 2011 7,275 2012 7,275 2013 7,275 2014 7,275

SECTION F. Environmental impacts F.1. Documentation on the analysis of the environmental impacts, including transboundary impacts: An Environmental Impacts Assessment (EIA) is not required by the Project Host Party, Nepal. Fulfilling the Gold Standard requirements for EIA, the EIA-prescreen checklist was applied in order to assess the nature and scope of any significant environmental impacts identified at the Initial Stakeholder Consultation (refer to Section G) presented below. In case of this project no significant issues were identified at the project initial stake holder consultation session to trigger an EIA.


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1. Will there be a large change in environmental conditions? No 2. Will new features be out-of-scale with the existing environment? No 3. Will the effect be unusual in the area or particularly complex? No 4. Will the effect extend over a large area? No 5. Will there be any potential for transfrontier impact? No 6. Will many people be affected? No 7. Will many receptors of other types (fauna and flora, businesses, facilities) be affected? No 8. Will valuable or scarce features or resources be affected? No 9. Is there a risk that environmental standards will be breached? No 10. Is there a risk that protected sites, areas, features will be affected? No 11. Is there a high probability of the effect occurring? No 12. Will the effect continue for a long time? N/A47 13. Will the effect be permanent rather than temporary? N/A 14. Will the impact be continuous rather than intermittent? N/A 15. If it is intermittent will it be frequent rather than rare? N/A 16. Will the impact be irreversible? N/A 17. Will it be difficult to avoid, or reduce or repair or compensate for the effect? N/A F.2. If environmental impacts are considered significant by the project participants or the host Party, please provide conclusions and all references to support documentation of an environmental impact assessment undertaken in accordance with the procedures as required by the host Party: Not Applicable.

47 No impact was identified therefore these do not apply.


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SECTION G. Stakeholders’ comments G.1. Brief description how comments by local stakeholders have been invited and compiled: Two public consultation sessions were held: an initial stakeholder consultation and a consultation on completion of the PDD. An initial stakeholder consultation: The initial stakeholder consultation for the project was held in Nepalgunj on 20th August, 2007. The workshop started at 10:00 A.M and concluded around 05:00 PM. The program, handouts, and presentations were all in Nepali. The paper on the Gold Standard Biogas VER Project in TAL Areas and its Environmental and Socio-economic Impacts was circulated among the participants. In total 47 participants attended this workshop. They represented government officials from Ministry of Environment, Science and Technology (MoEST), Alternative Energy Promotion Centre (AEPC) and District Forest Offices; representatives from national NGOs such as The Biogas Sector Partnership-Nepal (BSP-Nepal) and Clean Energy Nepal (CEN); various biogas construction companies; people directly impacted by project, members of Community Forest Coordination Committees (CFCC), local policy makers and media representatives. The program was structured into two sessions: morning and evening. The morning session was dedicated to presenting the mission, objectives, targets of the TAL and the WWF Nepal Gold Standard Biogas VER Project. The evening session included the stakeholders' group exercise and discussions to complete the Environmental and Socioeconomic and Health Impacts Checklist. The exercise output discussions were then followed by a closing session to conclude the workshop. A full report of the consultation meeting was compiled and was made available at WWF Nepal Program website within 15 days after consultation for any participants to review and comment. No comments were received. Stakeholders were invited to attend via: • Policy makers, NGOs and interested stakeholders were invited and welcomed to attend or to comment directly

by letters and telephone calls • All local officials and policy makers in the area invited directly by Nepalgunj’ WWF Nepal Program staff. • The Gold Standard NGO Supporters were directly invited and asked to comment. • The WWF Nepal Program distributed the invitation to other NGOs involved in the area. Second consultation The second consultation was held on 9th January 2008. In total about 30 participants attended this workshop. They represented government officials from Ministry of Environment, Science and Technology (MoEST), Alternative Energy Promotion Centre (AEPC) and District Forest Offices; representatives from national NGOs such as The Biogas Sector Partnership-Nepal (BSP-Nepal) and Clean Energy Nepal (CEN); people directly impacted by project, members of Community Forest Coordination Committees (CFCC) and media representatives. The program included two presentations. The first one was dedicated to presenting the mission, objectives, targets of the TAL and the WWF Nepal Gold Standard Biogas VER Project. The second one was a non-technical presentation of the draft PDD document. Both presentations were then followed by the discussion session. Stakeholders were invited to attend via:


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• All relevant government, INGOs, NGOs and interested stakeholders were invited through invitation letters. • Email copies of invitations were also sent to all identified participants A full report of the consultation meeting was compiled and was made available at WWF Nepal Program website within 15 days after consultation for any participants to review and comment. No comments were received. G.2. Summary of the comments received: The initial stakeholder consultation: A diverse range of Nepali policy makers, officials, staff and villagers attended the consultation session, including those from around the area and from the capital. Participants were given full opportunity to ask questions, understand the project and provide feedback on the environmental and social impacts of the projects. All participants were given a social and environmental checklist in Nepali to fill out. Two stakeholder consultations were held under this project. Overall there was a positive perception of local stakeholders towards the project and there was a high level of interest to see the project go ahead successfully. No major environmental, physical or social negative impacts were identifies; as well as sensitive or protective areas. Inputs to environmental and social impacts checklist has been summarized and presented in Table 3 below. According to inputs, the proposed project performance on Environment has in majority no visible impacts (out of ten eight questions were answered as No option), only one negligible impact was identified and the remaining one was classified as a major positive impact on natural resources or ecosystems. Regarding socioeconomic and health impacts, the performance of the project according to participants perception again mostly results in no direct impacts (out of ten five questions were answered as ‘No’ option), with few negligible impacts (three) and other three were identified as major or minor positive impacts. Table G.2.1: Summarized Environmental Social Impacts Checklist Completed by Participants of the Workshop

Environmental impacts Yes/No/? Briefly Describe Is this likely to result in a significant effect? Yes/No/?

1. Will construction, operation or decommissioning of the Project use or affect natural resources or ecosystems, such as land, water, forests, habitats, materials or, especially any resources which are non-renewable or in short supply?

Positive Impact Reduction in fire wood consumption, Compost for farm land, Reduction in Pollution

Major positive impact

2. Will the Project involve use, storage, transport, handling, production or release of substances or materials (including solid waste) which could be harmful to the environment?

No impact No use of any hazardous and toxic substances.

No

3. Will the project release pollutants or any hazardous, toxic or noxious substances to the air?

Yes Release of neglible amount Methane and no harmful effect of it

Negligible impact

4. Will the project cause the noise and vibration or release of light, heat energy or electromagnetic radiation?

No impact Doesn't have any of the mentioned in this type of project

No

5. Will the project lead to risks of contamination of land or water from release of pollutants onto the ground or into surface waters, groundwater, coastal wasters or

No impact

No


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the sea? 6. Are there any areas on or around the location which are protected under international or national or local legislations for their ecological value, which could be affected by the project?

No Impact The small scale of the project

No

7. Are there any other area on or around the location, which are important or sensitive for reasons of their ecology e.g. wetlands, watercourses or other waters bodies, the costal zone, mountains, forests or woodlands, which could be affected by the project?

No impact

No

8. Are there any areas on or around the location which are used by protected important or sensitive species of fauna and flora e.g. for breeding, nesting, foraging, resting, over wintering, migration, which could be affected by the project?

No impact indirect relationship

No

9. Are there any inland, coastal, marine or underground waters on or around the location which could be affected by the project?

No impact Irrelevant question for Nepal due to far from Coastal and Marine area

No

10. Is the project location susceptible to earthquakes, subsidence, landslides, erosion, flooding or extreme or adverse climatic conditions e.g. temperature inversions, fogs, severe winds, which could cause the project to present environmental problems?

No Does not have any problems due to the construction in safe area

No

Socio economic and Health Impacts Yes/No/? Briefly Describe

Is this likely to result in a significant effect? Yes/No/

11. Will the project involve use, storage, transport, handling, production or release of substances or materials (including solid waste) which could be harmful to human health, or raise concerns about actual or perceived risks to human health?

Yes

Negligible impact

12. Will the project releases pollutants or any hazardous, toxic or noxious substances to the air that could adversely affect human health?

Yes Release of Methane

Negligible impact

13. Will the project cause the noise and vibration or release of light, heat energy or electromagnetic radiation that could adversely affect human health?

No impact No

14. Will the project lead to risks of contamination of land or water from release of pollutants onto the ground or into surface waters, groundwater, coastal wasters or the sea that could adversely affect human health?

No impact No

15. Will there be any risk of accidents during construction or operation of the project which could affect human health?

Yes Accidents during project Construction

Negligible impact

16. Will the project result in social changes, for example, in demography, traditional lifestyle, employment?

Yes

Major positive Impact

17. Are there any areas on or around the location, protected or not under international or national or local legislations, which are important to for their landscape, historic, cultural or other value, which could be affected by the project?

Yes, positive impact on conservation

Major positive impact


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18. Are there any transport routes or facilities on or around the location which are used by the public for access to recreation or other facilities and/or are susceptible?

No impact

No

19. Is the project in a location where it is likely to be highly visible to many people?

Yes Can be visible and possibility for replication

Minor positive impact

20. Are there existing or planned land uses on or around the location e.g. homes, gardens, other private property, industry, commerce, recreation, public open space, community facilities, agricultures , forestry, tourism, mining or quarrying which could be affected by the project?

No impact No

21. Are there any areas on or around the locations which are densely populated or built-up, or occupied by sensitive uses e.g. hospitals, schools, places of worship, community facilities, which could be affected by the project?

No impact No

22. Are there any areas on or around the location which contain high important. High quality or scarce resources e.g. groundwater, surface water, forestry, agriculture, tourism and mineral, which could be affected by the project?

No impact No

23. Is the project location susceptible to earthquakes, subsidence, landslides, erosion, flooding or extreme or adverse climatic conditions e.g. temperature inversions, fogs, severe winds, which could cause the project to present socioeconomic problems?

No impact No

Following each group presentation, several questions were raised by the participants. The question and responses by the project proponent and partners are highlighted below. Question: The relevance of earthquake question to this project is not clear. Mr. Santosh Nepal, Director, WWF Nepal Program, Western Regional Office, attended this question, explaining that this checklist was prepared taking in mind the various types of project worldwide. For example, for dam projects the fault line plays an important role in determining the feasibility and eligibility of the project for the Gold Standard. However, as was rightly pointed out, there is no relevance of this question for this type of project. Question: The legal status of Nepal government towards this checklist. Mr. Batu Krishna Upreti, Under Secretary, MoEST, explained that though Nepal government has not officially endorsed The Gold Standard, the checklist has been prepared for global use and is important tool for identifying the socio economic and environment sustainable development criteria. Mrs. Indira Shakya, Board Member, BSP-N, suggested that rephrasing of the words in checklist should be done taking in consideration the context of this project. It will be also useful, she continued, to add a column where mitigation factors could be highlighted. Mr. Saroj Rai, Executive Director, BSP-N, gave additional information on the methane gas impact. According to him, the methane as such is not harmful to humans. However, in large amounts, with minimum oxygen supply anything can be dangerous for living beings. On other hand, the presence of smell of this gas must be considered as positive aspects, since it brings attention to possible leakage.


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Second consultation: The questions of this workshop were mainly related to the issues reaching the marginalized communities and details of the proposed financial model of this project. The concerns were mostly related to CFCC and their capability to mobilize credits. As suggested, CFCC should also enhance their human resources in technical aspects and have linkages with companies and should have clear definitions of their roles. There should be also clear demarcation between AEPC/BSP-N and WWF Nepal Program areas to avoid double subsidy counting.

G.3. Report on how due account was taken of any comments received: The initial stakeholder consultation: As per the floor suggestions the all positive socio economic and ecological impacts such as savings in firewood and kerosene consumptions, air pollution reduction; reduction in incidence of snake bites, health impacts, saving of tree plants per plant etc from biogas plant installation should be subject for detailed analysis and computation. Where applicable, the recent data available at Winrock International Nepal and World Bank should be applied. Second consultation: A study was already conducted jointly by WWF Nepal Program Winrock to explore the various options for providing loans for biogas installation. Few of the recommendations were to mobilize cooperatives if they are working in the program area; work with CFCC after developing clear lending procedures and guidelines; mainstream the biogas lending with other lending program if any. According to this study, the program will mobilize cooperatives in all possible areas. Likewise, CFCC capacity assessment is already initiated by WWF. It was found that in average CFCC is presently controlling the amount from US$ 24,000 to 40,000. In average it is involved in 30 various activities, biogas promotion among them. CFCC weaknesses and strengths will be further analyzed, and the gap will be filled accordingly. Summary The overall perception of the participants in the abovementioned two consultation sessions about the social economical and environmental benefits of the biogas plants was positive, with no perceived negative social impacts at either household or community level. The process of continuous consultation with all concerned stakeholders is considered as an effective tool to overcome other minor comments and suggestions.


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Annex 1: CONTACT INFORMATION ON PARTICIPANTS IN THE PROJECT ACTIVITY

Organization: WWF Nepal Program Street/P.O.Box: P.O Box: 7660 Building: N.A City: Kathmandu State/Region: Kathmandu District Postfix/ZIP: N.A. Country: Nepal Telephone: + 977-1-4434820 FAX: + 977-1-4438458 E-Mail: [email protected] URL: www.wwfnepal.org Represented by: Title: Country Representative Salutation: Mr. Last Name: Manandhar Middle Name: N.A First Name: Anil Department: WWF Nepal Program Mobile: 9851034871 Direct FAX: N.A Direct tel: N.A Personal E-Mail: [email protected] Organization: Biogas Sector Partnership (BSP)- Nepal Street/P.O.Box: P.O Box: 9751 Building: N.A City: Kathmandu State/Region: Kathmandu District Postfix/ZIP: N.A. Country: Nepal Telephone: + 977-1-5529840/5524665 FAX: + 977-1-5524755 E-Mail: [email protected] URL: www.bspnepal.org.np Represented by: Title: Executive Director Salutation: Mr. Last Name: Rai Middle Name: N.A First Name: Saroj Department: N.A. Mobile: 9851036750 Direct FAX: N.A

N.A


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Direct tel: Personal E-Mail: [email protected]

Organization: Government of Nepal, Ministry of Environment, Science and Technology (MoEST), Alternative Energy Promotion Centre

Street/P.O.Box: P.O Box: 6332 Building: N.A City: Kathmandu State/Region: Kathmandu District Postfix/ZIP: N.A. Country: Nepal Telephone: + 977-1-5539390/5539391 FAX: + 977-1-5539392 E-Mail: [email protected] URL: www.aepcnepal.org.np Represented by: Title: Executive Director Salutation: Dr. Last Name: Pokhrel Middle Name: Raj First Name: Govinda Department: N.A. Mobile: 9851105021 Direct FAX: N.A Direct tel: N.A Personal E-Mail: [email protected]


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Annex 2: BASELINE INFORMATION Annex 2.1 ADJUSTMENT OF BASELINE EMISSIONS FOR THE SHARE OF NON-RENEWABLE BIOMASS The determination of the baseline emissions from biomass consumption requires the determination of the share of non-renewable biomass (NRB) in the baseline. For the definition of NRB, the Executive Board decision EB 23 Annex 18 is followed. From the inversion of EB23 decision it follows that biomass is NRB if:

1) In the project area the consumption of wood exceeds the renewable wood production; or 2) Fuel wood consumption by households constitutes a significant share of total wood consumption.

Project proponents must demonstrate that the biomass used in the baseline is indeed non-renewable, by using the following steps48: Step 1: identify a “woody biomass production area” (area) which should be the larger of the following two areas: a)

all forests and woodlands from which the project participants derive their wood fuel in the baseline, b) all forests and woodlands from which project participants could realistically obtain biomass, given means of transport, accessability and daily time available for transporting biomass.

Step 2: For the area estimated in step 1, estimate the average annual wood fuel increment (I) which could be harvested, consistent with the definition of “renewable biomass”. For this purpose, tools like satellite data, regional statistics, regional or IPCC allometric equations to estimate the above ground biomass increment etc. may be used.

Step 3: Estimate the average harvest of wood fuels derived from this area (H) Step 4: Calculate the shortage of woody biomass in the area: S = H – I. Step 5: Demonstrate that the amount of woody biomass used in the project baseline, at time zero, is less than S. If

this is not the case, set the amount of woody biomass that can be included in the baseline to S. Figure 2: overview of the definitions.

48 Based on submission of Bernard Schlamadinger to the UNFCCC


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Where: A Area from which woody biomass is produced (the larger of the following two areas: a) all

forests and woodlands from which the project participants derive their wood fuel in the baseline, b) all forests and woodlands from which project participants could realistically obtain biomass, given means of transport, accessibility, and daily time available for transporting biomass).

I Annual biomass increment (tons/year) on area A H Annual biomass harvest (tons/year) on area A S Net shortage of wood on area A, which is considered non-renewable The share of non-renewable biomass can now be calculated according to:

HSS NRB = (6)

Where: SNRB = Share of non-renewable biomass S = Non renewable biomass harvest (tons/year) on the project areai. H = Annual biomass harvest (tons/year) on the project areai.

The amount of non-renewable biomass displaced can now be calculated according to:

yBioNRByNRB FSF ,, ⋅= (7) Where:

FNRB,y,h = the amount of non renewable biomass in year y in household h SNRB = the share of non-renewable biomass obtained from the total project areai Fbio,y = the amount of baseline biomass consumption in household h

That a share of the biomass was non-renewable, it has to be assumed that all biomass applied in the baseline is renewable, i.e. no baseline emission can be accounted to biomass consumption.


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Table Annex.2.1.1: Application of the Above Methodology to the proposed project Activity Quantity Unit Remarks

Step 1: Identification of Woody Biomass Production Area Woody Biomass Forest Area A 59,708

ha The area has been caluculated based on assumption thet

reallictically the project participants can obtain biomass max up to 2 km radius around their settlements. Methodology for the area calculations and numbers are described below49. The results of the area for 9 districts is presented in Table Annex 2.1.2 ; WWF Nepal Program, TAL project, LANDSAT TM, 2001.

