Inventory Management and Archiving

Swiss System/Procedures

Paul Filliger

Swiss Federal Agency for the Environment, Forests and Landscape

Economics and Climate Section

CH-3003 Berne(paul.filliger@buwal.admin.ch)

UNFCCC Workshop on National Systems, 11-12 April 2005, Bonn

Overview

Today’s inventory management system

• and problems

Future inventory management system

• Design, data collection, preparation, import

• Emission calculation, uncertainties

• Reports, History of data handling

Documentation / Archiving

• Data, methods, decisions/reasons

Remaining problems / Conclusion

Today‘s Inventory Management System

Air Pollution Database EMIS, SAEFL

Swiss Energy Statistics, SFOE SAEFL Internal UNFCCC Greenhouse Gas Inventory

Road Transportation, Waste: Statistics Greenhouse Gas Files CRFand models, SAEFL

Civil/Military Aviation, FOCA/BABLW

Agriculture: Statistics and Models, FOAG / FAL Further National and

LUCF: Forest Statistics and Forest Inventory International Applications

Data from Industry Assoc. and further institut.

EXCEL datasheets

Internal Greenhouse Gas Files

Greenhouse Gas Inventory 2003

1A1 Energy/Transformation

IPCC Source/Sink Categories Consump. CO2 CO2 biom. CH4 N2O NOx CO NMVOC SO2 CO2 CO2 b. CH4 N2O NOx CO NMVOC SO2

TJ 1'000 Gg 1'000 Gg Gg Gg Gg Gg Gg Gg t/TJ t/TJ kg/TJ kg/TJ kg/TJ kg/TJ kg/TJ kg/TJ

1A1 Energy/Transformation 32'418 1.71043 0.966 0.069 0.1336 1.834 0.592 0.0638 1.2901A1 a Electricity/Heat 21'893 1.055 0.044 0.12728 1.157 0.434 0.039 0.2041A1 ai Electricity 0 0 0 0 0 0 0 0

LFO 73.50 1 0.6 37 11 2 33 HFO 77.00 4 0.8 125 1 2 383 Gas 55.00 6 0.1 28 14 2 0.5 Coal 94.13 9 1.6 200 100 9 500

1A1 aii Combined Heat/Electricity 21'893 1.0550 0.044 0.12728 1.157 0.434 0.03928 0.204 48.19 2.0 5.8 53 20 2 9 LFO 682 0.0501 0.0007 0.000409 0.0252 0.0075 0.0014 0.0224 73.50 1 0.6 37 11 2 33 HFO 77.00 4 0.8 125 15 4 383 Gas 6'736 0.3705 0.040 0.00067 0.189 0.094 0.013 0.003 55.00 6 0.1 28 14 2 0.5 Coal 94.13 9 1.6 200 100 9 500 Biomass 160 0.015 0.00336 0.000256 0.0224 0.0800 0.00112 0.0032 92 21 1.6 140 500 7 20 Other (waste incineration) 14'315 0.634 0.952 0.0000 0.1259 0.9212 0.2519 0.0233 0.1749

1A1 b Petroleum Refining 10'525 0.655 0.0246 0.0063 0.6762 0.1579 0.0246 1.0859 HFO 1'769 0.1362 0.0044 0.00106 0.1946 0.0265 0.0044 0.8670 77.00 2.50 0.6 110 15 2.5 490 Gas (LPG) 8'756 0.5192 0.0201 0.00525 0.4816 0.1313 0.0201 0.2189 59.30 2.30 0.6 55 15 2.3 25

Proceeding: Activity rates stem from GEST (split-calculation in file "FUELS" of LA). Aggregated emission factors from "Emissionsfaktoren; neue CO2-Werte". Actual emissions calculated with actual activity rates and these emission factors.The fraction of stationary motors is so small compared to the total in each fuel, that aggregated emission factors are those from combustion boilers.Petroleum refining with emission factors from EMIS (exception CO2 and N2O LPG); emission factors between 1990 and 1995 interpolated (1995: retrofitting done). Activity rates HFOand LPG from "J ahresberichte Erdölvereinigung".Emissions calculated by multiplying activity rates with emission factors.

Sulfur contents: LFO: 0.0700% HFO: 0.7900%

Energy Consump. Emissions Emission factors

Comments

IPCCcategories

relevant cells linked to CRF

Advantage of old system

• Simple and stupid, and it works

Problems

• System has grown to a vast, almost un-manageable size (>100 tables, thousands of links)

• Modifications possible, but very error sensitive

• Yearly up-date is hard work

• Knowledge about structure is concentrated to the developer’s head

EMISEMISDatabaseDatabase

UNFCCCUNFCCCCRF TablesCRF Tables

UNECE/UNECE/EMEPEMEP

nationalnationalRequire-Require-

mentsments

Reporting Obligations

Expert Information

Energy

Transport

Industry

Agriculture

Waste

MESAP Information System

ExcelExcelImporterImporter

ExcelExcelAnalystAnalystCalQlatorCalQlator

Design of future Inventory Management System

ACCESS

Data – Collection 1

Input derived from Data surveys Emission measurements Calculations and

modeling Literature studies and

assumptions

Data compilation per

source category

Data – Collection 2

Compilation files includes List of treated air

pollutants (climate + air) Definitions and

description of model /

calculation Time series of activity

data (incl. projections) Emission factors References

Data preparation

Definition of import

format Automatic

plausibility checks Unit conversion (SI) Documentation

EMISEMISDatabasDatabas

ee

Data import in System User Defined Data

Views Automatic import or

copy/paste User-guided

plausibility checks

EMISEMISDatabasDatabas

ee

Emission Calculation

Activity rate · Emission

Factor Equation editor Visualization of

calculation result

Implementation of uncertainty information

EMISEMISDatabasDatabas

ee

Compile Reports MS Excel Environment Hot-Links to Database Shift inventory year Data link to former

database versions for

recalculation

History of Data handling

Archiving of data

• Inventory database integrated in governmental data processing system (closed environment with high security demands)

• Backups and security on high standard (shadowed disks, daily backups, two different servers at two different locations, daily update of virus software etc.)

Archiving of data is not a problem

Archiving/Documentation of methods

Two pillar strategy:

1) All methods should be documented (or at least referenced) in the MESAP information systemi) through documentation in compilation filesii) through calculation procedures in the CalQlator

2) A comprehensive (reader friendly) overview is given in the National Inventory Report (NIR) (Annexes for details)

Archiving of background information(incl. decisions/reasons)

• Includes all “soft” data, which are indirectly linked to data in EMIS or NIR, e.g. - Annual reports from industry (activity data)- Reports about methods (referenced in EMIS, NIR)- Reasons of selection of methods, activity data- Documentation of decisions made during inventory preparation

Remaining problems

• Archiving of background information, mainly decisions / reasons

• Inclusion of LULUCF data in EMISLand use change data is different in structure from emission data

Inventory preparation and production will remain a step by step improving process which will (probably) never find the final top-level product. Pragmatic, country-adapted solutions are needed.

Conclusion