target setting methodology for power sector in perform, achieve & trade mechanism
TRANSCRIPT
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7/29/2019 Target Setting Methodology for Power Sector in Perform, Achieve & Trade Mechanism
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Target Setting Methodology for Power sector inPerform, Achieve & Trade (PAT) Mechanism
A.K.ASTHANA
Sr.Technical Expert
German Technical Co-operation (GTZ)Bureau of Energy Efficiency (BEE)
PAT Capacity Building2, Aug 11, Mumbai
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NATIONAL MISSION ON
ENHANCED ENERGY EFFICIENCY (NMEEE)
The National Action Plan on Climate Change wasreleased by Honorable Prime Minister of India in June
2008
The Action Plan Outlines 8 Missions including NationalMission on Enhanced Energy Efficiency (NMEEE)
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NMEEE. 4 new initiatives
The market based mechanism to enhance costeffectiveness of improvements in EE in energy intensiveindustries through certification of energy saving whichcan be traded. (Perform, Achieve & Trade) Accelerating the shift to energy efficient appliances in
designated sectors through innovative measures to makethe product more affordable
Creation of a mechanism that would help finance DSMprograms in all sectors by capturing future energy saving
Developing fiscal instruments to promote energyefficiency
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Large Energy Usage Bandwidth
The energy usage pattern varies widely in industries of a particular
sector due to various diversities like
- Scale of Production (Installed Capacities)
- Use of Raw Material
- Process Technology
- Vintage of Technology - O & M Practices
- Type of Product Output etc.
Factors of Diversity Most Affected Sectors
a) Raw Material Input Pulp & Paper, Fertilizer, Power Plant, Textile
a) Quality of Raw Material / Fuel All sectors
a) Process & Technology Aluminium, Iron & steel, Chlor-Alkali, Paper
a) Final Product output Textile, Iron & Steel, Aluminium
a) Vintage All Sectors
a) Capacity Utililization All sectors
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Thermal Power Plants in PAT - I
Total No of DCs = 142
Threshold limit to be DC = 30,000 tons of oil equivalent
(TOE) per annum
Total Target Set = 3.1 MTOE
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61,63%
36,37%
Distribution of No. of DCs
State
Central /Private
45026, 57%
33416
, 43%
Capacity(MW)
State
Central /Private
Gas FiredCoal/Lignite Fired
21,52%
19,48%
Distribution Of No. of DCs
State
Central /Private
4873,
39%7507,61%
Capacity(MW)
State
Central /Private
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Targets in PAT - I
Variation in Net Station Heat
Rate from Design Net Heat
Rate
% Reduction Target
for Deviation in Net
Station Heat Rate(%)
Fuel
No. Of
DCs
Target
Reduction
Range(Kcal/KWh)
Target Savings
(TOE)
Up to 5 % 10 %
Coal/Lignite
Gas
21
20
0 12.8
0 9.64
140874
24297
More than 5% and Up to 10 % 17 %Coal/Lignite
Gas
20
12
21.2
48.2
17.9 48.1
354383
51049
More than 10% and Up to
20%
21 %
Coal/lignite
Gas
30
4
53 130
50 - 81
1036138
33550
More Than 20 % 24 %
Coal/Lignite
Gas
26
4
128 - 528
86 - 220
1388111
62141
Sub Total 137 3090543
*Additionally there are 5 diesel plants where the target has been calculated on the basis of KWh/ Litre.