Step 2: Annual Wood Increment Mean Annual Increment B 1.2 m3/ha/year The average annual increment of the government managed

forests in Nepal is 1.2 m3/ha/year See Annex 2.1.3

Annual Increment C=B*A 71,650 m3/year Density of fuel wood D 0.87 tonnes/m3 Density of fuel food for Terai is 0.87 Source: Forest

Resources of Nepal (1987-1998) Average annual wood fuel increment I = C*D 62,335 tonnes/per year Step 3: The average harvest of wood fuels from area A Average number of households residing in Area A J 122,351 households The population of 69 VDCs including 41 affected VDCs has

been considered. See Table Annex 2.1.4 below. Source : WWF Nepal Program and VDC Profiles, Census 2001, NIDI

Timber and Industrial Consumption per household K 0.58782 tonnes/year/household

Source: Master Plan for the Forestry Sector Nepal; Volume: forest Development Plan for the Supply of Main Forests Products (1987-1998); Derived from Projected Timber

49 Methodology for the woody biomass area calculations:

• 41 VDCs of 9 districts under this project were considered; all VDCs lie in Terai region • Selection of at least three sites/cluster settlements in each VDC based on the spatial representations and the density of the settlement • Buffer zone of 249km radius was drawn for each selected settlement from the accessibility point of view • The forest area within this radius was considered including forest area of overlapped VDCs • The Protected Areas forest area was excluded • The details on areas, maps etc, are available with the project proponent


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Consumption for Terai data (See Table Annex 2.1.5) adjusted to population data (see Table Annex 2.1.6) in terms of households

Household wood consumption L 3.32 tonnes/year/household

Sample Survey, 2007

Total Timber and Industrial Harvest M=K*J 71,920 tonnes/year Sample Survey, 2007 Total fuel wood consumption N=L*J 406,337 tonnes/year Total Harvest of wood from area A H= M+N 478,257 tonnes/year Step 4: The shortage of woody biomass in the area S Shortage of woody biomass (non- renewable biomass) S=H-I 415,922 tonnes/year Step 5: The amount of woody biomass in the project Number of Households G 7,500 households Average Fuel Wood Consumption per household J 3.32 tonnes/year/house

hold Sample Survey,2007

The amount of woody biomass in the project O=G*J 24,908 tonnes/ year The share of non-renewable biomass is:

= 0.87% The amount of non-renewable biomass displaced can now be calculated according to:

ybioyBioNRByNRB FFSF ,,, *87.0=⋅= Where: FNRB,y,h = the amount of non renewable biomass in year y in household h SNRB = the share of non-renewable biomass obtained from the total project areai Fbio,y = the amount of baseline biomass consumption in household h

HSSNRB =


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The Sensitivity Analysis


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TABLE ANNEX 2.1.2 VER Area Data

S.N. District Area (ha) 1. Kanchanpur 12,122

2. Kailali 16,313 3. Bardia 5,961 4. Banke 5,052 5. Dang 4,371 6. Palpa 3,158 7. Chitwan 1,095 8. Parsa 2,947 9. Makwanpur 8,689

Total 59,708


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ANNEX 2.1.3


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Table Annex 2.1.4

S.N. DISTRICT VDC_NAME

Number of Households

% of access to forest area

Number of Households having access

64 Arghakhanchi Juluke 985 40% 394 63 Banke Kamdi 1,479 40% 592 62 Banke Kanchanapur 1,313 40% 525 61 1 Banke Mahadevpuri 1,269 100% 1,269 60 Banke Kohalpur 3,876 40% 1,550 59 Bardiya GulariyaN.P. 7,939 20% 1,588 58 Bardiya Sanashree 2,973 40% 1,189 57 2 Bardiya Dhodhari 1,381 100% 1,381 56 Bardiya Baniyabhar 1,909 40% 764 55 3 Bardiya Suryapatawa 1,234 100% 1,234 54 4 Bardiya Baganaha 1,645 100% 1,645 53 5 Bardiya Thakudwara 1,220 100% 1,220 52 6 Bardiya Sivapur 988 100% 988 51 7 Bardiya Neulapur 1,756 100% 1,756 50 Chitawan Bachhyauli 1,872 40% 749 49 Chitawan Jutpani 2,557 40% 1,023 48 Chitawan Shaktikhor 1,378 40% 551 47 8 Dang Lalmatiya 2,899 100% 2,899 46 9 Dang Chaulahi 2,740 100% 2,740 45 10 Dang Sisahaniya 2,356 100% 2,356 44 11 Dang Sonpur 1,793 100% 1,793 43 Dang Satbariya 1,816 40% 726 42 12 Kailali Lalbojhi 1,940 100% 1,940 41 13 Kailali Bhajani 1,635 100% 1,635 40 14 Kailali Ratnapur 822 100% 822 39 15 Kailali Pawera 769 100% 769 38 16 Kailali Khailad 1,365 100% 1,365 37 17 Kailali Hasuliya 1,880 100% 1,880 36 18 Kailali Basauti 802 100% 802 35 Kailali Darakh 1,694 40% 678 34 Kailali Gadariya 1,162 40% 465 33 19 Kailali Udasipur 967 100% 967 32 20 Kailali Pahalmanpur 1,707 100% 1,707 31 21 Kailali DhangadhiN.P. 11,738 100% 11,738 30 Kailali Sadepani 2,592 40% 1,037 29 Kailali Urma 1,387 40% 555 28 22 Kailali Geta 1,903 100% 1,903 27 23 Kailali Masuriya 2,398 100% 2,398 26 24 Kailali RamsikharJhala 1,824 100% 1,824 25 Kailali Sreepur 2,305 40% 922 24 Kailali Malakheti 2,532 40% 1,013 23 25 Kanchanpur BaisiBichawa 1,826 100% 1,826 22 26 Kanchanpur Shankarpur 761 100% 761


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21 27 Kanchanpur RaikawarBichawa 1,934 100% 1,934 20 Kanchanpur Dekhatbhuli 2,628 40% 1,051 19 28 Kanchanpur Pipaladi 3,162 100% 3,162 18 29 Kanchanpur Krishnapur 4,056 100% 4,056 17 30 Kanchanpur Jhalari 2,717 100% 2,717 16 31 Kanchanpur Suda 2,909 100% 2,909 15 32 Kanchanpur Daijee 3,712 100% 3,712 14 Kanchanpur MahendranagarN.P. 13,738 40% 5,495 13 Makwanpur Churiyamai 2,344 40% 938 12 33 Makwanpur PadamPokhari 2,833 100% 2,833 11 Makwanpur HetaudaN.P. 14,271 40% 5,708 10 34 Makwanpur Handikhola 3,155 100% 3,155 9 Makwanpur Basamadi 2,545 40% 1,018 8 35,

36 Makwanpur Manahari 2,620 40% 1,048

7 Nawalparasi Agryouli 2,077 40% 831 6 Nawalparasi Deurali 2,167 40% 867 5 37 Palpa Dobhan 1,226 100% 1,226 4 Palpa Kachal 564 40% 226 3 38 Parsa Nirmalbasti 1,856 100% 1,856 2 Parsa Thori 1,265 40% 506 1 Rupandehi ButawalN.P. 16,281 20% 3,256 0 39 Bardia Motipur 3,146 100% 3,146

0.1 Ramouli Rautahat 829 40% 332 0.2 Pratappur Rautahat 1,056 40% 422 0.3 40 Chitwan Padampur 2,137 100% 2,137 0.4 41 Chitwan Bichouli 1,872 100% 1,872

Total 122,351


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Table Annex 2.1.5: Projected Timber Consumption

Table Annex 2.1.6: Population Projection


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Table Annex 2.1.7: Industrial fuelwood Consumption

Table Annex 2.1.8: Calculation of the Total Harvest

Avarege household size: 5.44

Population

Zone/Region 2005-06 2010-2011 Middle Mountains 1,965,257 2,049,632


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Siwaliks 418,382 456,618 Terai 2,043,934 2,247,059

Projected Timber Consumption (m3) per household Zone/Region 2005-06 2010-2011

Middle Mountains 0.61977 0.6562 Siwaliks 0.61905 0.6570

Terai 0.61988 0.6560 Projected Industrial Consumption (m3) per household

Zone/Region 2005-06 2010-2011 Middle Mountains 0.05612 0.04957

Siwaliks 0.05617 0.04949 Terai 0.05577 0.04940

Projected Timber and Industrial Consumption (tonnes) per household

Zone/Region 2005-2006

Region terai Timber 0.53930

Industrial 0.04852 Total 0.58782


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ANNEX 2.1.9

ANNEX 2.2: DETAILS ON SAMPLE SURVEY Sample survey households' selection: The adopted sampling design methodology was based on stratified multi stage sampling technique. The required minimum sample size for this study was estimated using the following formula:

2α /2

2

z p (1 -p )n δ×

=Where

n - a minimum sample size /2Zα - 1.96 ≈ 2 at 95% confidence level


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p - proportion of livestock holdings in project area (50% predicted) as target population. δ - is margin of error to be tolerated, set at 5% The estimated minimum sample size is 400 households. The Primary sample units (PSUs) were considered as VDCs/Municipality. 10 PSUs randomly selected in such a way that at least one VDC would be included from a district and rest of the VDCs are selected using Probability Proportional to Size (PPS) selection method from their corresponding strata. The frame used for the survey was the list of VDC/wards with corresponding number of households and type of energy sources used for cooking from Population Census 2001. Then two wards were selected by random selection procedure from each selected PSU. In each selected ward, a list of all households was prepared. The households were then classified into three categories according to whether the household had livestock (at least one cattle or buffalo), had no livestock and or was already a biogas user. Only those households having livestock but not having biogas users were taken into consideration. The households were arranged according to number of persons in the household as in ascending order. The required 20 households were then selected from the list by using systematic sampling scheme for the interview. In other words, the distribution of sample sizes was 10 VDCs x 2 wards x 20 households = 400 households. The sampled households are of different income status, culture, profession and so on. Sample survey tools: A specific household questionnaire (see below) was prepared as a tool for collecting the information on social status, energy use, education etc. The questionnaire was in Nepali. The draft questionnaire was tested on 20 households; after which some minor modifications were introduced. A special orientation session was also organized by the project proponent for enumerators to familiarise them with final questionnaire main items, the main conversion factors etc. In total 15 enumerators were engaged in the sample survey. Outputs of the survey The SPSS software was used to compute and analyse all relevant information. The complete sample survey database is available with the project proponent.


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Annex 2.3: GS-Biogas VER Project: Household Questionnaire Form

Name of Interviewer: _________________ Date: _____/_____/______ District Name: VDC Name:_________________ Ward No: 100. General Information 101. Name of Household head: 102. Sex: Male � Female � 103. Ethnicity: Code: 1 Dalit, 2 Indigenous, 3 Others (Brahmin, Chetri, Newar etc) 104. Religion: Code : 1 Hindu, 2 Muslim, 3 Bauddha, 4 Christian, 5 Others 105. Name of the Respondent: 106. Sex: 107. Age: 108. Details on Family members Total Number of Family Members: _____________ Total Female Members: _______ Total Male Members: _______

Occupation SN Age Yrs.

Sex Education Primary Secondary

1. 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Code Sex: Male 1, Female 2 Education: Illiterate 1, Literate 2, Primary 3, Secondary 4, SLC 5, IA and above 6 Occupation: Agriculture 1, Business 2, Job 3, Dependant 4, Unemployed 5 Foreign Employment 200. Economic Conditions 201. Land ownership

Type of land Tenure type Unit (Bigha/Kathha)

Qty Remarks


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Code Type of Land: Khet Irrigated 1, Khet non-irrigated 2, Bari 3, Tenure Type: Own registered land 1, Own non-registered land -2, Shared cropping land 3,Mohi 202. Cattle

Type of cattle No. Quantity of dung per day

1. Cow 2. Buffalo 3. Goat 4. Chicken 5. Pig 6. Other …. (please specify) 203. Cattle feeding habits What are your cattle’s feeding habits:

1. Stall Fed 2. Free Grazing

203. Type of house (Please circle the number) 1. RCC, permanent 2. Zinc plate roofed, Permanent 3. Grass Roof 4. Temporary (Jhupro) 5. Rented House 6. Permanent tile roof? 204. Do you have toilet in your house?

1. Yes 2. No 205. If Yes, type of toilet

1. Pit latrine 2. Permanent 300 Energy 301. What do you use to cook your meal?

1. Gas Stove


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2. Kerosene Stove 3. Biogas Stove 4. Electric Stove 5. Rice Cooker 6. ICS 7. Traditional fire stove

302. What energy sources do you use and what is the average monthly expenditure on them?

Energy Source Purpose Unit Qty Per month

Price (Rs/Unit)

Monthly need (units) Cost (Rs/Month)

Firewood Cooking Bhari:

Agriculture residue

Fodder residue

Dried animal dung

Cooking Ltrs Kerosene

Lighting ltrs

Dry Cell Batteries

LPG

Candles Lighting

Diesel

Petrol

Car battery

Solar PV

Electricity

Other (specify) …………………

303. If firewood is used, what is the major source of firewood? (Please tick, more than one if necessary)

1. Community Forest 2. Public forest (National Forest) 3. Private Forest 4. Transboundary (Indian Forest: applicable for Hasuliya, Bhajani & Khata areas)


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5. Other (please specify)………….. 304. If the source is private forest as well, what percentage of fire wood you get from your own private forest? 305. How has the forest coverage of your locality been changed since last few years?

1. Increasing 2. No change 3. Slightly decreasing 4. Rapidly decreasing

306. If decreasing, what could be the major cause? (Please tick, more than one if necessary)

1. Firewood need of community 2. Logs used in community 3. Firewood for sale 4. Logs for sale 5. Fodder needs of the community 6. Others (specify)…

307. Average time spent on different tasks (hours/day)

Men Women Male children Female children Cooking Household cleaning Firewood collection Fodder collection Water collection Take care of children Grinding Agriculture Resting Recreation/entertainment Other housework Others

308. Do you have any children of school going age not enrolled into school?

1. Yes 2. No 309. If yes

Boys …………. Girls.............

310. Why are not they sent to school? 1. 2. 3.

311. How many hours per day in average do your children study at home?


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………….Hours 312. How is the milling done?

1. Manually at home 2. Electricity mill 3. Diesel mill

313. How you reach this mill: 1. Walking: ___________Hours 2. Dollop: _____________Hours 3. Bicycle:_____________Hours 4. Other vehicle:________Hours

314. What is the source of drinking water and its distance from home?

1. Well 2. Tap water 3. River/canal 4. Hand pump

315. Walking distance to fetch water ……………Hours 316. Why don’t you have biogas in your home?

1. Lack of information 2. Not enough cattle 3. Temporary house 4. Enough firewood 5. Financial reasons 6. Others (specify) ………

317. If the reason is financial; would you install it if loan is provided to you? 1. Yes 2. No

318. Do you have easy access to any MFIs or banks?

1. Yes 2. No

319. Possible use of biogas:

1. Cooking 2. Lighting 3. Manure 4. Toilet 5. Others-specify: ………….

320. How have you been managing cattle dung? (Please tick)

1. Store as pile 2. In the pit


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3. Scattered directly into farms 4. Other method (please specify)………………….


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ANNEX 2.4 SPSS DATABASE OF 395 HHS CONSIDERED IN THE BASELINE CALCULATIONS

Firewood Consumption in Kg Objective S. N. Form # Name Address

Cooking Heating Purpose Total Income Status

Male

1 1 Gopal Rawal Lalmatiya 7, Dang 140 140 2 2 Bir Bahadur Kumal Lalmatiya 7, Dang 100 100 3 3 Bikram Kumal Lalmatiya 7, Dang 140 140 4 4 Pushram Pokhrel Lalmatiya 7, Dang 140 140 5 5 Keshab Bahadur Kumal Lalmatiya 7, Dang 100 100 6 6 Narayan Paudel Lalmatiya 7, Dang 160 160 7 7 Khitu Chaudhari Lalmatiya 7, Dang 200 200 8 8 Metuwa Sharki Lalmatiya 7, Dang 80 80 9 9 Mangal Bahadur Kumal Lalmatiya 7, Dang 140 140

10 10 Gopal Pokharel Lalmatiya 7, Dang 140 140 11 11 Durga Kumal Lalmatiya 7, Dang 160 160 12 12 Ram Br. B.K. Lalmatiya 7, Dang 100 100 13 13 Khem Kumal Lalmatiya 7, Dang 120 120 14 14 Puna Ram Bhusal Lalmatiya 7, Dang 120 120 15 15 Jagat Narayan Chaudhari Lalmatiya 7, Dang 200 200 16 16 Chature Kumal Lalmatiya 7, Dang 120 120 17 17 Thakur Bhusal Lalmatiya 7, Dang 120 120 18 18 Lal Bahadur Kumal Lalmatiya 7, Dang 100 100 19 19 Tek Br. Kumal Lalmatiya 7, Dang 160 160 20 20 Basant Bhusal Lalmatiya 7, Dang 120 120 21 21 Kank Narayan Chaudhari Lalmatiya 1, Dang 140 140 22 22 Mantu Ram Chaudhari Lalmatiya 1, Dang 100 100 23 23 Dhani Ram Chaudhari Lalmatiya 1, Dang 64 64 24 24 Jhabulal Chaudhari Lalmatiya 1, Dang 120 120 25 25 Bishnu Raj Sarma Lalmatiya 1, Dang 140 140 26 26 Kali Ram Chaudhari Lalmatiya 1, Dang 120 120 27 27 Ram Anchal Chaudhari Lalmatiya 1, Dang 60 60 28 28 Dhani Ram Chaudhari Lalmatiya 1, Dang 140 140


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29 29 Uday Kuwar Lalmatiya 1, Dang 140 140 30 30 Kamishwor Chaudhari Lalmatiya 1, Dang 140 140 31 31 Kalinath Paugi Lalmatiya 1, Dang 120 120 32 32 Bhikhu Pr.Chaudhari Lalmatiya 1, Dang 80 80 33 33 Narayan Shing Chaudhari Lalmatiya 1, Dang 140 140 34 34 Bhagu Chaudhari Lalmatiya 1, Dang 120 120 35 35 Gobind Lal Chaudhari Lalmatiya 1, Dang 120 120 36 36 Sunil Chaudhari Lalmatiya 1, Dang 120 120 37 37 Shiv Chaudhari Lalmatiya 1, Dang 220 220 38 38 Labuna Chaudhari Lalmatiya 1, Dang 100 100 39 39 Dai Bahadur Chaudhari Lalmatiya 1, Dang 120 120 40 40 Tulshi Ram Chaudhari Lalmatiya 1, Dang 120 120 41 41 Aasharam Chaudhari Bachhauli 5, Chitwan 350 350 42 42 Man Kumar Mahato Bachhauli 5, Chitwan 175 175 43 43 Shikha Chaudhari Bachhauli 5, Chitwan 245 245 44 44 Giyan Mahato Bachhauli 5, Chitwan 105 105 45 45 Santosh Mahato Bachhauli 5, Chitwan 175 175 46 46 Buddhi Lal Mahato Bachhauli 5, Chitwan 140 140 47 47 Jhagaru Mahato Bachhauli 5, Chitwan 175 175 48 48 Nagarikta Mahato Bachhauli 5, Chitwan 175 175 49 49 Dependra Mahato Bachhauli 5, Chitwan 175 175 50 50 Deepak Timalsena Bachhauli 5, Chitwan 140 140 51 51 Biku Mahato Bachhauli 5, Chitwan 210 210 52 52 Rame Mahato Bachhauli 5, Chitwan 105 105 53 53 Karimahato Bachhauli 5, Chitwan 70 70 54 54 Brikram Mahato Bachhauli 5, Chitwan 140 140 55 55 Parmeshwor Chaudhari Bachhauli 5, Chitwan 175 175 56 56 Bhsju Mshsto Bachhauli 5, Chitwan 70 70 57 57 Sagar Chaudhari Bachhauli 5, Chitwan 105 105 58 58 Santu Chaudhari Bachhauli 5, Chitwan 105 105 59 59 Butiya Mahato Bachhauli 5, Chitwan 70 70 60 60 Nil Kumar Chaudhai Bachhauli 5, Chitwan 70 70 61 61 Gobinda Paudel Bachhauli 6, Chitwan 175 175


