estimation of the externalities in cuba using simplified...
TRANSCRIPT
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Estimation of theEstimation of theExternalities in CubaExternalities in Cubausing Simplifiedusing SimplifiedMethodologiesMethodologies
Workshop on the use of the SIMPACTS model for estimating human healthand environmental damages from electricity generation
ICTP, TriesteMay 12-23, 2003
Prepared by Leonor Turtos Carbonell, CUBAENERGIA,[email protected]
Cuba For a sustainable energy
development
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Why?Why?
•• Calculations of the external costs of current andCalculations of the external costs of current andcandidates power plants in Cubacandidates power plants in Cuba
•• Integration of the external costs in energy planningIntegration of the external costs in energy planningstudiesstudies
•• Evaluation of mitigation strategies:Evaluation of mitigation strategies:
–– abatement technologies abatement technologies
–– alternatives energy sourcesalternatives energy sources
–– dispatching decisionsdispatching decisions
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Installed capacity structure andgeneration
Gas Turbine Natural Gas
4 %
Gas Turbine-Diesel2 %
Hydro1 %
Industrial Co-generation
17%
Isolated plants2 %
Oil Steam Boiler74%
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Studies Cases: Current plantsStudies Cases: Current plants
•• Oil Steam Boiler Oil Steam Boiler with capacity of 50 MW orwith capacity of 50 MW ormoremore–– 95.7 % of all OSB in our NES95.7 % of all OSB in our NES
–– 71.3% of the national electricity generation71.3% of the national electricity generation
–– 29 units grouped in 14 stacks and 9 power plants29 units grouped in 14 stacks and 9 power plants
•• Combustion TurbinesCombustion Turbines
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•• Two Oil Steam BoilerTwo Oil Steam Boiler
•• Combined Cycle of GasCombined Cycle of Gas
•• Biomass facilitiesBiomass facilities
•• Nuclear Power PlantNuclear Power Plant
Studies Cases: CandidatesStudies Cases: Candidates
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FuelsFuels•• Fossil FuelsFossil Fuels
–– Fuel Oil: 3.5 % SFuel Oil: 3.5 % S
–– Domestic Crude Oil: 6.65 % SDomestic Crude Oil: 6.65 % S
–– Mix: 4.64 % SMix: 4.64 % S
–– GasGas
•• RenewalRenewal–– BagasseBagasse
•• Nuclear FuelNuclear Fuel
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Combustion Turbine
Biomass
Oil Steam Boiler
Hydro
100M, 50M
64T764R4 300, V330
35En, CCgas
125, 64DO, 50DO
250
100R, 50R
158
100H, HB4
Nuclear
Facilities LocationFacilities Location
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Impact PathwayImpact Pathway
•• Public HealthPublic Health
•• Agricultural CropsAgricultural Crops
•• Air PollutionAir Pollution •• Water pollutionWater pollution
•• QualitativeQualitativeassessmentassessment
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Source term: updated DECADESSource term: updated DECADESSystemSystem
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Dispersion ModelsDispersion Models QueriQueri Best Best EstimatEstimat..