Total 142 3094670(3.1MTOE)
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Power Plants have Focused in
Reduction in APC Improvement in HR
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Example of Heat RateDeviation in Power Station
Sl.No
Coal Based Power Station DesignHeatRate
Averageof Actual
for 3Years
Variationfrom
DesignValue %
AverageAuxiliaryPower
Consumption%
AveragePLF %
1. 4 x 500 MW 2234 2350 5.19 6.79 90
2. 2 x 500 MW 2228 2358 5.84 5.69 90
3. 5 x 200 + 2 x 500 MW 2312 2399 3.78 7.1 88
4. 3 x 200 + 3 x 500 + 1 x 500 MW 2250 2368 6.06 6.26 88
Sl.No
Coal Based Power Station DesignHeatRate
Averageof Actual
for 3Years
Variationfrom Design
Value %
AverageAuxiliaryPower
Consumption%
AveragePLF %
1. 4 x 210 MW 2274 2409 5.95 7.37 952. 4 x 210 MW 2301 2432 5.7 8.79 90
3. 2 x 210 + 2 x 210 + 1 x 210 2295 2412 5.08 8.2 90
4. 5 x 250 MW 2234 2498 6.67 NA NA
5. 2 x 250 MW 2227 2285 2.58 NA NA
6. 6 x 210 MW 2301 2390 3.87 NA NA
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Target Setting of Power Plants for PAT Mechanism would mainly
depend upon Net Heat Rate (NHR) to include both i.e. GHR &
APC
Net Heat Rate = Gross Heat Rate / (1- APC%)
Parameter Plant-1 Plant-2
Gross HR(GHR) 2500 Kcal/Kwh 2500 Kcal/Kwh
APC 8% 10%
Net HR (NHR) 2717(= 2500/0.92)
Kcal/Kwh
2777(=2500/0.90)
KCal/Kwh
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Parameter to be Considered for Target Setting
Annual Generation (MUs) & PLF(%)
Design Gross Station Heat Rate (Kcal/Kwh)
Annual Operating Gross Station Heat Rate (Kcal/Kwh)
Annual Operating Auxiliary Power Consumption (%)
Quality of Coal i.e.Average GCV (Kcal/Kg) & Ash Content(%)
Or
Average GCV of Gas used
Annual Quantity of Coal Consumed in Tonnes (M of Gas in caseof Gas Plants)
Annual Quantity of Secondary Oil Consumed in Tonnes
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Example - 1 Installed Capacity = 420MW
Station Design Heat Rate = 2450 Kcal/Kwh
Annual PLF = 55.72 %
Annual Average Operating Station Heat Rate = 2650 Kcal/Kwh
Average APC = 9.7 %
Annual Production in MUs = 2050.28
Net Operative Heat Rate = 2936.29
Net Design Heat Rate = 2714.68
Deviation from Design NHR = 221.61
% Deviation = 8.16 Target % Reduction = 17% of Deviation = 17 % of 221.61= 37.67
Target NHR Reduction : 37.67 Kcal/KWh
Reduction Target in TOE = 6970.95
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Higher Target Potential DCs
State Owned TPP
S.No. State Total No. of DCs No Of DCs( Having Higher Target) Capacity (MW) Net Generation (MU) inBaseline Year Target (Savings) in TOE
1 Gujarat 12 1 1470 10844 67230
2 Haryana 2 1 1367 8954 150244
3 Karnataka 2 2 1970 12375 107590
4 M.P 3 3 2932.5 15363 268371
5 Maharastra 9 5 5770 33537 441889
6 Punjab 3 1 1260 9008 82839
7 Rajasthan 4 1 1080 3612 59354
8 Tamil Nadu 9 1 600 3632 117839
9 U.P 5 1 1382 4466 57902
10 West Bengal 7 1 1260 6632 93328
Sub Total 56 17 19092 108423 1446585
Central Owned TPP
S.No. Region No. of Plants Capacity (MW) Net Generation (MU) Target (Savings) in TOE
1 Tamil Nadu 2 1 1470 9627 69440
Total 58 1820562 (22 % OF
Total Capacity)
118050 (21 % of Total
Gen.)
1516025 (49 % of Total
TOE)
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1470 1367 19702932
5770
1260 1080 6001382 1260 1470
10844
8954
12375
15363
33537
9008
3612 36324466
6632
9627
67230
150244
107590
268371
441889
82839
59354
117839
57902
9332869440
25000
75000
125000
175000
225000
275000
325000
375000
425000
475000
0
5000
10000
15000
20000
25000
30000
35000
40000
Capacity (MW)
Net Generation (MU)
Target ( Savings) in TOE
Higher Target Potential DCs Capacity(MW), Net
Generation(MU) & Target(TOE)
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