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62 62 Dhanpati Chapagai Bachhauli 6, Chitwan 210 210 63 63 Sukai Chaudhari Bachhauli 6, Chitwan 140 140 64 64 Rauti Chaudhari Bachhauli 6, Chitwan 210 210 65 65 Aanand Subedi Bachhauli 6, Chitwan 105 105 66 66 Mannu Nath Adhikari Bachhauli 6, Chitwan 105 105 67 67 Aagit Chaudhari Bachhauli 6, Chitwan 175 175 68 68 Babu Ram Mahato Bachhauli 6, Chitwan 140 140 69 69 Puran Mahato Bachhauli 6, Chitwan 175 175 70 70 Gitan Mahato Bachhauli 6, Chitwan 210 210 71 71 Krishna Datta Acharya Bachhauli 6, Chitwan 70 70 72 72 Ram Prasad Rijal Bachhauli 6, Chitwan 105 105 73 73 Krishan Dhakal Bachhauli 6, Chitwan 70 70 74 74 Chandra Datta Paudel Bachhauli 6, Chitwan 70 70 75 75 Lekha Nath Paudel Bachhauli 6, Chitwan 105 105 76 76 Pardesan Chaudhari Bachhauli 6, Chitwan 70 70 77 77 Shiv Lal Sapkota Bachhauli 6, Chitwan 105 105 78 78 Ramu Mahato Bachhauli 6, Chitwan 105 105 79 79 Channu Chaudhari Bachhauli 6, Chitwan 70 70 80 80 Hari pr. Paudel Bachhauli 6, Chitwan 105 105 81 81 Chukha Tharu Dhodhari 4, Bardiya 350 525 875 82 82 Tark Br.Kumal Dhodhari 4, Bardiya 280 350 630 83 83 Hiralal Tharu Dhodhari 4, Bardiya 1225 1750 2975 84 84 Phuduwa Tharu Dhodhari 4, Bardiya 280 350 630 85 85 Kallu Tharu Dhodhari 4, Bardiya 280 350 630 86 86 Shree Ram Tharu Dhodhari 4, Bardiya 420 560 980 87 87 Jiyalal Tharu Dhodhari 4, Bardiya 525 700 1225 88 88 Prem Lal Tharu Dhodhari 4, Bardiya 280 350 630 89 89 Durjani Tharu Dhodhari 4, Bardiya 350 525 875 90 90 Tikaram Tharu Dhodhari 4, Bardiya 280 280 91 91 Badhu Ram Tharu Dhodhari 4, Bardiya 350 525 875 92 92 Aaja Sahi Dhodhari 4, Bardiya 280 350 630 93 93 Bujhauna Tharu Dhodhari 4, Bardiya 350 525 875 94 94 Pitambar Tharu Dhodhari 4, Bardiya 350 525 875


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95 95 Dhani Ram Tharu Dhodhari 4, Bardiya 350 525 875 96 96 Mani Ram Tharu Dhodhari 4, Bardiya 350 350 97 97 Santu Chaudhari Dhodhari 4, Bardiya 385 385 98 98 Jagrani Tharu Dhodhari 4, Bardiya 420 420 99 99 Jangli Tharu Dhodhari 4, Bardiya 420 420

100 100 Ram Sawrup Chaudhari Dhodhari 4, Bardiya 245 280 525 101 101 Bikrani Tharu Dhodhari 9, Bardiya 525 630 1155 102 102 Ratatiruwa Dhodhari 9, Bardiya 525 525 103 103 Tika Ram Buddhathoki Dhodhari 9, Bardiya 350 350 104 104 Kukulal Tharu Dhodhari 9, Bardiya 455 455 105 105 Gandu Tharu Dhodhari 9, Bardiya 210 280 490 106 106 Jeet Ram Tharu Dhodhari 9, Bardiya 350 455 805 107 107 Saguni Tharu Dhodhari 9, Bardiya 350 350 108 108 Panna Ram Chaudhari Dhodhari 9, Bardiya 280 280 109 109 Thakur Ram Tharu Dhodhari 9, Bardiya 420 420 110 110 Puni Ram Tharu Dhodhari 9, Bardiya 175 175 111 111 Bhaunu Tharu Dhodhari 9, Bardiya 420 420 112 112 Gokul Sahi Dhodhari 9, Bardiya 210 210 113 113 Kali Ban Dhodhari 9, Bardiya 280 280 114 114 Lalpari Tharu Dhodhari 9, Bardiya 175 175 115 115 Sukhi Ram Tharu Dhodhari 9, Bardiya 245 245 116 116 Angrejuwa Tharu Dhodhari 9, Bardiya 280 280 117 117 Bahu Tharu Dhodhari 9, Bardiya 280 280 118 118 Bimal Chaudhari Dhodhari 9, Bardiya 245 245 119 119 Chhabi Lal Khatri Dhodhari 9, Bardiya 210 210 120 120 Jagu Ram Tharu Dhodhari 9, Bardiya 280 280 121 121 Chuliya Tharu Raikawar Bichuwa 5, Kanchanpur 270 270 122 122 Gauri Sankar Naupane Raikawar Bichuwa 5, Kanchanpur 360 360 123 123 Uday Shing Bohora Raikawar Bichuwa 5, Kanchanpur 360 360 124 124 Ametha Tharu Raikawar Bichuwa 5, Kanchanpur 315 315 125 125 Bal Bahadur Shahi Raikawar Bichuwa 5, Kanchanpur 315 315 126 126 Balbire Tamata Raikawar Bichuwa 5, Kanchanpur 315 315 127 127 Aasha Ram Timilsena Raikawar Bichuwa 5, Kanchanpur 360 360


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128 128 Hira Lal Nyaupane Raikawar Bichuwa 5, Kanchanpur 315 315 129 129 Surat Bahadur Shahi Raikawar Bichuwa 5, Kanchanpur 270 270 130 130 Bed Prasad Kanal Raikawar Bichuwa 5, Kanchanpur 225 225 131 131 Mandhari Ghodasaini Raikawar Bichuwa 5, Kanchanpur 270 270 132 132 Ratna Bahadur Bk Raikawar Bichuwa 5, Kanchanpur 225 225 133 133 Babu Ram Paudel Raikawar Bichuwa 5, Kanchanpur 270 270 134 134 Harulal Tharu Raikawar Bichuwa 5, Kanchanpur 225 225 135 135 Dasauta Tharu Raikawar Bichuwa 5, Kanchanpur 360 360 136 136 Ramchandra Kanal Raikawar Bichuwa 5, Kanchanpur 360 360 137 137 Bishnu Banda Raikawar Bichuwa 5, Kanchanpur 405 405 138 138 Thaggu Tharu Raikawar Bichuwa 5, Kanchanpur 225 225 139 139 Jora Shingh Rokaya Raikawar Bichuwa 5, Kanchanpur 180 180 140 140 Parwati Thapa Raikawar Bichuwa 5, Kanchanpur 450 450 141 141 Bam Bahadur Bista Raikawar Bichuwa 3, Kanchanpur 270 270 142 142 Jiw Ram Tharu Raikawar Bichuwa 3, Kanchanpur 180 180 143 143 Bhagi Bista Raikawar Bichuwa 3, Kanchanpur 270 270 144 144 Bhandu Tharu Raikawar Bichuwa 3, Kanchanpur 360 360 145 145 Ratnu Tharu Raikawar Bichuwa 3, Kanchanpur 270 270 146 146 Jug,Man Tharu Raikawar Bichuwa 3, Kanchanpur 225 225 147 147 Sundar Lal Tharu Raikawar Bichuwa 3, Kanchanpur 180 180 148 148 Moti Lal Tharu Raikawar Bichuwa 3, Kanchanpur 225 225 149 149 Bot Lal Chaudhari Raikawar Bichuwa 3, Kanchanpur 270 270 150 150 Bammar Tharu Raikawar Bichuwa 3, Kanchanpur 360 360 151 151 Madhu Tharu Raikawar Bichuwa 3, Kanchanpur 180 180 152 152 Dhani Ram Chaudhari Raikawar Bichuwa 3, Kanchanpur 180 180 153 153 Buddhi Prasad Chaudhari Raikawar Bichuwa 3, Kanchanpur 225 225 154 154 Kabi Ram Bk Raikawar Bichuwa 3, Kanchanpur 180 180 155 155 Ram Prasad Nepali Raikawar Bichuwa 3, Kanchanpur 225 225 156 156 Laudhariya Tharu Raikawar Bichuwa 3, Kanchanpur 225 225 157 157 Sitaram Tharu Raikawar Bichuwa 3, Kanchanpur 270 270 158 158 Sundar Rajbanshi Raikawar Bichuwa 3, Kanchanpur 225 225 159 159 Bal Bahadur Thapa Raikawar Bichuwa 3, Kanchanpur 225 225 160 160 Jaguman Chaudhari Raikawar Bichuwa 3, Kanchanpur 180 180


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161 161 Jhikka Chaudhari Jhalari 7, Kanchanpur 90 90 162 162 Antaram Rana Jhalari 7, Kanchanpur 120 120 163 163 Rati Rana Jhalari 7, Kanchanpur 375 375 164 164 Phirta Rana Jhalari 7, Kanchanpur 75 75 165 165 Thaga Rana Jhalari 7, Kanchanpur 90 90 166 166 Bahadur Saud Jhalari 7, Kanchanpur 90 90 167 167 Baldew Damai Jhalari 7, Kanchanpur 180 180 168 168 Bir Bahadur Saut Jhalari 7, Kanchanpur 60 60 169 169 Dharm Dev Ojha Jhalari 7, Kanchanpur 180 180 170 170 Sukra b. Kabadiyal Jhalari 7, Kanchanpur 105 105 171 171 Yadab Thapa Jhalari 7, Kanchanpur 120 120 172 172 Amar Shaud Jhalari 7, Kanchanpur 90 90 173 173 Kamala Ojha Jhalari 7, Kanchanpur 105 105 174 174 Dhan b. Mahara Jhalari 7, Kanchanpur 75 75 175 175 Pargu Chaudhari Jhalari 7, Kanchanpur 150 150 176 176 Ganesh Tiruwa Jhalari 7, Kanchanpur 60 60 177 177 Chakra b. Tiruwa Jhalari 7, Kanchanpur 120 120 178 178 Prem Chaudhari Jhalari 7, Kanchanpur 225 225 179 179 Thaggu Chaudhari Jhalari 7, Kanchanpur 150 150 180 180 Prayag Raj Ojha Jhalari 7, Kanchanpur 225 225 181 181 Radhe Syam Rama Jhalari 3, Kanchanpur 225 225 182 182 Deshi Ram Rana Jhalari 3, Kanchanpur 150 150 183 183 Chhote Rama Jhalari 3, Kanchanpur 195 195 184 184 Dhani Dash Rana Jhalari 3, Kanchanpur 150 150 185 185 Manu Rana Jhalari 3, Kanchanpur 150 150 186 186 Bal Ram Rana Jhalari 3, Kanchanpur 225 225 187 187 Tantu Rana Jhalari 3, Kanchanpur 225 225 188 188 Ram Pati Devi Rana Jhalari 3, Kanchanpur 225 225 189 189 Jograj Rana Jhalari 3, Kanchanpur 225 225 190 190 Dhani Ram Bhatta Jhalari 3, Kanchanpur 120 120 191 191 Tej Khadka Jhalari 3, Kanchanpur 225 225 192 192 Suresh Air Jhalari 3, Kanchanpur 105 105 193 193 Padam Rajbhatrai Jhalari 3, Kanchanpur 225 225


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194 194 Jeet Br.Khadka Jhalari 3, Kanchanpur 225 225 195 195 Prakash Tmrakar Jhalari 3, Kanchanpur 150 150 196 196 Dal Jeet Tamata Jhalari 3, Kanchanpur 225 225 197 197 Man Dev Tamrakar Jhalari 3, Kanchanpur 225 225 198 201 Daluwa Damai Neulapur 3, Bardiya 600 600 199 202 Tikaram Tamrakar Neulapur 3, Bardiya 150 150 200 203 Lal Br,Bk Neulapur 3, Bardiya 270 270 201 204 Gopal Jagri Neulapur 2, Bardiya 360 360 202 205 Dev Bhatta Neulapur 2, Bardiya 90 90 203 206 Dat Patti Joshi Neulapur 2, Bardiya 240 240 204 207 Mohan Datta Bhatta Neulapur 2, Bardiya 600 600 205 208 Ram Shing Mahara Neulapur 2, Bardiya 150 150 206 209 Chotelal Chaudhari Neulapur 2, Bardiya 450 450 207 210 Bhose Bohra Neulapur 2, Bardiya 120 120 208 211 Dev Datta Bhatta1 Neulapur 2, Bardiya 360 360 209 212 Bahadur Aur Neulapur 2, Bardiya 300 300 210 213 Man Bahadur Bista Neulapur 2, Bardiya 0 211 214 Laxman Kami Neulapur 2, Bardiya 300 300 212 215 Hari Datta Joshi Neulapur 2, Bardiya 450 450 213 216 Parmal Singh Bista Neulapur 2, Bardiya 240 240 214 217 Karna Bista Neulapur 2, Bardiya 240 240 215 218 Arjrj Air Neulapur 2, Bardiya 450 450 216 219 Prem Sing Dhami Neulapur 2, Bardiya 150 150 217 220 Prem Singh Dami Neulapur 2, Bardiya 0 218 221 Tika Rana Neulapur 2, Bardiya 245 245 219 222 Besariya Rana Neulapur 2, Bardiya 420 420 220 223 Kalesa Rana Neulapur 2, Bardiya 175 175 221 224 Bhoj Raj Air Neulapur 6, Bardiya 525 525 222 225 Kripa Datta Joshi Neulapur 6, Bardiya 350 350 223 226 Karan Bahadur Gautam Neulapur 6, Bardiya 420 420 224 227 Dharmanandj Joshi Neulapur 6, Bardiya 420 420 225 228 Ganesh Karki Neulapur 6, Bardiya 1050 1050 226 229 Gamesh Upreti Neulapur 6, Bardiya 350 350


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227 230 Uddhab Bahadur Air Neulapur 6, Bardiya 210 210 228 231 Naribhan Bhatta Neulapur 6, Bardiya 280 280 229 232 Bhawani Datta Bhatta Neulapur 6, Bardiya 525 525 230 233 Madan Bhatta Neulapur 6, Bardiya 700 700 231 234 Pramanda Joshi Neulapur 6, Bardiya 525 525 232 235 Janki Damai Neulapur 6, Bardiya 525 525 233 236 Birbhadu Joshi Neulapur 6, Bardiya 525 525 234 237 Ratan Rana Neulapur 6, Bardiya 525 525 235 238 Nande Luhar Neulapur 6, Bardiya 1050 1050 236 239 Bhamta Rana Neulapur 6, Bardiya 525 525 237 240 Suka Rana Neulapur 6, Bardiya 1050 1050 238 241 Narendra Kumar Chaudhari Hasuliya 6, Kailali 175 175 239 242 Prem Chandra Chaudhari Hasuliya 6, Kailali 250 250 240 243 Chotelal Chaudhari Hasuliya 6, Kailali 200 200 241 244 Moti Ram Chaudhari Hasuliya 6, Kailali 250 250 242 245 Bhagi Ram Chaudhari Hasuliya 6, Kailali 300 300 243 246 Vardhani Chaudhari Hasuliya 6, Kailali 375 375 244 247 Tapasi Ram Chaudhari Hasuliya 6, Kailali 500 500 245 248 Maya Ram Chaudhari Hasuliya 6, Kailali 500 500 246 249 Bhudhiram Chaudhari Hasuliya 6, Kailali 300 300 247 250 Rajendra Chaudhari Hasuliya 6, Kailali 350 350 248 251 Chhuni Ram Chaudhari Hasuliya 6, Kailali 375 375 249 252 Bhardhari Chaudhari Hasuliya 6, Kailali 375 375 250 253 Lahu Ram Kumal Hasuliya 6, Kailali 250 250 251 254 Sukhi Ram Chaudhari Hasuliya 6, Kailali 375 375 252 255 Hari Prasad Chaudhari Hasuliya 6, Kailali 300 300 253 256 Ram Bahadur Chaudhari Hasuliya 6, Kailali 150 150 254 257 Chedu Ram Chaudhari Hasuliya 6, Kailali 375 375 255 258 Jungali Prasad Chaudhari Hasuliya 6, Kailali 150 150 256 259 Lalu Ram Chaudhari Hasuliya 6, Kailali 200 200 257 260 Ram Charan Kumhal Hasuliya 6, Kailali 375 375 258 261 Sadhu Ram Chaudhari Hasuliya 7, Kailali 500 500 259 262 Helu Ram Chaudhari Hasuliya 7, Kailali 700 700