ISCST2ISCST2BerlyandBerlyand: : NC 39: 1999NC 39: 1999
ISCLT2ISCLT2
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Meteorological DataMeteorological Data• In an entire year of typical behavior in 8
Meteorological Station– wind speed and direction
– ambient air temperature
Bahia-Honda
0%
5%
10%
15%
20%0
22.5
45
67.5
90
113
135
158
180
203
225
248
270
293
315
338
Morón
0%
5%
10%
15%
20%0
22.5
45
67.5
90
113
135
158
180
203
225
248
270
293
315
338
Santiago de Cuba
0%
5%
10%
15%
20%
25%0
22.5
45
67.5
90
113
135
158
180
203
225
248
270
293
315
338
North CoastNorth Coast InlandInland South CoastSouth Coast
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Exposure Response FunctionsExposure Response Functions
•• ExternE_1995ExternE_1995
•• QueriQueri
•• ExternE_2000ExternE_2000
MortalityMortalityMorbidityMorbidity
• baseline incidence rate:– in AM: 0.71
– in CM in adults older than30 years: 14.2
• loss of life:– AM: 9 months
– CM: 9 years
• Adults 79
• Children 21
• Adults + 30 years old 56
• Elder 9
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Monetary Damage: transfer
STUDY REF
CUBA
GNP PPPGNP PPP
Damage ∝ E=1E=1
SensitivitiesSensitivitiesstudiesstudies
• A/M YOLL 34518.50
• RHA 1752.65
• CM (adults +30years) 18780.28
• Cough 1.55
• LRS; wheezing 1.67
• Symptom days 1.67
US$/case
Rajt=0.17
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Regional population density: 15
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Local Population: 10 X 10Local Population: 10 X 10
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SUWM vs RUWM vs QUERI vs URBANSUWM vs RUWM vs QUERI vs URBAN100H100H
0
20
40
60
80
ID=0 10 55 40 22 52 51 39
ID=5 10 55 40 22 65 56 39
SUWMRUWM Interm
RUWM Best
URBAN
Queri Est.1
Queri Est.2
Queri Est.3
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SUWM vs RUWM vs QUERI vs URBANSUWM vs RUWM vs QUERI vs URBAN64T764T7
0
5
10
15
20
25
ID=1 2 11 11 11 12 20
ID=3 2 11 11 11 14 20
SUWM
RUWM Est.
RUWM Est.
Queri Est.1
Queri Est.2
Queri Est.3
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ρρlocallocal andand ID siteID site
Power Plants Local density ρloc / ρreg ID teor ID
Mariel 241.7 16 3 0Santa Cruz 245.6 16 3 0
Antonio Guiteras 56.8 4 1 0C.M. de Céspedes 59.6 4 1 0
Nuevitas 24.9 2 1 0Felton 66.9 4 1 0Renté 97.8 7 2 0
Tallapiedra 275.5 18 3 1Regla 273.7 18 3 1
Energas 52.6 4 1 0Bio 69.7 5 1 0
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External Costs(US$/ton), ISCLT2
model
0
50
100
150
200
250
300
350
400
450 SOx, NOx ($/ton)
0
500
1000
1500
2000
2500
3000
3500
4000
4500Part. ($/ton)
SOx 159 165 159 159 158 158 148 254 252 164 162 163
NOx 358 361 358 358 358 358 334 404 403 361 360 0
Part. 465 685 469 462 423 414 408 4130 4087 0 0 610
Mariel Sta Crz Guit. Césp. Nuev. Feltón Rente Tallap Regla 35En CCG Bio
69.6 MM US$/yr
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External Costs(US$/ton),
Berlyand model
0
200
400
600
800
1000
1200
1400
1600
1800
SOx, NOx ($/ton)
0
10000
20000
30000
40000
50000
60000
70000Part. ($/ton)
SOx 186 245 189 175 165 168 171 1707 1251 213 188 200
NOx 372 400 373 366 361 363 345 1108 887 384 372 0
Part. 1516 3789 1630 1103 707 813 1235 60432 42770 0 0 2043
MarielSta Crz
Guit. Césp. Nuev. Feltón Rente Tallap Regla 35En CCG Bio
110 MM US$/yr
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0 1 2 3 4 5 6 7
Mariel
Sta Cruz
Guit.
Césp.
Nuev.
Felton
Rente
Tallap
Regla
35En
CCGas
Bio
¢/Kwh
ISCLT Berly.
