Promoting Rehabilitation of Hydro Power Plants to Mitigate Climate Change in Indonesia P resentat ion Mater ial Confidential Do Not Copy 2012 METI JCM FS Program February 21th, 2013
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Promoting Rehabilitation of Hydro
Power Plants to Mitigate ClimateChange in Indonesia
Presentation MaterialConfidential
Do Not Copy
2012 METI JCM FS Program
February 21th, 2013
7/28/2019 13_B04_Recycle1_IndonesiaFSReportingMeeting
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1Confidential
1) Project OverviewOverview of JCM FS on HPP Rehabilitation
* Measuring, Reporting and Verifying
z Rehabilitation of PLN’s, IP, PJB hydro
power plants (HPPs) in Indonesia.
z Improved power generation and cost
savings by rehabilitation of turbines
and generators at aging and inefficienthydro power plants.
z Pilot case studies atSaguling,
Soedirman, and Sutami HPPs inFY2011.
z Further investigation and planning for rehabilitation at Sagul ing, and survey
of 13 additional HPPs in Indonesia toidentify priority in FY2012.
z Development of a new MRV*
methodology based on the powergeneration efficiency factor.
z J oint development of proposals for
policy/ institutional measures forpromoting HPP rehabilitation.
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1) Project OverviewImages of HPP Rehabilitation
2
Stator core/coil Runner Guide vane
Control system,Governor, AVR…
B ef or e
Af t er
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1) Project OverviewEfficiency Improvement and Output Increase
1.0
1.00.5
0.8
Power increase
Relative turbine output
R
e l a t i v e t u r b i n e e f f i c i e n c y
( Improvement of cavitation )
Conventional runner
New concept runner
Reduction of efficiency due to wear on
sealing faces and erosion of blade faces
during longstanding Operation
Conventional runner (after longstanding operation)
Efficiency
improvement
2%
1.5%2.5%
4%
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1) Project OverviewSite Inspection
9 MW * 2 Units1993 Tulungagung HPP
Soedirman HPP
East J ava
West J ava
Small hydro nearSaguling
6 MW * 4 Units1929,1955Mendalan HPP
5 MW * 1 Units1973Selorejo HPP
10 MW * 3units1973RiamKanan HPP
1 MW * 3 units1923BengkokHPP
7 MW * 3 units1924,1934Lamajan HPP
7 MW * 3 units1961Cikalong HPP
27 MW * 2units1978,1979Wlingi HPP
15 MW * 2 units1988Sengguruh HPP
35MW * 3units1973,1976Sutami HPP (1)6 MW * 1, 14MW * 12005BiliBili HPP
175 MW * 4units1985,1986Saguling HPP*
60 MW * 3 Units
7 MW * 1 Units
4 MW * 3 Units
5 MW * 1 Units
Installed capacity
1988
2002Wonorejo HPP
1931,1955Siman HPP
1984Lodoyo HPP
Initial year of operation Target Hydro Plant
z Investigated 15 HPPs for rehabilitation and developed proposals.(Saguling, Soedirman, and Sutami HPPs were investigated in FY2011)
* Saguling HPP was investigated in FY2012 study also.
Investigated in FY2011
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2) Reference ScenarioSetting Reference Scenario
1.0
1.00.5
0.8
Relative turbine output
R
e l a t i v e t u r b i n e e f f i c i e n c y
After rehabilitation
(after operation)
Reduced effic iency from
long operation
BaU
(after longer operation)
=Project scenario
Before rehabilitation
=Reference scenario
Original
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3) Monitoring MethodProject Boundary and Monitoring Points
Reservoir
Turbine
Water f low
Electricity flow
Project boundary
Grid Other power plants
Generator
Site boundary
Monitoring points
1. Quanti ty of
net electricity generated2. Quanti ty of water used
for power generation
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3) Monitoring MethodMonitoring Data, Frequency, Method and Scheme
z Annual default value provided by host country, dverified by a third party.
zMeasured by water flow meterz Archived electronically.
zMeasured by power meterz Archived electronically.