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260 263 Thaike Hasuliya 7, Kailali 500 500 261 264 Ram Bahadur Chaudhari Hasuliya 7, Kailali 300 300 262 265 Khusi Ram Chaudhari Hasuliya 7, Kailali 500 500 263 266 Raj Kumar Chaudhari Hasuliya 7, Kailali 500 500 264 267 Buddhi Ram Chaudhari Hasuliya 7, Kailali 600 600 265 268 Channgu Ram Chaudhari Hasuliya 7, Kailali 300 300 266 269 Bhunte Chaudhari Hasuliya 7, Kailali 500 500 267 270 Balakh Ram Chaudhari Hasuliya 7, Kailali 500 500 268 271 Kamal Chaudhari Hasuliya 7, Kailali 300 300 269 272 Chotelal Chaudhari Hasuliya 7, Kailali 200 200 270 273 Phagalu Chaudhari Hasuliya 7, Kailali 600 600 271 274 Ram Dayal Chaudhari Hasuliya 7, Kailali 300 300 272 275 Tuki Ram Chaudhari Hasuliya 7, Kailali 200 200 273 276 Lahu Ram Chaudhari Hasuliya 7, Kailali 300 300 274 277 Hira Singh Chaudhari Hasuliya 7, Kailali 300 300 275 278 Bam Bahadur Chaudhari Hasuliya 7, Kailali 200 200 276 279 Lainu Chaudhari Hasuliya 7, Kailali 200 200 277 280 Lokahi Chaudhari Hasuliya 7, Kailali 600 600 278 281 Puran Bahadur Chaudhari Ratanpur 5, Kailali 400 400 279 282 Chedha Lal Chaudhari Ratanpur 5, Kailali 150 150 280 283 Kashi Ram Chaudhari Ratanpur 5, Kailali 200 200 281 284 Suresh Chaudhari Ratanpur 5, Kailali 500 500 282 285 Rup Lal Chaudhari Ratanpur 5, Kailali 200 200 283 286 Pholpati Chaudhari Ratanpur 5, Kailali 300 300 284 287 Indra Bahadur Chaudhari Ratanpur 5, Kailali 400 400 285 288 Thagu Ram Chaudhari Ratanpur 5, Kailali 200 200 286 289 Ram Kumar Chaudhari Ratanpur 5, Kailali 200 200 287 290 Kukali Chaudhari Ratanpur 5, Kailali 500 500 288 291 Thagu Ram Chaudhari Ratanpur 5, Kailali 200 200 289 292 Chipu Ram Chaudhari Ratanpur 5, Kailali 250 250 290 293 Bechan Lal Chaudhari Ratanpur 5, Kailali 200 200 291 294 Lagha Ram Chaudhari Ratanpur 5, Kailali 200 200 292 295 Lautu Ram Chaudhari Ratanpur 5, Kailali 375 375


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293 296 Bojhu Ram Chaudhari Ratanpur 5, Kailali 375 375 294 297 Asha Ram Chaudhari Ratanpur 5, Kailali 375 375 295 298 Hori Lal Chaudhari Ratanpur 5, Kailali 200 200 296 299 Mohan Lal Chaudhari Ratanpur 5, Kailali 375 375 297 300 Dil Bahadur Chaudhari Ratanpur 5, Kailali 500 500 298 301 Binti Ram Chaudhari Ratanpur 7, Kailali 700 700 299 302 Ram Saran Chaudhari Ratanpur 7, Kailali 500 500 300 303 Bhagi Ram Chaudhari Ratanpur 7, Kailali 300 100 400 301 304 Thagu Ram Chaudhari Ratanpur 7, Kailali 625 625 302 305 Chunni Lal Chaudhari Ratanpur 7, Kailali 200 250 450 303 306 Mohan Chaudhari Ratanpur 7, Kailali 300 100 400 304 307 Shyam Lal Chaudhari Ratanpur 7, Kailali 300 300 305 308 Desh Raj Chaudhari Ratanpur 7, Kailali 1000 1000 306 309 Ram Narayan Chaudhari Ratanpur 7, Kailali 200 200 307 310 Dev Bahadur Chaudhari Ratanpur 7, Kailali 500 100 600 308 311 Manu Ram Chaudhari Ratanpur 7, Kailali 500 300 800 309 312 Dan Bahadur Chaudhari Ratanpur 7, Kailali 250 300 550 310 313 Buddhi Ram Chaudhari Ratanpur 7, Kailali 300 300 311 314 Kali Ram Chaudhari Ratanpur 7, Kailali 200 175 375 312 315 Janak Lal Chaudhari Ratanpur 7, Kailali 300 100 400 313 316 Dhan Bahadur Rana Ratanpur 7, Kailali 450 450 314 317 Dukha Katariya Ratanpur 7, Kailali 300 300 315 318 Bishnu Chaudhari Ratanpur 7, Kailali 300 300 316 319 Panch Ram Chaudhri Ratanpur 7, Kailali 300 300 317 320 Setu Ram Chaudhari Ratanpur 7, Kailali 375 375 318 321 Shree Muna Devi Chaudhari Masuriya 4, Kailali 120 80 200 319 322 Shree Lohari Chaudhari Masuriya 4, Kailali 360 200 560 320 323 Bhakta Prasad Adhikari Masuriya 4, Kailali 200 80 280 321 324 Baliram Chaudhari Masuriya 4, Kailali 240 120 360 322 325 Tulshi Devi Pun Masuriya 4, Kailali 480 200 680 323 326 Bidesh Lal Chaudhari Masuriya 4, Kailali 320 80 400 324 327 Khusi Ram Chaudhari Masuriya 4, Kailali 240 120 360 325 328 Lachhi Ram Dahit Masuriya 4, Kailali 240 240


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326 329 Upendra Kumar Chaudhari Masuriya 4, Kailali 480 480 327 330 Bam Bahadur Chaudhari Masuriya 4, Kailali 320 320 328 331 Man Bahadur Chaudhari Masuriya 4, Kailali 360 360 329 332 Jagat Ram Chaudhari Masuriya 4, Kailali 480 480 330 333 Laxmi Ram Chaudhari Masuriya 4, Kailali 280 280 331 334 Dilli Raj Sapkota Masuriya 4, Kailali 240 240 332 335 Ram Lal Chaudhari Masuriya 4, Kailali 280 280 333 336 Dhan Prasad Kadel Masuriya 4, Kailali 280 280 334 337 Bhim Prasad Sapkota Masuriya 4, Kailali 240 240 335 338 Pradesh Chaudhari Masuriya 4, Kailali 280 280 336 339 Bishnu Datta Bhatta Masuriya 4, Kailali 480 480 337 340 Pahal Rasaili Masuriya 4, Kailali 280 280 338 341 Om Prakash Khanal Masuriya 8, Kailali 440 440 339 342 Mamata Lamichhane Masuriya 8, Kailali 320 320 340 343 Bali Ram Chaudhari Masuriya 8, Kailali 360 360 341 344 Aitbari Chaudhari Masuriya 8, Kailali 280 280 342 345 Moti Ram Chaudhari Masuriya 8, Kailali 400 400 343 346 Dhukhi Ram Chaudhari Masuriya 8, Kailali 400 400 344 347 Dhut Ram Chaudhari Masuriya 8, Kailali 320 320 345 348 Chaman Chaudhari Masuriya 8, Kailali 480 480 346 349 Gaya Prasad Chaudhari Masuriya 8, Kailali 1500 1500 347 350 Chhedu Ram Chaudhari Masuriya 8, Kailali 360 360 348 351 Manta Ram Chaudhari Masuriya 8, Kailali 280 280 349 352 Prasadu Chaudhari Masuriya 8, Kailali 240 240 350 353 Khusi Ram Chaudhari Masuriya 8, Kailali 960 240 1200 351 354 Dan Shing Chaudhari Masuriya 8, Kailali 320 320 352 355 Mant Ram Chaudhari Masuriya 8, Kailali 200 200 353 356 Lawari Chaudhari Masuriya 8, Kailali 200 200 354 357 Mani Ram Chaudhari Masuriya 8, Kailali 240 240 355 358 Sagi Ram Chaudhari1 Masuriya 8, Kailali 400 400 356 359 Chet Ram Chaudhari Masuriya 8, Kailali 280 280 357 360 Sanchiru Chaudhari Masuriya 8, Kailali 320 320 358 361 Dilli Rawat Pahalmanpur 3, Kailali 280 280


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359 362 Janjiru Kathariya Pahalmanpur 3, Kailali 280 280 360 363 Lachu Ram Chaudhari Pahalmanpur 3, Kailali 210 210 361 364 Bhuddhi Ram Chaudhari Pahalmanpur 3, Kailali 315 315 362 365 Surya Nath Singh Pahalmanpur 3, Kailali 280 280 363 366 Baburam Chaudhari Pahalmanpur 3, Kailali 175 175 364 367 Krishna Prasad Chaudhari Pahalmanpur 3, Kailali 245 245 365 368 Chandra Kathariya Pahalmanpur 3, Kailali 350 350 366 369 Hari Prasad Chaudhari Pahalmanpur 3, Kailali 245 245 367 370 Roina Chaudhari Pahalmanpur 3, Kailali 315 315 368 371 Ram Singh Chaudhari Pahalmanpur 3, Kailali 175 175 369 372 Tika Ram Chaudhari Pahalmanpur 3, Kailali 175 175 370 373 Geet Bahadur Chaudhari Pahalmanpur 3, Kailali 350 350 371 374 Bir Singh Buddha Pahalmanpur 3, Kailali 245 245 372 375 Dil Bahadur Chaudhari Pahalmanpur 3, Kailali 210 210 373 376 Rajendra Bahadur Sah Pahalmanpur 3, Kailali 245 245 374 377 Ramesh Chaudhari Pahalmanpur 3, Kailali 245 245 375 378 Ram Bahadur Chaudhari Pahalmanpur 3, Kailali 175 175 376 379 Bimal Kumar Chaudhari Pahalmanpur 3, Kailali 210 210 377 380 Bal Raj Chaudhari Pahalmanpur 3, Kailali 175 175 378 381 Indra Bahadur Oli Pahalmanpur 1, Kailali 175 175 379 382 Hari Prasad Acharya Pahalmanpur 1, Kailali 175 175 380 383 Dhani Ram Chaudhari Pahalmanpur 1, Kailali 280 280 381 384 Thagu Ram Chaudhari Pahalmanpur 1, Kailali 245 245 382 385 Ram Prasad Chaudhari Pahalmanpur 1, Kailali 245 245 383 386 Pandit Ram Chaudhari Pahalmanpur 1, Kailali 350 350 384 387 Gokarna Chaudhari Pahalmanpur 1, Kailali 280 280 385 388 Santa Ram Chaudhari Pahalmanpur 1, Kailali 140 140 386 389 Chandra Ram Dagaura Pahalmanpur 1, Kailali 245 245 387 390 Badhu Ram Chaudhari Pahalmanpur 1, Kailali 350 350 388 391 Bhakta Bahadur Tiwari Pahalmanpur 1, Kailali 350 350 389 392 Chabi Lal Khanka Pahalmanpur 1, Kailali 210 210 390 393 Sarbagit Nepali Pahalmanpur 1, Kailali 280 280 391 394 Mahanand Sharma Pahalmanpur 1, Kailali 245 245


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392 395 Narhari Kadel Pahalmanpur 1, Kailali 315 315 393 396 Tank Prasad Dahal Pahalmanpur 1, Kailali 210 210 394 397 Jhabilal Nyaupane Pahalmanpur 1, Kailali 140 140 395 398 Nanda Ram Thapa Pahalmanpur 1, Kailali 175 175 396 399 Lal Bahadur Chaudhari Pahalmanpur 1, Kailali 210 210 397 400 Chheda Lal Chaudhari Pahalmanpur 1, Kailali 175 70 245

109704 12170 121874 13 Summary of the Firewood Consumption Details: Total Firewood consumption for ; Cooking Purpose 109,704 Kgs. Heating Purpose 12, 170 Kgs. No. firewood used HHs* 395 Total 121874 Kgs. Average Consumption per HH 308.5417722 * The survey was conducted on 400 HHs; 3 samples were discarded and only 395 HHs were found to uses firewood for the above purposes


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Annex 2.5: SPSS Livestock Database of 395 HHs Considered in the Baseline Calculation

Type of Livestock Daily Dung Production* S. N.

Form # Name Address

Buffalo Cattle Chicken Duck Goat Pig Sheep Total

Units

Buffalo Cattle Goat Pig Total 1 1 Gopal Rawal Lalmatiya 7, Dang 2 2 Kg. 7 7 2 2 Bir Bahadur Kumal Lalmatiya 7, Dang 2 2 1 5 10 Kg. 10 2 2 14 3 3 Bikram Kumal Lalmatiya 7, Dang 3 7 2 1 13 Kg. 15 1 1 17 4 4 Pushram Pokhrel Lalmatiya 7, Dang 3 2 7 4 16 Kg. 16 8 2 26 5 5 Keshab Bahadur Kumal Lalmatiya 7, Dang 1 4 20 14 39 Kg. 4 12 1 17 6 6 Narayan Paudel Lalmatiya 7, Dang 1 1 2 Kg. 10 10 7 7 Khitu Chaudhari Lalmatiya 7, Dang 4 2 4 2 1 13 Kg. 24 6 30 8 8 Metuwa Sharki Lalmatiya 7, Dang 1 2 3 Kg. 4 4 9 9 Mangal Bahadur Kumal Lalmatiya 7, Dang 2 2 3 7 Kg. 8 8

10 10 Gopal Pokharel Lalmatiya 7, Dang 2 5 4 7 18 Kg. 10 12 22 11 11 Durga Kumal Lalmatiya 7, Dang 2 1 3 Kg. 7 7 12 12 Ram Br. B.K. Lalmatiya 7, Dang 1 12 1 14 Kg. 7 7 13 13 Khem Kumal Lalmatiya 7, Dang 3 3 6 Kg. 10 10 14 14 Puna Ram Bhusal Lalmatiya 7, Dang 5 4 3 12 Kg. 20 16 36 15 15 Jagat Narayan Chaudhari Lalmatiya 7, Dang 2 7 9 Kg. 8 8 16 16 Chature Kumal Lalmatiya 7, Dang 4 6 10 Kg. 14 14 17 17 Thakur Bhusal Lalmatiya 7, Dang 1 2 3 Kg. 4 4 18 18 Lal Bahadur Kumal Lalmatiya 7, Dang 4 1 5 Kg. 16 16 19 19 Tek Br. Kumal Lalmatiya 7, Dang 6 1 2 9 Kg. 24 24 20 20 Basant Bhusal Lalmatiya 7, Dang 2 1 5 8 Kg. 8 8 21 21 Kank Narayan Chaudhari Lalmatiya 1, Dang 1 1 Kg. 10 10 22 22 Mantu Ram Chaudhari Lalmatiya 1, Dang 2 7 1 1 11 Kg. 7 7 23 23 Dhani Ram Chaudhari Lalmatiya 1, Dang 2 2 2 1 7 Kg. 10 10 24 24 Jhabulal Chaudhari Lalmatiya 1, Dang 3 3 2 8 Kg. 20 20 25 25 Bishnu Raj Sarma Lalmatiya 1, Dang 2 2 Kg. 16 16 26 26 Kali Ram Chaudhari Lalmatiya 1, Dang 4 3 1 8 Kg. 14 14 27 27 Ram Anchal Chaudhari Lalmatiya 1, Dang 5 2 1 8 Kg. 18 18 28 28 Dhani Ram Chaudhari Lalmatiya 1, Dang 6 6 Kg. 15 15


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29 29 Uday Kuwar Lalmatiya 1, Dang 2 6 4 12 Kg. 16 16 30 30 Kamishwor Chaudhari Lalmatiya 1, Dang 4 4 Kg. 14 14 31 31 Kalinath Paugi Lalmatiya 1, Dang 2 3 6 11 Kg. 8 8 32 32 Bhikhu Pr.Chaudhari Lalmatiya 1, Dang 2 2 4 Kg. 5 5 33 33 Narayan Shing Chaudhari Lalmatiya 1, Dang 4 2 2 1 9 Kg. 20 20 34 34 Bhagu Chaudhari Lalmatiya 1, Dang 5 3 8 Kg. 20 20 35 35 Gobind Lal Chaudhari Lalmatiya 1, Dang 2 2 2 6 Kg. 7 7 36 36 Sunil Chaudhari Lalmatiya 1, Dang 1 5 6 Kg. 4 4 37 37 Shiv Chaudhari Lalmatiya 1, Dang 2 1 1 4 Kg. 3 3 38 38 Labuna Chaudhari Lalmatiya 1, Dang 4 2 1 2 9 Kg. 12 12 39 39 Dai Bahadur Chaudhari Lalmatiya 1, Dang 2 1 3 Kg. 6 6 40 40 Tulshi Ram Chaudhari Lalmatiya 1, Dang 2 1 2 1 6 Kg. 8 8 41 41 Aasharam Chaudhari Bachhauli 5, Chitwan 3 8 4 6 21 Kg. 20 20 42 42 Man Kumar Mahato Bachhauli 5, Chitwan 3 1 4 Kg. 0 43 43 Shikha Chaudhari Bachhauli 5, Chitwan 3 9 12 Kg. 10 10 44 44 Giyan Mahato Bachhauli 5, Chitwan 2 1 6 9 Kg. 15 10 25 45 45 Santosh Mahato Bachhauli 5, Chitwan 2 1 4 7 Kg. 20 10 30 46 46 Buddhi Lal Mahato Bachhauli 5, Chitwan 3 2 5 Kg. 10 10 47 47 Jhagaru Mahato Bachhauli 5, Chitwan 1 8 9 Kg. 12 12 48 48 Nagarikta Mahato Bachhauli 5, Chitwan 2 1 7 10 Kg. 10 10 20 49 49 Dependra Mahato Bachhauli 5, Chitwan 3 8 4 15 Kg. 20 20 50 50 Deepak Timalsena Bachhauli 5, Chitwan 1 2 3 Kg. 10 10 51 51 Biku Mahato Bachhauli 5, Chitwan 2 3 5 Kg. 12 12 52 52 Rame Mahato Bachhauli 5, Chitwan 2 1 11 2 16 Kg. 12 6 18 53 53 Karimahato Bachhauli 5, Chitwan 2 3 5 Kg. 30 30 54 54 Brikram Mahato Bachhauli 5, Chitwan 1 9 10 Kg. 10 10 55 55 Parmeshwor Chaudhari Bachhauli 5, Chitwan 1 1 Kg. 10 10 56 56 Bhsju Mshsto Bachhauli 5, Chitwan 1 7 8 Kg. 10 10 57 57 Sagar Chaudhari Bachhauli 5, Chitwan 1 4 5 Kg. 10 10 58 58 Santu Chaudhari Bachhauli 5, Chitwan 2 5 7 Kg. 15 15 59 59 Butiya Mahato Bachhauli 5, Chitwan 2 2 Kg. 20 20 60 60 Nil Kumar Chaudhai Bachhauli 5, Chitwan 1 1 Kg. 10 10 61 61 Gobinda Paudel Bachhauli 6, Chitwan 1 2 2 5 Kg. 12 20 32