Berly. 0.86 0.81 0.42 0.4 0.44 0.5 0.8 5.38 4.53 0.21 0.14 5.9
ISCLT 0.7 0.51 0.34 0.36 0.42 0.46 0.67 0.72 0.82 0.17 0.13 1.8
MarielSta
CruzGuit. Césp. Nuev. Felton Rente Tallap Regla 35En CCGas Bio
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-4
-2
0
2
4
6
8
10
12
14
0 10 20 30 40 50 60
SOx
Yield Loss %
BakerLinearizedAirpacts
CROPS IMPACTS OF AIR POLLUTION
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CROPS IMPACTS OF AIRPOLLUTION
Y = 0.74(SO2) - 0.055(SO2)2 (from 0 to 13.6 ppb)
Y = -0.69(SO2) + 9.35 (over de 13.6 ppb)
kRQ
C SOxSOx 2π
= PYI =
WhereWhere
QQ: emission rate, ton/yr: emission rate, ton/yr RR: Impact domain ratio, km: Impact domain ratio, km
KK: depletion velocity, m/s: depletion velocity, m/s Y: Yield loss, %Y: Yield loss, %
P: P: production per yearproduction per year, ton/, ton/yryr
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Benefits? of SOx emissions on cropBenefits? of SOx emissions on crop
CropCrop P P CostCost Damage cost Damage cost (ton/yr) (US$/ton) (MM$/year)(ton/yr) (US$/ton) (MM$/year)
Sugar caneSugar cane 16274411627441 201.74201.74 -4.93-4.93
BananaBanana 7827778277 424424 --0.500.50
CoffeeCoffee 28562856 16061606 -0.07-0.07
RiceRice 9831498314 177.05177.05 -0.26-0.26
TotalTotal -5.75-5.75
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JuraguJuraguáá Nuclear Power Project Nuclear Power Project• normal operation: health impact of atmospheric
releases,– stack parameters: radionuclides inventory,
– population data,
– agricultural crop data: Density of agricultural product(ton/km2), % of total land area given to product
• accidents
• solid waste disposal
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Impacts of atmospheric releases, resultsImpacts of atmospheric releases, results
0
5000
10000
15000
20000
25000
30000Cases/yr
Fatal cancer (VOSL) 7.23E+03 1.28E+03 2.02E+04 2.87E+04
Fatal cancer (YOLL) 3.68E+03 6.50E+02 1.40E+04 1.83E+04
Non fatal cancer 2.49E+03 4.39E+02 6.95E+03 9.88E+03
Severe hereditary effect 1.45E+03 2.55E+02 4.00E+03 5.71E+03
Local Impact Regional Impact Global Impact Total Impact
0.000219¢/kWh
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Nuclear AccidentsNuclear Accidents
• Accident: Principal project failure (instantaneous rupture ofthe principal circulation pipe DU-500 mm) when the reactoris working at 100 % of nominal potency
• Local dose: 0.005 Sv and 7169.7 man Sv
• Regional dose:12800 man Sv
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Cost category Local costMM US$
Regional costMM US$
Total CostMM US$
Food ban 43.3 1687.4 1730.7Evacuation 0.034 0 0.034Indirect costs 109.2 0 109.2Fatal effects 304.7 544.2 849.0Non fatal effects 88.672 158.42 247.1Total 545.9 2390.1 2936.0
Total Costs Total Costs 2936.0 MN US$ 2936.0 MN US$
Total Cost Expected Total Cost Expected 0.0294 MN US$ 0.0294 MN US$
External cost of accident External cost of accident 0.00510.0051¢¢/kWh/kWh
External cost of accid. including risk aversion External cost of accid. including risk aversion 0.1103 0.1103 ¢¢/kWh/kWh
Nuclear Accidents, resultsNuclear Accidents, results
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Radioactive waste disposal
1. The ingestion of radionuclides incontaminated water
2. The ingestion of radionuclides inagricultural product irrigated/wateredby contaminated water
3. Inhalation of re-suspendedradionuclides in the air
4. External irradiation fromradionuclides in contaminated soil Transferring data from
the AUBE repositoryresults
Studies on NationalRepository ofNuclear Waste
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•• Local dose: 2.494E-3 SvLocal dose: 2.494E-3 Sv
•• Local population: 22.323 in 5 KmLocal population: 22.323 in 5 Km
•• Local Collective dose: 55.7 man SvLocal Collective dose: 55.7 man Sv• Regional collective dose: 2.387e-3 man Sv (Transferring
data from the AUBE repository results according electric energyproduced from wastes in repositories)
Radioactive waste disposal,assumptions
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Scale Fatal Cancers Non fatal cancers Severe hereditaryeffects
Local 2.79 6.68 5.57 E-01Regional and global 1.19 E-04 2.86 E-04 2.39 E-05
Scale Fatal cancer costs(MM US$)
No fatal cancer costs(MM US$)
Severe hereditary effectscosts (MM US$)
Local 2.003220 0.688040 0.399926Regional 0.000085 0.000029 0.000017
Sub. Total 2.003305 0.688069 0.399943
3.09133 MM US$.
0.0021 0.0021 ¢¢/kWh/kWh if energy produced is 145.95 TWh.