Measurement/Archive
Yearly
Monthly
Monthly
Frequency
tCO2/MWh
m3
MWh
Unit
GHG emission factorof the grid in year y
3
Quantity of water forgeneration in year y
2
Quantity of netelectricity generated
fed into in year y
1
DescriptionID
Monitoring data
Monitoring scheme
Operation & maintenancedepartment head
General manager
・・・
・・・Operator Operator ・・・
Electricity meter Water flow meter
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4) MRV MethodologyEligibility Criteria
New backup power supplies are not installed with the rehabilitation activities.Condition 7
When there are rehabilitated equipments substituted by rehabilitation activities, those
equipments are not diverted to other activities.
Condition 6
(Only when using the Calculation Method 2). The rehabilitated hydroelectric power station has a power generation operation recordfor five years or more.
Condition 9
(Only when using the Calculation Method 1). The rehabilitation is not implemented within the past twenty years, and water turbine isrehabilitated.
Condition 8
The rehabilitated equipments used in the project is not diverted from other activities.Condition 5
After the project implementation, amount of electricity generation and waterconsumption can be monitored.
Condition 4
When the rehabilitated hydroelectric power station has a reservoir, power density islarger than two in 4W/m.
Condition 3
The rehabilitated hydroelectric power station is connected to the grid.Condition 2
Existing hydroelectric power station with output of one MW or more is rehabilitated.Condition 1
Proposed eligibility criteria identifies the technology used in and the sector of subject projects and eliminates the possibility of leakage.
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4) MRV MethodologyCalculation Methods
Either a simple calculation method using conservative default values ora sophisticated calculation method using project specific values can be selected.
Calculation using aproject specific valueis performed.
Calculation Method 2:
Project specificvalues
The data of amount of water and aproduction of
electricity is held (forthe past 5 years).
Calculation Method 1:
Conservative defaultvalues
Yes
Yes No
No
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4) MRV MethodologyCalculation for GHG Emission Reductions
y y y y LE PE BE ER −−=
y,2, co y Add y EF EG BE ×=
)(,, historicalhistorical yPJ y Add GF GF GF σ +−=
)(0 default PE y=
)(0 default LE y =
High generation
efficiency as a resultsof the rehabilitation
Low generation
efficiency before the
rehabilitation
nWQ
EGGF
n beforeybeforePJ
beforeybeforePJ
historical
1
,
,×=∑
yPJ
yPJ
yPJ WQ
EGGF
,
,
, =
yPJ y Add y Add WQGF EG ,,, ×=
A conservative defaultvalue for the efficiencyimprovement rate is
provided for CalculationMethod 1.
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4) MRV MethodologyDefinitions of Parameters
z Standard deviation of the annualaverage historical generationefficiency factor before therehabilitation (MWh.m3)
z Additional generation efficiencyfactor compared historical in year y(m3/MWh)
z Annual average historical generationefficiency factor before therehabilitation (MWh/m3)
z Historical data for at least 5 years isneeded
z Generation efficiency factor as aresult of the rehabilitation in year y
(MWh/m3)
z Quantity of water for generationbefore the rehabilitation in year y(m3/y)
z Quantity of water for generation as aresult of the rehabilitation in year y
(m3/y)
z GHG emission factor of the grid inyear y (tCO2e/y)
DescriptionParameter
z Additional quantity of net electricitygeneration compared before therehabilitation in year y (MWh/y)
z Quantity of net electricity generationfed into the grid before therehabilitation in year y (MWh/y)
z Quantity of net electricity generationfed into the grid as a result of the
rehabilitation in year y (MWh/y)
z Leakage emissions in year y(tCO2e/y)
z Default value is 0.
z Project emissions in year y (tCO2e/y)
z Default value is 0. Since thismethodology is available for therehabilitation for the hydropowerstation whose power density is lessthan 4 W/m2, CH4 from its reservoir is
neglected
z Baseline emissions in year y(tCO2e/y)
z Emission reduction in year y(tCO2e/y)
DescriptionParameter
y ER
y BE
y LE
y Add EG ,
yco EF ,2
y Add GF ,
yPJ GF ,
historicalGF
historicalσ
yPJ EG ,
yPE
beforeybeforePJ EG ,
beforeybeforePJ WQ ,
yPJ WQ ,
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4) MRV MethodologyDefault Values for Calculation Method 1
Tentativedefault value Premises for tentative default value
Efficiency
improvement
rate
GHG emission
factor of the
grid
z According to a study of rehabilitated 40 HPPs in
J apan, simple and weighted averages of improvement rates were 5.5% and 4.5% respectively.
z When standard deviation is taken into account, theimprovement rate was 1.1%.
z Based on Toshiba’s experience, at least 2.5%improvement can be expected when water turbineover 20 years is rehabilitated.