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62 62 Dhanpati Chapagai Bachhauli 6, Chitwan 1 2 2 5 Kg. 12 24 36 63 63 Sukai Chaudhari Bachhauli 6, Chitwan 2 2 4 Kg. 24 24 64 64 Rauti Chaudhari Bachhauli 6, Chitwan 3 7 3 13 Kg. 30 30 65 65 Aanand Subedi Bachhauli 6, Chitwan 1 2 3 Kg. 12 18 30 66 66 Mannu Nath Adhikari Bachhauli 6, Chitwan 2 2 4 Kg. 15 15 67 67 Aagit Chaudhari Bachhauli 6, Chitwan 3 6 9 Kg. 20 20 68 68 Babu Ram Mahato Bachhauli 6, Chitwan 3 3 Kg. 20 20 69 69 Puran Mahato Bachhauli 6, Chitwan 2 2 Kg. 24 24 70 70 Gitan Mahato Bachhauli 6, Chitwan 3 3 Kg. 20 20 71 71 Krishna Datta Acharya Bachhauli 6, Chitwan 2 2 4 Kg. 15 15 72 72 Ram Prasad Rijal Bachhauli 6, Chitwan 1 1 2 Kg. 10 5 15 73 73 Krishan Dhakal Bachhauli 6, Chitwan 3 2 5 Kg. 24 24 74 74 Chandra Datta Paudel Bachhauli 6, Chitwan 1 3 4 Kg. 10 10 75 75 Lekha Nath Paudel Bachhauli 6, Chitwan 2 2 Kg. 24 24 76 76 Pardesan Chaudhari Bachhauli 6, Chitwan 1 2 3 Kg. 10 10 77 77 Shiv Lal Sapkota Bachhauli 6, Chitwan 2 2 Kg. 24 24 78 78 Ramu Mahato Bachhauli 6, Chitwan 1 1 Kg. 12 12 79 79 Channu Chaudhari Bachhauli 6, Chitwan 2 3 5 Kg. 20 20 80 80 Hari pr. Paudel Bachhauli 6, Chitwan 1 1 Kg. 10 10 81 81 Chukha Tharu Dhodhari 4, Bardiya 7 1 8 Kg. 70 70 82 82 Tark Br.Kumal Dhodhari 4, Bardiya 3 18 6 27 Kg. 15 15 83 83 Hiralal Tharu Dhodhari 4, Bardiya 2 2 4 1 9 Kg. 20 25 45 84 84 Phuduwa Tharu Dhodhari 4, Bardiya 2 2 8 12 Kg. 20 20 85 85 Kallu Tharu Dhodhari 4, Bardiya 2 4 6 Kg. 25 25 86 86 Shree Ram Tharu Dhodhari 4, Bardiya 4 5 9 Kg. 30 30 87 87 Jiyalal Tharu Dhodhari 4, Bardiya 2 4 2 8 Kg. 22 22 88 88 Prem Lal Tharu Dhodhari 4, Bardiya 2 2 4 Kg. 20 20 89 89 Durjani Tharu Dhodhari 4, Bardiya 2 2 Kg. 20 20 90 90 Tikaram Tharu Dhodhari 4, Bardiya 2 2 Kg. 15 15 91 91 Badhu Ram Tharu Dhodhari 4, Bardiya 2 2 4 Kg. 15 15 92 92 Aaja Sahi Dhodhari 4, Bardiya 3 7 10 Kg. 30 30 93 93 Bujhauna Tharu Dhodhari 4, Bardiya 3 3 Kg. 36 36 94 94 Pitambar Tharu Dhodhari 4, Bardiya 16 15 4 35 Kg. 80 80


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95 95 Dhani Ram Tharu Dhodhari 4, Bardiya 2 2 Kg. 30 30 96 96 Mani Ram Tharu Dhodhari 4, Bardiya 2 2 4 Kg. 25 25 97 97 Santu Chaudhari Dhodhari 4, Bardiya 2 1 3 Kg. 20 20 98 98 Jagrani Tharu Dhodhari 4, Bardiya 2 3 5 Kg. 20 20 99 99 Jangli Tharu Dhodhari 4, Bardiya 2 3 5 Kg. 20 20

100 100 Ram Sawrup Chaudhari Dhodhari 4, Bardiya 2 3 5 Kg. 20 20 101 101 Bikrani Tharu Dhodhari 9, Bardiya 2 1 10 3 16 Kg. 20 10 30 102 102 Ratatiruwa Dhodhari 9, Bardiya 3 3 5 11 Kg. 30 30 103 103 Tika Ram Buddhathoki Dhodhari 9, Bardiya 3 3 6 Kg. 30 30 104 104 Kukulal Tharu Dhodhari 9, Bardiya 2 2 Kg. 20 20 105 105 Gandu Tharu Dhodhari 9, Bardiya 7 5 12 Kg. 50 50 106 106 Jeet Ram Tharu Dhodhari 9, Bardiya 2 1 3 Kg. 22 22 107 107 Saguni Tharu Dhodhari 9, Bardiya 2 2 Kg. 20 20 108 108 Panna Ram Chaudhari Dhodhari 9, Bardiya 2 15 7 24 Kg. 20 20 109 109 Thakur Ram Tharu Dhodhari 9, Bardiya 2 2 Kg. 20 20 110 110 Puni Ram Tharu Dhodhari 9, Bardiya 2 6 1 9 Kg. 10 10 111 111 Bhaunu Tharu Dhodhari 9, Bardiya 3 1 4 Kg. 20 20 112 112 Gokul Sahi Dhodhari 9, Bardiya 1 2 3 Kg. 5 5 113 113 Kali Ban Dhodhari 9, Bardiya 2 7 9 Kg. 10 10 114 114 Lalpari Tharu Dhodhari 9, Bardiya 3 7 2 12 Kg. 20 20 115 115 Sukhi Ram Tharu Dhodhari 9, Bardiya 2 5 3 10 Kg. 10 10 116 116 Angrejuwa Tharu Dhodhari 9, Bardiya 2 5 3 10 Kg. 20 20 117 117 Bahu Tharu Dhodhari 9, Bardiya 2 4 6 Kg. 20 20 118 118 Bimal Chaudhari Dhodhari 9, Bardiya 2 10 4 1 17 Kg. 20 20 119 119 Chhabi Lal Khatri Dhodhari 9, Bardiya 1 3 3 1 8 Kg. 12 20 32 120 120 Jagu Ram Tharu Dhodhari 9, Bardiya 2 3 5 Kg. 10 10 121 121 Chuliya Tharu Raikawar Bichuwa 5, Kanchanpur 4 5 3 1 13 Kg. 20 20 122 122 Gauri Sankar Naupane Raikawar Bichuwa 5, Kanchanpur 2 10 2 14 Kg. 10 10 123 123 Uday Shing Bohora Raikawar Bichuwa 5, Kanchanpur 5 10 15 Kg. 25 25 124 124 Ametha Tharu Raikawar Bichuwa 5, Kanchanpur 4 2 6 Kg. 20 20 125 125 Bal Bahadur Shahi Raikawar Bichuwa 5, Kanchanpur 6 6 Kg. 25 25 126 126 Balbire Tamata Raikawar Bichuwa 5, Kanchanpur 2 2 1 5 Kg. 10 10 127 127 Aasha Ram Timilsena Raikawar Bichuwa 5, Kanchanpur 5 2 7 Kg. 16 16


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128 128 Hira Lal Nyaupane Raikawar Bichuwa 5, Kanchanpur 1 3 2 6 12 Kg. 5 15 20 129 129 Surat Bahadur Shahi Raikawar Bichuwa 5, Kanchanpur 1 1 Kg. 12 12 130 130 Bed Prasad Kanal Raikawar Bichuwa 5, Kanchanpur 1 4 5 Kg. 10 10 131 131 Mandhari Ghodasaini Raikawar Bichuwa 5, Kanchanpur 2 1 3 Kg. 15 5 20 132 132 Ratna Bahadur Bk Raikawar Bichuwa 5, Kanchanpur 1 3 4 Kg. 6 12 18 133 133 Babu Ram Paudel Raikawar Bichuwa 5, Kanchanpur 3 4 4 11 Kg. 25 20 45 134 134 Harulal Tharu Raikawar Bichuwa 5, Kanchanpur 1 1 2 Kg. 6 6 12 135 135 Dasauta Tharu Raikawar Bichuwa 5, Kanchanpur 2 1 1 4 Kg. 14 14 136 136 Ramchandra Kanal Raikawar Bichuwa 5, Kanchanpur 3 7 1 11 Kg. 12 30 42 137 137 Bishnu Banda Raikawar Bichuwa 5, Kanchanpur 5 3 8 Kg. 16 16 138 138 Thaggu Tharu Raikawar Bichuwa 5, Kanchanpur 4 4 Kg. 25 25 139 139 Jora Shingh Rokaya Raikawar Bichuwa 5, Kanchanpur 2 2 Kg. 12 12 140 140 Parwati Thapa Raikawar Bichuwa 5, Kanchanpur 4 4 Kg. 16 16 141 141 Bam Bahadur Bista Raikawar Bichuwa 3, Kanchanpur 4 2 4 10 Kg. 15 15 142 142 Jiw Ram Tharu Raikawar Bichuwa 3, Kanchanpur 2 2 2 3 9 Kg. 18 12 30 143 143 Bhagi Bista Raikawar Bichuwa 3, Kanchanpur 2 8 4 14 Kg. 12 12 144 144 Bhandu Tharu Raikawar Bichuwa 3, Kanchanpur 1 3 2 6 Kg. 6 18 24 145 145 Ratnu Tharu Raikawar Bichuwa 3, Kanchanpur 3 3 6 12 Kg. 1 15 16 146 146 Jug,Man Tharu Raikawar Bichuwa 3, Kanchanpur 3 1 4 Kg. 15 15 147 147 Sundar Lal Tharu Raikawar Bichuwa 3, Kanchanpur 3 1 2 6 Kg. 20 20 148 148 Moti Lal Tharu Raikawar Bichuwa 3, Kanchanpur 5 1 1 7 Kg. 24 24 149 149 Bot Lal Chaudhari Raikawar Bichuwa 3, Kanchanpur 3 2 1 6 Kg. 18 18 150 150 Bammar Tharu Raikawar Bichuwa 3, Kanchanpur 2 2 4 Kg. 15 5 20 151 151 Madhu Tharu Raikawar Bichuwa 3, Kanchanpur 2 1 3 Kg. 18 18 152 152 Dhani Ram Chaudhari Raikawar Bichuwa 3, Kanchanpur 1 1 2 Kg. 6 6 12 153 153 Buddhi Prasad Chaudhari Raikawar Bichuwa 3, Kanchanpur 1 6 7 Kg. 6 30 36 154 154 Kabi Ram Bk Raikawar Bichuwa 3, Kanchanpur 1 3 1 5 Kg. 6 18 24 155 155 Ram Prasad Nepali Raikawar Bichuwa 3, Kanchanpur 3 3 Kg. 15 15 156 156 Laudhariya Tharu Raikawar Bichuwa 3, Kanchanpur 4 4 Kg. 20 20 157 157 Sitaram Tharu Raikawar Bichuwa 3, Kanchanpur 6 1 7 Kg. 30 30 158 158 Sundar Rajbanshi Raikawar Bichuwa 3, Kanchanpur 3 1 4 Kg. 12 12 159 159 Bal Bahadur Thapa Raikawar Bichuwa 3, Kanchanpur 4 4 Kg. 20 20 160 160 Jaguman Chaudhari Raikawar Bichuwa 3, Kanchanpur 2 2 Kg. 20 20


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161 161 Jhikka Chaudhari Jhalari 7, Kanchanpur 5 5 Kg. 30 30 162 162 Antaram Rana Jhalari 7, Kanchanpur 4 4 Kg. 30 30 163 163 Rati Rana Jhalari 7, Kanchanpur 1 6 3 10 Kg. 5 40 45 164 164 Phirta Rana Jhalari 7, Kanchanpur 1 4 2 7 Kg. 5 20 165 165 Thaga Rana Jhalari 7, Kanchanpur 1 4 5 Kg. 5 20 25 166 166 Bahadur Saud Jhalari 7, Kanchanpur 2 3 5 Kg. 20 15 35 167 167 Baldew Damai Jhalari 7, Kanchanpur 2 5 16 23 Kg. 15 25 40 168 168 Bir Bahadur Saut Jhalari 7, Kanchanpur 1 5 6 Kg. 5 25 30 169 169 Dharm Dev Ojha Jhalari 7, Kanchanpur 1 2 2 5 Kg. 5 10 15 170 170 Sukra b. Kabadiyal Jhalari 7, Kanchanpur 5 6 11 Kg. 25 25 171 171 Yadab Thapa Jhalari 7, Kanchanpur 3 3 Kg. 15 15 172 172 Amar Shaud Jhalari 7, Kanchanpur 5 5 Kg. 25 25 173 173 Kamala Ojha Jhalari 7, Kanchanpur 5 5 Kg. 30 30 174 174 Dhan b. Mahara Jhalari 7, Kanchanpur 1 1 Kg. 10 10 175 175 Pargu Chaudhari Jhalari 7, Kanchanpur 1 2 3 Kg. 6 10 16 176 176 Ganesh Tiruwa Jhalari 7, Kanchanpur 1 3 4 Kg. 8 15 23 177 177 Chakra b. Tiruwa Jhalari 7, Kanchanpur 7 7 Kg. 40 40 178 178 Prem Chaudhari Jhalari 7, Kanchanpur 2 2 Kg. 12 12 179 179 Thaggu Chaudhari Jhalari 7, Kanchanpur 2 1 3 3 9 Kg. 15 6 21 180 180 Prayag Raj Ojha Jhalari 7, Kanchanpur 1 2 5 5 13 Kg. 8 12 20 181 181 Radhe Syam Rama Jhalari 3, Kanchanpur 1 1 4 6 Kg. 16 24 40 182 182 Deshi Ram Rana Jhalari 3, Kanchanpur 18 18 Kg. 60 60 183 183 Chhote Rama Jhalari 3, Kanchanpur 1 3 1 5 Kg. 8 25 33 184 184 Dhani Dash Rana Jhalari 3, Kanchanpur 1 1 2 Kg. 15 10 25 185 185 Manu Rana Jhalari 3, Kanchanpur 5 4 9 Kg. 40 40 186 186 Bal Ram Rana Jhalari 3, Kanchanpur 1 4 12 17 Kg. 8 30 38 187 187 Tantu Rana Jhalari 3, Kanchanpur 1 3 5 9 Kg. 8 24 32 188 188 Ram Pati Devi Rana Jhalari 3, Kanchanpur 2 3 1 6 Kg. 16 24 40 189 189 Jograj Rana Jhalari 3, Kanchanpur 2 1 3 Kg. 20 10 30 190 190 Dhani Ram Bhatta Jhalari 3, Kanchanpur 2 2 Kg. 20 20 191 191 Tej Khadka Jhalari 3, Kanchanpur 5 5 1 11 Kg. 50 40 90 192 192 Suresh Air Jhalari 3, Kanchanpur 1 1 Kg. 10 10 193 193 Padam Rajbhatrai Jhalari 3, Kanchanpur 1 2 6 9 Kg. 10 16 26


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194 194 Jeet Br.Khadka Jhalari 3, Kanchanpur 2 3 4 1 10 Kg. 16 16 195 195 Prakash Tmrakar Jhalari 3, Kanchanpur 3 3 Kg. 25 25 196 196 Dal Jeet Tamata Jhalari 3, Kanchanpur 1 4 4 2 11 Kg. 10 35 45 197 197 Man Dev Tamrakar Jhalari 3, Kanchanpur 3 3 Kg. 28 28 198 201 Daluwa Damai Neulapur 3, Bardiya 3 1 1 1 6 Kg. 25 25 199 202 Tikaram Tamrakar Neulapur 3, Bardiya 2 1 4 7 Kg. 20 5 25 200 203 Lal Br,Bk Neulapur 3, Bardiya 4 4 Kg. 30 30 201 204 Gopal Jagri Neulapur 2, Bardiya 3 1 4 Kg. 15 15 202 205 Dev Bhatta Neulapur 2, Bardiya 1 2 3 Kg. 10 10 20 203 206 Dat Patti Joshi Neulapur 2, Bardiya 1 2 2 5 Kg. 10 20 30 204 207 Mohan Datta Bhatta Neulapur 2, Bardiya 1 3 2 6 Kg. 15 15 205 208 Ram Shing Mahara Neulapur 2, Bardiya 1 1 Kg. 10 10 206 209 Chotelal Chaudhari Neulapur 2, Bardiya 2 1 3 Kg. 10 10 207 210 Bhose Bohra Neulapur 2, Bardiya 2 2 Kg. 20 20 208 211 Dev Datta Bhatta1 Neulapur 2, Bardiya 2 7 5 14 Kg. 16 16 209 212 Bahadur Aur Neulapur 2, Bardiya 1 2 7 5 15 Kg. 10 5 15 210 213 Man Bahadur Bista Neulapur 2, Bardiya 1 1 2 Kg. 6 6 211 214 Laxman Kami Neulapur 2, Bardiya 2 7 9 Kg. 20 20 212 215 Hari Datta Joshi Neulapur 2, Bardiya 3 7 10 Kg. 20 20 213 216 Parmal Singh Bista Neulapur 2, Bardiya 2 2 Kg. 12 12 214 217 Karna Bista Neulapur 2, Bardiya 2 6 4 12 Kg. 8 8 215 218 Arjrj Air Neulapur 2, Bardiya 2 25 2 3 32 Kg. 20 20 216 219 Prem Sing Dhami Neulapur 2, Bardiya 0 Kg. 0 217 220 Prem Singh Dami Neulapur 2, Bardiya 0 Kg. 0 218 221 Tika Rana Neulapur 2, Bardiya 1 1 2 4 Kg. 12 12 219 222 Besariya Rana Neulapur 2, Bardiya 1 7 5 13 Kg. 7 7 220 223 Kalesa Rana Neulapur 2, Bardiya 1 6 7 Kg. 10 10 221 224 Bhoj Raj Air Neulapur 6, Bardiya 2 2 Kg. 20 20 222 225 Kripa Datta Joshi Neulapur 6, Bardiya 2 6 4 1 13 Kg. 20 20 223 226 Karan Bahadur Gautam Neulapur 6, Bardiya 2 3 7 1 13 Kg. 20 20 224 227 Dharmanandj Joshi Neulapur 6, Bardiya 3 1 4 Kg. 20 20 225 228 Ganesh Karki Neulapur 6, Bardiya 2 6 2 1 11 Kg. 20 50 70 226 229 Gamesh Upreti Neulapur 6, Bardiya 2 2 4 Kg. 20 20


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227 230 Uddhab Bahadur Air Neulapur 6, Bardiya 2 2 Kg. 20 20 228 231 Naribhan Bhatta Neulapur 6, Bardiya 2 2 4 8 Kg. 10 10 229 232 Bhawani Datta Bhatta Neulapur 6, Bardiya 4 10 4 1 19 Kg. 10 10 230 233 Madan Bhatta Neulapur 6, Bardiya 2 2 Kg. 15 15 231 234 Pramanda Joshi Neulapur 6, Bardiya 2 2 4 Kg. 10 10 232 235 Janki Damai Neulapur 6, Bardiya 2 3 5 Kg. 20 20 233 236 Birbhadu Joshi Neulapur 6, Bardiya 4 7 1 12 Kg. 20 20 234 237 Ratan Rana Neulapur 6, Bardiya 2 4 6 Kg. 20 20 235 238 Nande Luhar Neulapur 6, Bardiya 2 2 4 1 9 Kg. 20 20 40 236 239 Bhamta Rana Neulapur 6, Bardiya 1 1 Kg. 15 15 237 240 Suka Rana Neulapur 6, Bardiya 6 15 6 1 28 Kg. 20 20 238 241 Narendra Kumar Chaudhari Hasuliya 6, Kailali 2 2 4 Kg. 15 15 239 242 Prem Chandra Chaudhari Hasuliya 6, Kailali 2 2 Kg. 15 15 240 243 Chotelal Chaudhari Hasuliya 6, Kailali 2 2 Kg. 15 15 241 244 Moti Ram Chaudhari Hasuliya 6, Kailali 2 2 4 Kg. 10 10 242 245 Bhagi Ram Chaudhari Hasuliya 6, Kailali 2 2 Kg. 10 10 243 246 Vardhani Chaudhari Hasuliya 6, Kailali 2 2 Kg. 10 10 244 247 Tapasi Ram Chaudhari Hasuliya 6, Kailali 4 4 Kg. 10 10 245 248 Maya Ram Chaudhari Hasuliya 6, Kailali 3 5 4 3 2 17 Kg. 12 25 37 246 249 Bhudhiram Chaudhari Hasuliya 6, Kailali 2 2 Kg. 15 15 247 250 Rajendra Chaudhari Hasuliya 6, Kailali 2 2 7 1 12 Kg. 10 5 15 248 251 Chhuni Ram Chaudhari Hasuliya 6, Kailali 2 15 1 18 Kg. 10 10 249 252 Bhardhari Chaudhari Hasuliya 6, Kailali 2 2 2 6 Kg. 15 15 250 253 Lahu Ram Kumal Hasuliya 6, Kailali 2 1 1 4 Kg. 10 10 251 254 Sukhi Ram Chaudhari Hasuliya 6, Kailali 2 2 Kg. 10 10 252 255 Hari Prasad Chaudhari Hasuliya 6, Kailali 2 6 1 9 Kg. 10 10 253 256 Ram Bahadur Chaudhari Hasuliya 6, Kailali 2 2 Kg. 10 10 254 257 Chedu Ram Chaudhari Hasuliya 6, Kailali 2 3 1 1 7 Kg. 10 10 255 258 Jungali Prasad Chaudhari Hasuliya 6, Kailali 2 3 22 1 1 29 Kg. 16 10 26 256 259 Lalu Ram Chaudhari Hasuliya 6, Kailali 2 2 Kg. 15 15 257 260 Ram Charan Kumhal Hasuliya 6, Kailali 2 2 Kg. 10 10 258 261 Sadhu Ram Chaudhari Hasuliya 7, Kailali 2 3 2 7 Kg. 10 10 259 262 Helu Ram Chaudhari Hasuliya 7, Kailali 14 15 29 Kg. 45 45


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260 263 Thaike Hasuliya 7, Kailali 3 10 1 14 Kg. 25 25 261 264 Ram Bahadur Chaudhari Hasuliya 7, Kailali 3 35 1 39 Kg. 20 20 262 265 Khusi Ram Chaudhari Hasuliya 7, Kailali 5 9 1 15 Kg. 30 30 263 266 Raj Kumar Chaudhari Hasuliya 7, Kailali 1 18 1 20 Kg. 5 5 264 267 Buddhi Ram Chaudhari Hasuliya 7, Kailali 11 5 1 17 Kg. 60 60 265 268 Channgu Ram Chaudhari Hasuliya 7, Kailali 2 19 21 Kg. 15 15 266 269 Bhunte Chaudhari Hasuliya 7, Kailali 10 1 1 1 13 Kg. 60 60 267 270 Balakh Ram Chaudhari Hasuliya 7, Kailali 4 20 1 25 Kg. 27 27 268 271 Kamal Chaudhari Hasuliya 7, Kailali 2 1 1 4 Kg. 15 15 269 272 Chotelal Chaudhari Hasuliya 7, Kailali 2 15 1 18 Kg. 15 15 270 273 Phagalu Chaudhari Hasuliya 7, Kailali 2 9 6 17 Kg. 15 15 271 274 Ram Dayal Chaudhari Hasuliya 7, Kailali 2 6 1 9 Kg. 10 10 272 275 Tuki Ram Chaudhari Hasuliya 7, Kailali 2 2 1 5 Kg. 12 12 273 276 Lahu Ram Chaudhari Hasuliya 7, Kailali 1 7 8 Kg. 5 5 274 277 Hira Singh Chaudhari Hasuliya 7, Kailali 2 3 1 6 Kg. 15 15 275 278 Bam Bahadur Chaudhari Hasuliya 7, Kailali 2 1 9 12 Kg. 15 15 276 279 Lainu Chaudhari Hasuliya 7, Kailali 2 2 1 5 Kg. 12 12 277 280 Lokahi Chaudhari Hasuliya 7, Kailali 2 3 1 6 Kg. 15 15 278 281 Puran Bahadur Chaudhari Ratanpur 5, Kailali 2 10 2 14 Kg. 20 20 279 282 Chedha Lal Chaudhari Ratanpur 5, Kailali 2 2 Kg. 0 280 283 Kashi Ram Chaudhari Ratanpur 5, Kailali 2 18 2 22 Kg. 10 10 281 284 Suresh Chaudhari Ratanpur 5, Kailali 5 6 3 2 16 Kg. 25 40 65 282 285 Rup Lal Chaudhari Ratanpur 5, Kailali 4 4 1 9 Kg. 40 40 283 286 Pholpati Chaudhari Ratanpur 5, Kailali 2 10 4 3 2 21 Kg. 15 50 65 284 287 Indra Bahadur Chaudhari Ratanpur 5, Kailali 1 3 1 5 Kg. 5 5 285 288 Thagu Ram Chaudhari Ratanpur 5, Kailali 4 2 6 Kg. 20 20 286 289 Ram Kumar Chaudhari Ratanpur 5, Kailali 0 Kg. 0 287 290 Kukali Chaudhari Ratanpur 5, Kailali 2 2 1 5 Kg. 15 15 288 291 Thagu Ram Chaudhari Ratanpur 5, Kailali 3 1 4 Kg. 15 15 289 292 Chipu Ram Chaudhari Ratanpur 5, Kailali 6 10 2 1 19 Kg. 25 25 290 293 Bechan Lal Chaudhari Ratanpur 5, Kailali 2 1 3 Kg. 12 12 291 294 Lagha Ram Chaudhari Ratanpur 5, Kailali 2 3 3 1 9 Kg. 10 10 292 295 Lautu Ram Chaudhari Ratanpur 5, Kailali 5 4 9 Kg. 0


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293 296 Bojhu Ram Chaudhari Ratanpur 5, Kailali 2 1 3 Kg. 10 10 294 297 Asha Ram Chaudhari Ratanpur 5, Kailali 1 1 2 Kg. 5 5 295 298 Hori Lal Chaudhari Ratanpur 5, Kailali 1 1 2 Kg. 5 5 296 299 Mohan Lal Chaudhari Ratanpur 5, Kailali 2 5 1 8 Kg. 12 12 297 300 Dil Bahadur Chaudhari Ratanpur 5, Kailali 1 5 6 Kg. 5 5 298 301 Binti Ram Chaudhari Ratanpur 7, Kailali 2 19 6 5 2 34 Kg. 12 100 112 299 302 Ram Saran Chaudhari Ratanpur 7, Kailali 4 2 6 Kg. 19 19 300 303 Bhagi Ram Chaudhari Ratanpur 7, Kailali 16 7 1 24 Kg. 30 30 301 304 Thagu Ram Chaudhari Ratanpur 7, Kailali 4 7 1 12 Kg. 20 20 302 305 Chunni Lal Chaudhari Ratanpur 7, Kailali 2 3 1 6 Kg. 6 6 303 306 Mohan Chaudhari Ratanpur 7, Kailali 3 2 10 5 1 21 Kg. 10 5 15 304 307 Shyam Lal Chaudhari Ratanpur 7, Kailali 3 3 Kg. 10 10 305 308 Desh Raj Chaudhari Ratanpur 7, Kailali 2 7 20 29 Kg. 15 15 306 309 Ram Narayan Chaudhari Ratanpur 7, Kailali 1 10 11 Kg. 5 5 307 310 Dev Bahadur Chaudhari Ratanpur 7, Kailali 2 2 7 11 Kg. 15 15 308 311 Manu Ram Chaudhari Ratanpur 7, Kailali 4 12 1 17 Kg. 10 10 309 312 Dan Bahadur Chaudhari Ratanpur 7, Kailali 2 1 1 4 Kg. 5 5 310 313 Buddhi Ram Chaudhari Ratanpur 7, Kailali 2 4 1 7 Kg. 5 5 311 314 Kali Ram Chaudhari Ratanpur 7, Kailali 2 3 5 Kg. 15 15 312 315 Janak Lal Chaudhari Ratanpur 7, Kailali 2 4 1 7 Kg. 5 5 313 316 Dhan Bahadur Rana Ratanpur 7, Kailali 7 8 2 17 Kg. 15 15 314 317 Dukha Katariya Ratanpur 7, Kailali 2 3 1 6 Kg. 5 5 315 318 Bishnu Chaudhari Ratanpur 7, Kailali 5 7 4 2 1 19 Kg. 12 12 24 316 319 Panch Ram Chaudhri Ratanpur 7, Kailali 3 3 Kg. 15 15 317 320 Setu Ram Chaudhari Ratanpur 7, Kailali 2 5 1 8 Kg. 10 10 318 321 Shree Muna Devi Chaudhari Masuriya 4, Kailali 2 4 6 Kg. 16 16 319 322 Shree Lohari Chaudhari Masuriya 4, Kailali 2 4 4 1 11 Kg. 12 12 320 323 Bhakta Prasad Adhikari Masuriya 4, Kailali 1 4 5 Kg. 7 7 321 324 Baliram Chaudhari Masuriya 4, Kailali 1 1 4 1 7 Kg. 10 6 16 322 325 Tulshi Devi Pun Masuriya 4, Kailali 2 2 10 2 16 Kg. 12 12 24 323 326 Bidesh Lal Chaudhari Masuriya 4, Kailali 2 10 1 13 Kg. 10 10 324 327 Khusi Ram Chaudhari Masuriya 4, Kailali 1 8 9 Kg. 7 7 325 328 Lachhi Ram Dahit Masuriya 4, Kailali 0 Kg. 0


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326 329 Upendra Kumar Chaudhari Masuriya 4, Kailali 2 12 1 15 Kg. 14 14 327 330 Bam Bahadur Chaudhari Masuriya 4, Kailali 2 8 1 11 Kg. 24 24 328 331 Man Bahadur Chaudhari Masuriya 4, Kailali 2 7 1 10 Kg. 16 16 329 332 Jagat Ram Chaudhari Masuriya 4, Kailali 4 8 1 13 Kg. 20 20 330 333 Laxmi Ram Chaudhari Masuriya 4, Kailali 2 10 12 Kg. 14 14 331 334 Dilli Raj Sapkota Masuriya 4, Kailali 2 1 3 Kg. 16 8 24 332 335 Ram Lal Chaudhari Masuriya 4, Kailali 2 8 1 11 Kg. 12 12 333 336 Dhan Prasad Kadel Masuriya 4, Kailali 3 4 6 13 Kg. 24 32 56 334 337 Bhim Prasad Sapkota Masuriya 4, Kailali 1 1 3 1 6 Kg. 8 8 16 335 338 Pradesh Chaudhari Masuriya 4, Kailali 2 15 1 18 Kg. 10 10 336 339 Bishnu Datta Bhatta Masuriya 4, Kailali 1 2 3 Kg. 6 12 18 337 340 Pahal Rasaili Masuriya 4, Kailali 2 8 1 11 Kg. 16 16 338 341 Om Prakash Khanal Masuriya 8, Kailali 3 8 3 14 Kg. 15 15 339 342 Mamata Lamichhane Masuriya 8, Kailali 1 2 4 2 9 Kg. 5 10 15 340 343 Bali Ram Chaudhari Masuriya 8, Kailali 2 2 Kg. 14 14 341 344 Aitbari Chaudhari Masuriya 8, Kailali 1 1 2 Kg. 12 6 18 342 345 Moti Ram Chaudhari Masuriya 8, Kailali 2 3 5 Kg. 16 16 343 346 Dhukhi Ram Chaudhari Masuriya 8, Kailali 2 8 1 11 Kg. 16 16 344 347 Dhut Ram Chaudhari Masuriya 8, Kailali 2 12 2 16 Kg. 12 12 345 348 Chaman Chaudhari Masuriya 8, Kailali 2 8 2 12 Kg. 16 16 346 349 Gaya Prasad Chaudhari Masuriya 8, Kailali 2 2 12 6 3 25 Kg. 15 12 27 347 350 Chhedu Ram Chaudhari Masuriya 8, Kailali 2 12 6 1 21 Kg. 16 16 348 351 Manta Ram Chaudhari Masuriya 8, Kailali 2 11 5 1 19 Kg. 16 16 349 352 Prasadu Chaudhari Masuriya 8, Kailali 2 8 1 11 Kg. 16 16 350 353 Khusi Ram Chaudhari Masuriya 8, Kailali 6 6 3 15 Kg. 42 42 351 354 Dan Shing Chaudhari Masuriya 8, Kailali 2 10 12 Kg. 14 14 352 355 Mant Ram Chaudhari Masuriya 8, Kailali 2 4 6 Kg. 12 12 353 356 Lawari Chaudhari Masuriya 8, Kailali 2 3 5 Kg. 10 10 354 357 Mani Ram Chaudhari Masuriya 8, Kailali 2 16 1 19 Kg. 18 18 355 358 Sagi Ram Chaudhari1 Masuriya 8, Kailali 0 Kg. 0 356 359 Chet Ram Chaudhari Masuriya 8, Kailali 2 15 1 18 Kg. 16 16 357 360 Sanchiru Chaudhari Masuriya 8, Kailali 2 15 1 18 Kg. 16 16 358 361 Dilli Rawat Pahalmanpur 3, Kailali 3 22 15 40 Kg. 18 18


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359 362 Janjiru Kathariya Pahalmanpur 3, Kailali 4 15 1 20 Kg. 24 24 360 363 Lachu Ram Chaudhari Pahalmanpur 3, Kailali 2 22 1 25 Kg. 10 10 361 364 Bhuddhi Ram Chaudhari Pahalmanpur 3, Kailali 3 20 2 25 Kg. 21 21 362 365 Surya Nath Singh Pahalmanpur 3, Kailali 1 1 2 Kg. 12 6 18 363 366 Baburam Chaudhari Pahalmanpur 3, Kailali 2 2 Kg. 12 12 364 367 Krishna Prasad Chaudhari Pahalmanpur 3, Kailali 3 15 18 Kg. 15 15 365 368 Chandra Kathariya Pahalmanpur 3, Kailali 2 1 3 Kg. 16 16 366 369 Hari Prasad Chaudhari Pahalmanpur 3, Kailali 3 3 Kg. 15 15 367 370 Roina Chaudhari Pahalmanpur 3, Kailali 2 2 Kg. 12 12 368 371 Ram Singh Chaudhari Pahalmanpur 3, Kailali 2 4 6 Kg. 18 18 369 372 Tika Ram Chaudhari Pahalmanpur 3, Kailali 2 10 1 13 Kg. 10 10 370 373 Geet Bahadur Chaudhari Pahalmanpur 3, Kailali 2 9 4 1 16 Kg. 12 12 371 374 Bir Singh Buddha Pahalmanpur 3, Kailali 3 3 Kg. 18 18 372 375 Dil Bahadur Chaudhari Pahalmanpur 3, Kailali 2 25 1 28 Kg. 14 14 373 376 Rajendra Bahadur Sah Pahalmanpur 3, Kailali 2 2 Kg. 17 17 374 377 Ramesh Chaudhari Pahalmanpur 3, Kailali 2 2 Kg. 12 12 375 378 Ram Bahadur Chaudhari Pahalmanpur 3, Kailali 2 6 8 Kg. 10 10 376 379 Bimal Kumar Chaudhari Pahalmanpur 3, Kailali 2 12 14 Kg. 10 10 377 380 Bal Raj Chaudhari Pahalmanpur 3, Kailali 2 8 10 Kg. 12 12 378 381 Indra Bahadur Oli Pahalmanpur 1, Kailali 2 2 Kg. 12 12 379 382 Hari Prasad Acharya Pahalmanpur 1, Kailali 1 1 Kg. 8 8 380 383 Dhani Ram Chaudhari Pahalmanpur 1, Kailali 2 2 Kg. 20 20 381 384 Thagu Ram Chaudhari Pahalmanpur 1, Kailali 2 8 1 11 Kg. 20 20 382 385 Ram Prasad Chaudhari Pahalmanpur 1, Kailali 1 1 Kg. 10 10 383 386 Pandit Ram Chaudhari Pahalmanpur 1, Kailali 2 25 1 28 Kg. 18 18 384 387 Gokarna Chaudhari Pahalmanpur 1, Kailali 2 2 Kg. 16 16 385 388 Santa Ram Chaudhari Pahalmanpur 1, Kailali 1 2 3 Kg. 8 16 24 386 389 Chandra Ram Dagaura Pahalmanpur 1, Kailali 2 1 3 Kg. 14 7 21 387 390 Badhu Ram Chaudhari Pahalmanpur 1, Kailali 2 3 5 Kg. 14 14 388 391 Bhakta Bahadur Tiwari Pahalmanpur 1, Kailali 1 2 7 10 Kg. 10 20 30 389 392 Chabi Lal Khanka Pahalmanpur 1, Kailali 2 2 Kg. 20 20 390 393 Sarbagit Nepali Pahalmanpur 1, Kailali 2 5 7 Kg. 20 20 391 394 Mahanand Sharma Pahalmanpur 1, Kailali 3 4 7 Kg. 15 15 30