1.1%
to
2.5%
z Suggested by DNPI
EF of
each gridpublished
by DNPI
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5) GHG Emission ReductionGHG Emission Reduction of Saguling HPP Rehabilitation
ERy [tCO2e/y] = { GFPJ,y – (GFhistorical + historical ) } [MWh/m3]
x WQPJ,y [m3/y] x EFco2,y [tCO2e/MWh]σ
Assumptions:
(1) Improvement in Generation efficiency: +4%
GFPJ,y [MWh/m3] = (1+0.04) x GFhistorical [MWh/m3]
(2) Historical generation efficiency: Average for the past 5years*
(3) Quantity of water: Average for the past 5 years*(4) Grid : JAMALI
EFco2,y [tCO2e/MWh] = 0.891** [tCO2e/MWh]
ERy [tCO2e/y] = { 0.943767 – ( 0.907469 + 0.009429 ) } [kWh/m3] / 1,000 [MWh/kWh]
x 2,840,555,678 [m3/y] x 0.891 [tCO2e/MWh]
= 68,005 [tCO2e/y]
* 2007-2011** National Council on Climate Change(NCCC)
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5) GHG Emission ReductionGHG Reduction Potential through HPP Rehabilitation
*Each level of reduction effect is assumed as same as Saguling HPP
*. Improvement rate: Saguling HPP:4%, the other HPP: each default value )
1.1%2.5%4.0%4.5%
126,568
19,771
1,967
7651,311
2,623
546
546
5,901
3,278
11,475
2,185
3,278
3272,295
2,295
68,005
120,061
17,574
1,748
6801,165
2,331
485
485
5,246
2,914
10,200
1,943
2,914
2912,040
2,040
68,005
100,538
10,984
1,092
425728
1,457
303
303
3,278
1,821
6,375
1,214
1,821
1821,275
1,275
68,005
4,83260.3 MW * 3 UnitsSudirman J awa Tengah
4809 MW * 2 Units Tulungagung HEPP
68,005175 MW * 4unitsSaguling HPP
7 MW * 1 Units4 MW * 3 Units
6 MW * 4 Units
5 MW * 1 Units
5 MW * 1 Units
27 MW * 2units
15 MW * 2 units
35 MW * 3units
6 MW * 1、14MW
* 1
10 MW * 3units
1 MW * 3 units7 MW * 3 units
7 MW * 3 units
Installed capacity
Total
East J ava
West J ava
Small hydronear Saguling
641Mendalan HEPP
133Selorejo HEPP
801RiamKanan HPP
80Bengkok HEPP561Lamajan HEPP
561Cikalong HEPP
1,442Wlingi HPP
801Sengguruh HEPP
2,805Sutami HPP
534BiliBili HEPP
82,316
187320
133
GHG Emission Reduction each Improvement rate*
Wonorejo HEPPSiman HEPP
Lodoyo HEPP
Target Hydro Plant
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6) Moving ForwardRehabilitation Plans and Scale of Investment
Efficiency Output
Saguling HPP
(Total)175MW * 4
・New runner design.
・Replacement of runners and
related turbine parts.
+4%
(+28MW)
+2%
(+14MW)34 million USD
Saguling HPP
(1 unit)175MW
・New runner design.
・Replacement of runners and
related turbine parts.
+4%
(+7MW)
+2%
(+3.5MW)10 million USD
Soedirman HPP 60.3MW * 3
・New runner design.
・Replacement of runners and
related turbine parts.・Modifications of some vanes
and valves.
+2%
(+4.8MW)
+1%
(+2.4MW) 19 million USD
Sutami HPP 36MW * 3
・New runner design.
・Replacement of runners and
related turbine parts.
・
Modifications of some vanesand valves.
+5%
(+5.4MW)- 15 million USD
Lamajan HPP 6.52MW * 3
・Consolidation of 3 units to 2
units.
・Replacement of turbines,
generators, and others.
- +21.4MW -
HPPImprovement Scale of
investmentRehabilitation plan
Installed
capacity
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6) Moving ForwardExample of Project Implementation Time Frame
Year1 Year2 Year3
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
36 month
zModel Test
zDesignzProcurement
zManufacturingz Test
z Transportation
zConstructionz Trial run and
adjustment
Contract
Completion