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392 395 Narhari Kadel Pahalmanpur 1, Kailali 6 1 7 Kg. 30 30 393 396 Tank Prasad Dahal Pahalmanpur 1, Kailali 1 1 Kg. 10 10 394 397 Jhabilal Nyaupane Pahalmanpur 1, Kailali 1 4 5 Kg. 8 16 24 395 398 Nanda Ram Thapa Pahalmanpur 1, Kailali 5 5 Kg. 20 20 396 399 Lal Bahadur Chaudhari Pahalmanpur 1, Kailali 2 2 Kg. 16 16 397 400 Chheda Lal Chaudhari Pahalmanpur 1, Kailali 2 2 Kg. 16 16

295 920 1364 92 525 138 6 3340 2177 5394 6 3 7555 Total Number of Cattle: 926 Total Number of Cattle per household: 2.949 Total Number of Cattle: 297 Total Number of Cattle per household: 1.897


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Annex 2.6 : The database of the hhs considered in project situation SN Location Plant Number Code number Firewood Consumption (kg) Plant Size

Before After Savings 1 Terai ANBSAR630026 HP11 12 0 12 6 2 Terai ANBSAR630028 HP11 15 2 13 6 3 Terai ANBSAR630067 HP11 12 0 12 6 4 Terai ANBSAR630082 HP11 15 0 15 8 5 Terai ANBSAR630091 HP11 12 5 7 6 6 Terai BBIBAR630022 HP11 20 30 -10 6 7 Terai BBIBAR630030 HP11 30 0 30 8 8 Terai BBIBAR630033 HP11 50 50 6 9 Terai BBIBAR630035 HP11 20 0 20 6 10 Terai BBICHI630011 HP11 3 -3 6 11 Terai BBICHI630014 HP11 35 0 35 6 12 Terai BBICHI630028 HP11 20 0 20 6 13 Terai BBICHI630038 HP11 20 0 20 6 14 Terai BBICHI630039 HP11 35 5 30 6 15 Terai BBICHI630044 HP11 11 2 9 6 16 Terai BBICHI630066 HP11 20 0 20 6 17 Terai BBICHI630069 HP11 15 5 10 6 18 Terai BBICHI630073 HP11 25 5 20 6 19 Terai BBICHI630132 HP11 40 5 35 6 20 Terai BBICHI630138 HP11 20 5 15 6 21 Terai BBICHI630139 HP11 25 25 6 22 Terai BBICHI630140 HP11 20 0 20 4 23 Terai BBICHI630190 HP11 10 2 8 4 24 Terai BBICHI630191 HP11 15 3 12 4 25 Terai BBIDAN630007 HP11 25 2 23 8 26 Terai BBIDAN630009 HP11 20 0 20 8 27 Terai BBIKAN630004 HP11 10 0 10 6 28 Terai BBIKAN630016 HP11 15 5 10 8 29 Terai BBIKAN630023 HP11 40 2 38 6 30 Terai BBIKAN630056 HP11 16 0 16 8 31 Terai BBIKAN630059 HP11 14 0 14 6 32 Terai BBIKIL630004 HP11 7 5 2 8 33 Terai BBIKIL630008 HP11 15 0 15 8 34 Terai BBIKIL630039 HP11 15 0 15 6 35 Terai BBIKIL630040 HP11 12 0 12 6 36 Terai BBIKIL630041 HP11 14 5 9 6 37 Terai BBIKIL630043 HP11 15 0 15 6 38 Terai BBIKIL630048 HP11 18 18 6 39 Terai BBIKIL630064 HP11 45 0 45 6 40 Terai BBIKIL630120 HP11 20 0 20 6 41 Terai BBIKIL630135 HP11 40 0 40 6 42 Terai BBIKIL630136 HP11 50 0 50 6 43 Terai BBIKIL630176 HP11 20 20 4 44 Terai BBIKIL630185 HP11 30 2 28 6


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45 Terai BBIKIL630203 HP11 30 2 28 8 46 Terai BBINAW630023 HP11 10 10 6 47 Terai BBINAW630024 HP11 8 2 6 6 48 Terai BBISAR630015 HP11 0 0 6 49 Terai BCEBAR630004 HP11 15 0 15 6 50 Terai BCEBAR630033 HP11 50 0 50 8 51 Terai BCEBAR630034 HP11 45 0 45 6 52 Terai BCEBAR630035 HP11 70 3 67 8 53 Terai BCEBAR630059 HP11 60 2 58 6 54 Terai BCEKAN630011 HP11 15 0 15 6 55 Terai BCEKAN630012 HP11 15 0 15 6 56 Terai BCEKIL630038 HP11 40 0 40 6 57 Terai BCEKIL630039 HP11 40 3 37 6 58 Terai BGCRUP630003 HP11 15 5 10 6 59 Terai BGCRUP630023 HP11 15 5 10 8 60 Terai BRIKAP630001 HP11 20 20 6 61 Terai BRIKAP630002 HP11 20 20 6 62 Terai BUBBAN630001 HP11 20 3 17 6 63 Terai BUBBAN630023 HP11 40 0 40 6 64 Terai BUBCHI630005 HP11 10 10 6 65 Terai BUBCHI630008 HP11 15 2 13 6 66 Terai BUBCHI630009 HP11 2 -2 6 67 Terai DGGJHA630001 HP11 10 2 8 6 68 Terai DGGJHA630006 HP11 7 2 5 6 69 Terai DGGJHA630031 HP11 8 5 3 6 70 Terai DGGJHA630034 HP11 10 2 8 6 71 Terai DGGJHA630037 HP11 15 1 14 6 72 Terai DGGJHA630081 HP11 7 0 7 6 73 Terai DGGJHA630082 HP11 5 0 5 6 74 Terai EGCBRA630010 HP11 5 10 -5 6 75 Terai EGCBRA630015 HP11 10 0 10 6 76 Terai EGCSAR630006 HP11 60 2 58 10 77 Terai EGCSAR630101 HP11 10 2 8 6 78 Terai EGCSAR630108 HP11 11 2 9 6 79 Terai GGCBAN630003 HP11 12 0 12 6 80 Terai GGCBAN630039 HP11 10 5 5 6 81 Terai GGCBAN630040 HP11 14 14 6 82 Terai GGCBAN630060 HP11 20 0 20 8 83 Terai GGCCHI630011 HP11 0 0 6 84 Terai GGCCHI630012 HP11 15 0 15 6 85 Terai GGCDAN630049 HP11 12 0 12 6 86 Terai GGCDAN630051 HP11 10 0 10 6 87 Terai GGCDAN630074 HP11 12 0 12 6 88 Terai GGCJHA630008 HP11 14 3 11 6 89 Terai GGCJHA630009 HP11 15 2 13 6 90 Terai GGCJHA630047 HP11 8 3 5 6 91 Terai GGCJHA630068 HP11 10 4 6 6


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92 Terai GGCJHA630101 HP11 8 5 3 6 93 Terai GGCKAN630017 HP11 15 3 12 6 94 Terai GGCKAN630027 HP11 15 2 13 8 95 Terai GGCKAN630036 HP11 13 2 11 6 96 Terai GGCKAN630043 HP11 12 0 12 6 97 Terai GGCKAN630044 HP11 12 3 9 6 98 Terai GGCKAN630060 HP11 20 2 18 8 99 Terai GGCKAN630134 HP11 15 5 10 6

100 Terai GGCKIL630006 HP11 10 5 5 6 101 Terai GGCKIL630010 HP11 15 0 15 6 102 Terai GGCKIL630023 HP11 30 0 30 8 103 Terai GGCKIL630049 HP11 10 0 10 6 104 Terai GGCKIL630092 HP11 10 2 8 6 105 Terai GGCKIL630105 HP11 16 5 11 6 106 Terai GGCKIL630111 HP11 15 2 13 6 107 Terai GGCKIL630128 HP11 30 2 28 8 108 Terai GGCKIL630145 HP11 40 4 36 6 109 Terai GGCKIL630160 HP11 15 0 15 6 110 Terai GGCKIL630162 HP11 14 5 9 6 111 Terai GGCKIL630164 HP11 18 0 18 8 112 Terai GGCKIL630167 HP11 30 0 30 6 113 Terai GGCKIL630172 HP11 16 5 11 8 114 Terai GGCMAH630002 HP11 14 5 9 6 115 Terai GGCRUP630008 HP11 15 15 6 116 Terai GGCRUP630009 HP11 15 15 6 117 Terai GGCSUN630004 HP11 0 0 6 118 Terai GGCSUN630009 HP11 0 10 119 Terai GGCTIK630006 HP11 12 0 12 8 120 Terai GGCTIK630008 HP11 20 5 15 8 121 Terai GGCTIK630017 HP11 20 3 17 8 122 Terai GGCTIK630057 HP11 25 10 15 6 123 Terai GPCKAN630001 HP11 9 0 9 6 124 Terai GPCKAN630018 HP11 20 0 20 6 125 Terai GPCKAN630050 HP11 13 0 13 6 126 Terai GPCKAN630097 HP11 12 0 12 8 127 Terai GPCKAN630099 HP11 18 0 18 8 128 Terai GPCKAN630100 HP11 12 1 11 6 129 Terai GPCKIL630041 HP11 12 5 7 6 130 Terai GPCKIL630047 HP11 10 2 8 6 131 Terai GPCKIL630051 HP11 15 0 15 4 132 Terai GPCKIL630053 HP11 10 3 7 6 133 Terai GPCKIL630109 HP11 15 0 15 6 134 Terai GPCKIL630126 HP11 12 0 12 6 135 Terai GPCKIL630140 HP11 12 0 12 6 136 Terai GPCKIL630149 HP11 15 5 10 6 137 Terai GPCKIL630151 HP11 15 15 6 138 Terai GPCKIL630168 HP11 50 0 50 8


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139 Terai GPCKIL630169 HP11 35 0 35 6 140 Terai GPCKIL630171 HP11 40 0 40 8 141 Terai GPCKIL630199 HP11 15 2 13 6 142 Terai GPCRAU630006 HP11 11 5 6 6 143 Terai GPCRAU630035 HP11 10 0 10 6 144 Terai GPCRUP630001 HP11 15 5 10 4 145 Terai GPCRUP630008 HP11 15 5 10 6 146 Terai GPCRUP630013 HP11 30 0 30 6 147 Terai GPCRUP630018 HP11 20 0 20 6 148 Terai GPCTIK630024 HP11 50 0 50 6 149 Terai GPCTIK630026 HP11 40 40 6 150 Terai GPCTIK630104 HP11 45 0 45 6 151 Terai GPCTIK630109 HP11 20 0 20 6 152 Terai HEDCHI630018 HP11 15 2 13 6 153 Terai HEDCHI630053 HP11 17 2 15 6 154 Terai HEDCHI630064 HP11 10 5 5 6 155 Terai HEDCHI630066 HP11 10 10 6 156 Terai HEDCHI630074 HP11 30 2 28 6 157 Terai HEDCHI630078 HP11 25 2 23 6 158 Terai HTCBRA630014 HP11 13 0 13 6 159 Terai HTCBRA630015 HP11 12 2 10 6 160 Terai HTCBRA630017 HP11 8 5 3 6 161 Terai HTCBRA630021 HP11 10 2 8 6 162 Terai HTCBRA630025 HP11 20 0 20 6 163 Terai HTCBRA630077 HP11 7 0 7 6 164 Terai HTCBRA630101 HP11 11 11 6 165 Terai JGGCHI630004 HP11 10 10 6 166 Terai JGGCHI630013 HP11 0 0 6 167 Terai JGGCHI630026 HP11 0 0 6 168 Terai JGGCHI630043 HP11 5 0 5 6 169 Terai JGGCHI630109 HP11 8 2 6 6 170 Terai JGGCHI630112 HP11 15 1 14 6 171 Terai JGGCHI630140 HP11 10 1 9 6 172 Terai JGGCHI630142 HP11 6 2 4 6 173 Terai JGGCHI630216 HP11 6 0 6 6 174 Terai JGGCHI630217 HP11 6 5 1 6 175 Terai JGGCHI630233 HP11 8 0 8 6 176 Terai JPGKAP630007 HP11 20 20 4 177 Terai JPGKAP630008 HP11 16 3 13 6 178 Terai JPGKAP630039 HP11 0 6 179 Terai KBUJHA630010 HP11 15 0 15 6 180 Terai KBUJHA630015 HP11 0 0 6 181 Terai KBUJHA630033 HP11 12 0 12 6 182 Terai KBUJHA630054 HP11 14 0 14 6 183 Terai KBUJHA630061 HP11 12 2 10 4 184 Terai KBUJHA630088 HP11 16 0 16 6 185 Terai KMLJHA630014 HP11 20 1 19 6


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186 Terai KMLJHA630058 HP11 10 1 9 6 187 Terai KMLJHA630063 HP11 15 2 13 6 188 Terai KMLJHA630098 HP11 12 0 12 6 189 Terai KMLJHA630099 HP11 12 2 10 6 190 Terai KMLJHA630109 HP11 10 0 10 6 191 Terai KNTSND630004 HP11 10 0 10 6 192 Terai KNTSND630005 HP11 10 0 10 6 193 Terai KNTSND630021 HP11 10 2 8 6 194 Terai KNTSND630026 HP11 11 0 11 6 195 Terai KNTSND630027 HP11 8 0 8 6 196 Terai KNTSND630028 HP11 18 1 17 6 197 Terai KNTSND630029 HP11 14 1 13 6 198 Terai KRIMOR630005 HP11 5 5 6 199 Terai KRIMOR630009 HP11 4 4 6 200 Terai KRIMOR630021 HP11 0 0 6 201 Terai LECBAN630005 HP11 1 0 1 6 202 Terai LECBAR630005 HP11 50 0 50 6 203 Terai LECBAR630007 HP11 40 40 6 204 Terai LECKAN630005 HP11 2 0 2 6 205 Terai LECKAN630011 HP11 10 10 6 206 Terai LECKIL630009 HP11 60 5 55 8 207 Terai LECKIL630018 HP11 0 0 4 208 Terai LECRUP630001 HP11 20 0 20 4 209 Terai LECRUP630010 HP11 20 0 20 6 210 Terai LOCSUN630039 HP11 14 3 11 6 211 Terai LOCSUN630041 HP11 14 2 12 6 212 Terai MECJHA630040 HP11 12 2 10 6 213 Terai MECJHA630088 HP11 10 2 8 6 214 Terai MECJHA630107 HP11 8 2 6 6 215 Terai MECJHA630109 HP11 10 2 8 6 216 Terai MECJHA630111 HP11 8 2 6 6 217 Terai MECJHA630234 HP11 8 2 6 6 218 Terai MECJHA630238 HP11 4 1 3 6 219 Terai MECJHA630252 HP11 10 2 8 6 220 Terai MECJHA630253 HP11 8 2 6 6 221 Terai MECJHA630254 HP11 10 2 8 6 222 Terai MECJHA630304 HP11 5 2 3 4 223 Terai MECJHA630306 HP11 6 2 4 6 224 Terai MECJHA630307 HP11 8 2 6 6 225 Terai MECMOR630011 HP11 12 0 12 6 226 Terai MECMOR630017 HP11 11 3 8 6 227 Terai MECMOR630036 HP11 15 0 15 8 228 Terai MECMOR630074 HP11 20 3 17 8 229 Terai MECMOR630152 HP11 15 0 15 6 230 Terai MECMOR630153 HP11 20 5 15 8 231 Terai MECMOR630190 HP11 10 3 7 6 232 Terai MECMOR630192 HP11 20 0 20 6


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233 Terai MECMOR630211 HP11 20 3 17 6 234 Terai MECMOR630212 HP11 12 3 9 6 235 Terai MECMOR630213 HP11 15 0 15 6 236 Terai MECSUN630001 HP11 15 3 12 6 237 Terai MECSUN630003 HP11 15 0 15 6 238 Terai MECSUN630014 HP11 20 0 20 6 239 Terai MECSUN630043 HP11 15 3 12 6 240 Terai MECSUN630061 HP11 20 20 6 241 Terai MGCDMK630011 HP11 12 5 7 6 242 Terai MGCDMK630038 HP11 3 -3 6 243 Terai MGCDMK630039 HP11 20 2 18 6 244 Terai MGCDMK630040 HP11 20 0 20 6 245 Terai MGCDMK630046 HP11 8 2 6 4 246 Terai MGCDMK630074 HP11 8 5 3 6 247 Terai MGCDMK630088 HP11 13 0 13 6 248 Terai MGCDMK630089 HP11 20 3 17 6 249 Terai MGCDMK630106 HP11 15 0 15 6 250 Terai MGCDMK630113 HP11 17 17 6 251 Terai MGCDMK630115 HP11 16 0 16 6 252 Terai MGCDMK630142 HP11 0 0 6 253 Terai MGCMOR630004 HP11 10 0 10 6 254 Terai MGCMOR630007 HP11 10 5 5 6 255 Terai MGCMOR630010 HP11 10 0 10 6 256 Terai MGCMOR630015 HP11 20 0 20 6 257 Terai MGCMOR630016 HP11 11 0 11 6 258 Terai MGCMOR630023 HP11 10 5 5 6 259 Terai MGCMOR630052 HP11 12 3 9 6 260 Terai MGCMOR630100 HP11 20 4 16 6 261 Terai MGCMOR630170 HP11 20 0 20 6 262 Terai MGCMOR630218 HP11 22 3 19 8 263 Terai MSGRAU630018 HP11 10 10 6 264 Terai MSGRAU630039 HP11 13 0 13 8 265 Terai MUCNAW630032 HP11 0 0 6 266 Terai MUCNAW630037 HP11 12 0 12 6 267 Terai NDPDAN630008 HP11 15 2 13 8 268 Terai NDPDAN630009 HP11 15 0 15 6 269 Terai NDPDAN630022 HP11 12 12 6 270 Terai NDPDAN630083 HP11 25 0 25 8 271 Terai NKGCHI630012 HP11 0 0 6 272 Terai NKGCHI630024 HP11 10 10 6 273 Terai NKGCHI630091 HP11 11 0 11 6 274 Terai NKGCHI630108 HP11 2 -2 6 275 Terai NKGCHI630129 HP11 10 10 6 276 Terai NKGCHI630130 HP11 10 0 10 6 277 Terai NKGKIL630023 HP11 40 40 6 278 Terai NKGKIL630032 HP11 40 5 35 6 279 Terai NKGKIL630033 HP11 35 0 35 8


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280 Terai NKGNAW630016 HP11 20 0 20 6 281 Terai NKGNAW630040 HP11 20 0 20 6 282 Terai NKGNAW630041 HP11 25 25 6 283 Terai NKGNAW630067 HP11 20 20 6 284 Terai PDGBAR630027 HP11 40 0 40 6 285 Terai PDGBAR630028 HP11 12 5 7 6 286 Terai PDGBAR630089 HP11 14 14 6 287 Terai PDGBAR630090 HP11 20 0 20 6 288 Terai PDGBAR630097 HP11 0 0 6 289 Terai PDGBAR630106 HP11 60 0 60 6 290 Terai PDGBAR630107 HP11 45 0 45 6 291 Terai PDGBAR630108 HP11 40 1 39 6 292 Terai PDGBAR630120 HP11 14 0 14 6 293 Terai PDGBAR630121 HP11 15 3 12 6 294 Terai PDGBAR630144 HP11 20 2 18 6 295 Terai PDGBAR630145 HP11 20 0 20 6 296 Terai PDGRUP630004 HP11 10 0 10 6 297 Terai PDGRUP630011 HP11 8 0 8 6 298 Terai PDGRUP630019 HP11 10 2 8 6 299 Terai PEDJHA630005 HP11 12 2 10 6 300 Terai PEDJHA630012 HP11 9 2 7 4 301 Terai PEDJHA630015 HP11 15 4 11 6 302 Terai PEDJHA630021 HP11 7 2 5 6 303 Terai PEDJHA630074 HP11 15 0 15 6 304 Terai PEDJHA630077 HP11 8 4 4 6 305 Terai PEDJHA630079 HP11 10 4 6 4 306 Terai PEDJHA630097 HP11 8 2 6 6 307 Terai PEDJHA630099 HP11 15 2 13 6 308 Terai PEDJHA630110 HP11 10 2 8 6 309 Terai PEDJHA630120 HP11 10 2 8 6 310 Terai PEDJHA630193 HP11 10 0 10 6 311 Terai PEDMOR630019 HP11 15 0 15 6 312 Terai PEDMOR630058 HP11 12 2 10 6 313 Terai PEDMOR630059 HP11 10 2 8 6 314 Terai PEDMOR630061 HP11 15 0 15 6 315 Terai PEDMOR630063 HP11 7 0 7 6 316 Terai PEDMOR630081 HP11 15 1 14 6 317 Terai PEDMOR630083 HP11 15 10 5 6 318 Terai PEDSUN630001 HP11 7 0 7 6 319 Terai PEDSUN630015 HP11 25 5 20 6 320 Terai PEDSUN630017 HP11 15 5 10 6 321 Terai PEDSUN630033 HP11 25 1 24 6 322 Terai PEDSUN630035 HP11 20 2 18 6 323 Terai PEDSUN630065 HP11 5 1 4 6 324 Terai PEDSUN630069 HP11 6 0 6 6 325 Terai PEDSUN630070 HP11 7 20 -13 6 326 Terai PEDSUN630136 HP11 20 0 20 6


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327 Terai PGCBAN630003 HP11 40 0 40 6 328 Terai PGCBAN630010 HP11 20 0 20 6 329 Terai PGCBAR630003 HP11 50 0 50 6 330 Terai PGCBAR630006 HP11 50 0 50 6 331 Terai PGCBAR630008 HP11 50 0 50 6 332 Terai PGCBAR630044 HP11 10 0 10 6 333 Terai PGCBAR630057 HP11 50 0 50 6 334 Terai PGCBAR630078 HP11 14 14 6 335 Terai PGCBAR630104 HP11 40 0 40 6 336 Terai PGCKIL630012 HP11 30 2 28 6 337 Terai PGCKIL630014 HP11 30 2 28 6 338 Terai PGCRUP630001 HP11 15 0 15 6 339 Terai PGCRUP630012 HP11 10 2 8 6 340 Terai PGCRUP630018 HP11 10 2 8 6 341 Terai PGCRUP630020 HP11 8 0 8 6 342 Terai PGCRUP630084 HP11 10 0 10 6 343 Terai PGCRUP630086 HP11 8 0 8 6 344 Terai PGGNAW630009 HP11 7 0 7 6 345 Terai PGGNAW630010 HP11 20 0 20 6 346 Terai PGGNAW630011 HP11 12 0 12 6 347 Terai PGGNAW630013 HP11 10 0 10 4 348 Terai PGGNAW630035 HP11 10 0 10 6 349 Terai PGGNAW630050 HP11 8 0 8 6 350 Terai PGGNAW630061 HP11 10 3 7 6 351 Terai RAPBRA630011 HP11 6 4 2 6 352 Terai RAPBRA630019 HP11 10 1 9 6 353 Terai RAPBRA630040 HP11 12 2 10 6 354 Terai RAPBRA630042 HP11 6 3 3 6 355 Terai RAPBRA630050 HP11 7 1 6 6 356 Terai RAPBRA630055 HP11 6 2 4 6 357 Terai RAPBRA630065 HP11 6 1 5 6 358 Terai RAPBRA630149 HP11 7 2 5 6 359 Terai RAPBRA630152 HP11 5 1 4 6 360 Terai RAPMAH630003 HP11 10 0 10 6 361 Terai RAPMAH630005 HP11 12 12 10 362 Terai RAPSAR630008 HP11 11 5 6 6 363 Terai RAPSAR630012 HP11 1 -1 6 364 Terai RGGBAN630029 HP11 15 0 15 8 365 Terai RGGBAN630033 HP11 5 0 5 6 366 Terai RGGBAR630038 HP11 45 0 45 6 367 Terai RGGBAR630046 HP11 50 0 50 6 368 Terai RGGBAR630054 HP11 40 40 6 369 Terai RGGBAR630083 HP11 60 60 6 370 Terai RGGCHI630026 HP11 25 25 6 371 Terai RGGCHI630027 HP11 20 20 6 372 Terai RGGCHI630069 HP11 0 6 373 Terai RGGCHI630070 HP11 30 30 6


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374 Terai RGGCHI630073 HP11 25 25 6 375 Terai RGGCHI630087 HP11 5 -5 4 376 Terai RGGCHI630113 HP11 20 5 15 4 377 Terai RGGCHI630122 HP11 20 20 6 378 Terai RGGCHI630153 HP11 20 20 6 379 Terai RGGCHI630155 HP11 0 6 380 Terai RGGCHI630156 HP11 25 0 25 6 381 Terai RGGCHI630161 HP11 20 20 6 382 Terai RGGCHI630171 HP11 20 5 15 6 383 Terai RGGCHI630175 HP11 0 6 384 Terai RGGCHI630259 HP11 20 5 15 6 385 Terai RGGCHI630263 HP11 3 -3 4 386 Terai RGGCHI630265 HP11 25 0 25 6 387 Terai RGGDAN630013 HP11 27 2 25 6 388 Terai RGGDAN630014 HP11 25 2 23 8 389 Terai RGGKAN630001 HP11 8 2 6 6 390 Terai RGGKAN630028 HP11 10 0 10 8 391 Terai RGGKAN630029 HP11 8 0 8 6 392 Terai RGGKAN630036 HP11 12 2 10 6 393 Terai RGGKAN630061 HP11 12 2 10 6 394 Terai RGGKIL630010 HP11 7 0 7 6 395 Terai RGGKIL630016 HP11 18 0 18 6 396 Terai RGGKIL630017 HP11 12 0 12 6 397 Terai RGGKIL630023 HP11 15 0 15 6 398 Terai RGGKIL630024 HP11 12 0 12 6 399 Terai RGGKIL630031 HP11 16 2 14 8 400 Terai RGGKIL630037 HP11 50 0 50 6 401 Terai RGGNAW630027 HP11 25 0 25 6 402 Terai RGGNAW630028 HP11 20 20 6 403 Terai RGGNAW630053 HP11 15 0 15 4 404 Terai RGGRUP630004 HP11 2 -2 6 405 Terai RGGRUP630011 HP11 12 0 12 8 406 Terai RGGRUP630012 HP11 20 0 20 8 407 Terai RGGRUP630023 HP11 20 2 18 8 408 Terai RGGRUP630066 HP11 20 3 17 6 409 Terai RGGRUP630069 HP11 15 2 13 6 410 Terai RGGRUP630072 HP11 15 1 14 8 411 Terai RGGSAR630046 HP11 8 0 8 6 412 Terai RGGSAR630047 HP11 6 0 6 6 413 Terai RGGTIK630001 HP11 60 10 50 8 414 Terai RGGTIK630037 HP11 50 50 6 415 Terai RGGTIK630079 HP11 50 0 50 6 416 Terai RGGTUL630028 HP11 0 0 6 417 Terai RGGTUL630036 HP11 16 0 16 6 418 Terai RGGTUL630038 HP11 25 2 23 8 419 Terai RGGTUL630056 HP11 12 2 10 4 420 Terai SGCJHA630034 HP11 6 2 4 6


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421 Terai SGCJHA630040 HP11 7 0 7 6 422 Terai SGCJHA630041 HP11 10 2 8 6 423 Terai SGCJHA630046 HP11 5 2 3 6 424 Terai SGCJHA630055 HP11 5 5 6 425 Terai SGCJHA630071 HP11 8 1 7 6 426 Terai SGCJHA630081 HP11 3 -3 6 427 Terai SGCJHA630087 HP11 5 2 3 6 428 Terai SGCJHA630100 HP11 12 2 10 6 429 Terai SGCJHA630152 HP11 8 0 8 6 430 Terai SGCJHA630178 HP11 6 0 6 6 431 Terai SGCMOR630001 HP11 8 0 8 6 432 Terai SGCMOR630039 HP11 15 2 13 6 433 Terai SGCMOR630060 HP11 12 3 9 6 434 Terai SGCMOR630069 HP11 15 2 13 6 435 Terai SGCMOR630070 HP11 20 3 17 6 436 Terai SGCMOR630071 HP11 15 0 15 6 437 Terai SGCMOR630072 HP11 20 0 20 6 438 Terai SGCMOR630179 HP11 20 0 20 6 439 Terai SGCSUN630001 HP11 10 10 6 440 Terai SGCSUN630002 HP11 20 1 19 6 441 Terai SGCSUN630009 HP11 3 -3 6 442 Terai SGGBRA630008 HP11 10 0 10 6 443 Terai SGGBRA630053 HP11 15 0 15 6 444 Terai SGGBRA630058 HP11 11 0 11 6 445 Terai SHIJHA630014 HP11 15 5 10 6 446 Terai SHIJHA630016 HP11 14 2 12 6 447 Terai SHIJHA630024 HP11 35 2 33 8 448 Terai SHIJHA630056 HP11 12 2 10 6 449 Terai SHIJHA630078 HP11 10 3 7 6 450 Terai SHIJHA630081 HP11 7 2 5 6 451 Terai SHIJHA630115 HP11 10 3 7 6 452 Terai SHIJHA630121 HP11 10 2 8 6 453 Terai SHIJHA630122 HP11 12 2 10 6 454 Terai SHIJHA630129 HP11 10 2 8 6 455 Terai SHIJHA630133 HP11 12 0 12 6 456 Terai SITRUP630004 HP11 15 2 13 8 457 Terai SITRUP630016 HP11 10 5 5 6 458 Terai SKGJHA630008 HP11 10 0 10 6 459 Terai SKGJHA630014 HP11 20 0 20 6 460 Terai SKGJHA630038 HP11 10 2 8 6 461 Terai SKGJHA630039 HP11 12 2 10 6 462 Terai SKGJHA630086 HP11 15 0 15 6 463 Terai SKGJHA630112 HP11 12 3 9 6 464 Terai SKGJHA630116 HP11 10 1 9 6 465 Terai SKGJHA630127 HP11 10 2 8 6 466 Terai SKGJHA630128 HP11 10 5 5 6 467 Terai SKGJHA630129 HP11 15 2 13 6


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468 Terai SKGJHA630167 HP11 25 4 21 8 469 Terai SKGJHA630219 HP11 15 4 11 6 470 Terai SKGJHA630315 HP11 10 0 10 6 471 Terai SKGJHA630361 HP11 12 0 12 6 472 Terai SKGJHA630362 HP11 16 3 13 6 473 Terai SKGJHA630363 HP11 12 4 8 6 474 Terai SKGJHA630364 HP11 12 2 10 6 475 Terai SKGJHA630365 HP11 10 0 10 6 476 Terai SKGJHA630367 HP11 12 3 9 6 477 Terai SKGJHA630368 HP11 14 0 14 6 478 Terai SKGMOR630016 HP11 15 0 15 6 479 Terai SKGMOR630022 HP11 20 5 15 6 480 Terai SKGMOR630041 HP11 15 0 15 6 481 Terai SKGMOR630045 HP11 25 3 22 6 482 Terai SPGKAN630012 HP11 25 0 25 6 483 Terai SPGKAN630013 HP11 15 2 13 6 484 Terai SPGKAN630017 HP11 12 2 10 6 485 Terai SPGKAN630021 HP11 10 3 7 8 486 Terai SPGKAN630022 HP11 6 2 4 6 487 Terai SPGKAN630032 HP11 13 13 8 488 Terai SPGKAN630039 HP11 8 8 6 489 Terai SPGKAN630042 HP11 20 20 6 490 Terai SPGKAN630099 HP11 30 0 30 8 491 Terai SPGKAN630110 HP11 60 5 55 6 492 Terai SPGKAN630122 HP11 12 4 8 6 493 Terai SPGKAN630195 HP11 20 0 20 8 494 Terai SPGKAN630198 HP11 14 0 14 6 495 Terai SPGKAN630199 HP11 12 12 6 496 Terai SPGKAN630203 HP11 15 5 10 6 497 Terai SPGKIL630004 HP11 30 30 8 498 Terai SPGKIL630005 HP11 30 0 30 8 499 Terai SPGKIL630074 HP11 15 15 6 500 Terai SPGKIL630103 HP11 30 40 -10 6 501 Terai TGGKIL630007 HP11 40 60 -20 6 502 Terai TGGKIL630013 HP11 80 5 75 10 503 Terai TGGKIL630098 HP11 30 5 25 8 504 Terai TGGNAW630010 HP11 45 6 39 6 505 Terai TGGNAW630013 HP11 45 2 43 6 506 Terai TGGNAW630037 HP11 50 50 6 507 Terai TGGNAW630059 HP11 20 20 6 508 Terai TGGNAW630060 HP11 40 40 6 509 Terai TGGNAW630079 HP11 10 -10 6 510 Terai TGGNAW630080 HP11 0 6 511 Terai TGGNAW630107 HP11 60 0 60 6 512 Terai TGGNAW630113 HP11 0 0 6 513 Terai UNODNK630007 HP11 12 0 12 6 514 Terai UNODNK630024 HP11 15 0 15 6


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515 Terai UNODNK630081 HP11 14 0 14 6 516 Terai UNODNK630102 HP11 180 0 180 6 517 Terai UNODNK630105 HP11 8 0 8 6 518 Terai UNOJHA630024 HP11 18 2 16 6 519 Terai UNOJHA630029 HP11 15 15 6 520 Terai UNOJHA630031 HP11 15 15 6

Sr. No. Firewood Plant Location Plant Code Standard Code Before After Saving size (m3) Total 8901 872 8029 3206 Avg (daily) 17.1 1.7 15.4 2.5

Avg (yearly)

(tonnes/household) 6.2478173 0.6120769 5.6357404


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Annex 3

Monitoring Plan


page 121

Appendix 1: No Objection Letter


page 122

Appendix 2: Contract Document


page 123

Appendix 2: Contract Document


page 124

Appendix 3: Legal Rights Approval


page 125

Appendix 4: An Affirmation Letter from WWF


page 126

ACRONYMS

AEPC Alternative Energy Promotion Center BSP-Nepal Biogas Support Programme-Nepal ADBN Agriculture Development Bank, Nepal AIC Agricultural Inputs Corporation BP Biogas Plant BSP Biogas Support Program BSP – N Biogas Sector Partnership Nepal CDCF Community Development Carbon Fund CER Certified Emission Reduction CODEX Consortium of Development Experts DAP Dia Ammonium Phosphate DGIS Directorate General for International Cooperation of the Government of the Netherlands EIA (Integrated) Environmental Impact Assessment (executed by BSP) ER Emission Reduction FIRR Financial Internal Rate of Return G/N Government of Nepal IRR Internal Rate of Return KfW German Development Bank MoP Muriate of Potash NPK Nitrogen, Phosphorous, Potassium NPV Net Present Value NRs Nepali Rupees T/H/R Terai/Hills/Remote Hills


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REFERENCES BSP-Nepal, 2002: An Integrated Environment Impact Assessment, Final Report, Biogas Support Programme, Biogas Support Programme, Kathmandu (quantitative data references to this study have been retrieved from the responses to questionnaires and the survey database) BSP, 2003a : BSP in-house database of all biogas plants sold under its program Bulmer, A, Finlay J, Fulford D & Lau-wong, M., 1985: Biogas: Challenges and experiences from Nepal, Vol 1, United Mission to Nepal Chawla O.P. 1986: Advances in biogas technology. New Delhi: Indian Council of Agricultural Research, 1986 G. P. Devkota, Biogas technology in Nepal, Page 55 IEA/OECD, 2001: “IEA/OECD/UNEP workshop on baselines, May 2001, www.iea.org IPCC, 1996: Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories JT Houghton, LG Meira Filho, B Lim, K Treanton, I Mamaty, Y Bonduki, DJ Griggs and BA Callender (Eds) IPCC/OECD/IEA. UK Meteorological Office, Bracknell Kanel, 1999: Study on FIRR of biogas plants, BSP, Kathmandu Martinot, E., R. Ramankutty and F. Rittner, 2000: “Thematic Review of the GEF Solar PV Portfolio: Emerging experience and lessons”, Global Environment Facility Working Paper, Washington D.C., USA Ministry of Population and Environment, 2001: State of the Environment Nepal, HMG of Nepal Ministry of Forests and Soil Conservation, 1988: Master Plan for the Forestry Sector Nepal, Main Report, HMG of Nepal Ministry of Forests and Soil Conservation, 1999: Forest Resources of Nepal (1987-1998), Department of Forest Research and Survey, Ministry of Forests and Soil Conservation, Forest Resource Information System Project, The Government of Finland, Publication No. 74, Nov. 1999 Kirk R. Smith, R. Uma, V. V. N. Kishore, Junfeng Zhang, V. Joshi, and M. A. K. Khalil, Annu., 2000: Greenhouse Implications of Household Stoves: An Analysis for India, Rev. Energy Environ., no. 25, pp. 741-63, Table 2 SNV-Nepal 2001: Programme Support to Nepal’s Renewable Energy Sector – Volume I, introduction and analysis, Katmandu Violette, 2001: Violette, Dan, 2001, Simplified procedures for the baseline assessment and monitoring of CFL projects, Section 5.4 in J.W. Martens, S.N.M. van Rooijen., V. Bovee, H.J. Wijnants, 2002, Standardised baselines for small-scale CDM activities, ECN-C--01-122, ECN, Petten, the Netherlands Water and Energy Commission Secretariat, 1995: Energy Technology: An Overview and Assessment", 1994/95.

(gs-ver-pdd) wwf nepal gold standard biogas voluntary

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