Radioactive waste disposal, results
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For 5.8 TWh/yr, Total External Costs are at least 26times greater generated with a fossil fuel plant in thesame zone than NPP, from 0.16 or 0.77 taking in accountor not risk aversion respectively, to 20.648 MM US$.
Scenario Cost per unit of energy produced (¢/kWh)CTE 1CTE 1ª
0.3560.402
Juraguá NPP Not including riskaversion
Including riskaversion
Total 0.00283 0.01335 Normal Operation 0.000219 0.000219 Accidents 0.00051 0.01103 Solid waste disposal 0.0021 0.0021
JuraguJuraguáá Nuclear Nuclear Power Power Project Project
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Qualitative assessment of waterQualitative assessment of waterpollutionpollution
•• Impacts of the power plant on water quality are dueImpacts of the power plant on water quality are dueto:to:
�Thermal pollution of the cooling water (seawater)
�Acids and alkaline residual of the Water ChemicalTreatment Plant (WCTP)
�Washing residuals of the Air Heaters and boilers
�Oleaginous residuals
�Domestic residuals
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DAM_Project 1, Guiteras ?DAM_Project 1, Guiteras ?
•• F300: F300: Current unit, without AT, Fuel OilCurrent unit, without AT, Fuel Oil
•• F330R: F330R: Unit rehabilitated, Fuel OilUnit rehabilitated, Fuel Oil
•• C330: C330: Unit rehabilitated and modified, CrudeUnit rehabilitated and modified, Crude
•• D330: D330: Unit rehabilitated, CrudeUnit rehabilitated, Crude
•• FGD: FGD: C330+Wet C330+Wet FGD SOx ATFGD SOx AT
•• FSI: FSI: C330+FSI C330+FSI SOx ATSOx AT
•• ESP: ESP: C330+ESP AshC330+ESP Ash SOx AT SOx AT
•• FGD+ESP:FGD+ESP:C330+Wet C330+Wet FGD SOx AT and ESP Ash ATFGD SOx AT and ESP Ash AT
•• FSI+ESP: FSI+ESP: C330+FSIC330+FSI SOx AT and ESP Ash AT SOx AT and ESP Ash AT
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DAM_Project 1, Trade-offsDAM_Project 1, Trade-offs
F300 C300 RangeISC Berlyand ISC Lower Bound Upper Bound
SOx 159 186 159 150 200NOx 358 372 358 350 400Ash 465 1516 473 450 1600
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DAM_Project 1, ResultsDAM_Project 1, Results
•• Pareto Dominance: F330R dominates to F330Pareto Dominance: F330R dominates to F330
•• Potentially optimal: C330 and ESPPotentially optimal: C330 and ESP
–– C330, lower bounds of trade-offsC330, lower bounds of trade-offs
–– ESP, if Ash damage costs >1115 US$/tonESP, if Ash damage costs >1115 US$/ton–– FGD+ESP and FGD, if the SOx upper boundFGD+ESP and FGD, if the SOx upper bound
increased to 247 increased to 247 US$/tonUS$/ton
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• HB4: OSB, 200 MW
• V330: OSB, Crude
• CCGas: Combined cycle of natural gas
• Bio: Sugar Mill, Bagasse
• Bio+FF: Bio with Fabric Filters Ash AT
DAM_Project 2, CandidatesDAM_Project 2, Candidates
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DAM_Project 2, Trade-offsDAM_Project 2, Trade-offs
SOx NOx Ash100H ISC 165 361 685
Berlyand 245 400 3789HB4 ISC 162 360 573Bio ISC 163 610
CCgas ISC 162 360Berlyand 188 372
35En ISC 164 361Berlyand 213 384
Lower Bound 150 350 450Upper Bound 250 400 4000
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DAM_Project 2, ResultsDAM_Project 2, Results
•• Pareto Dominance:Pareto Dominance:– Bio+FF and CCgas dominate to dominate to V330 and HB4
– V330 dominates to HB4
•• Outperformance test:Outperformance test:– Bio is outperformed by Bio+FF
•• Potentially optimal: Potentially optimal: CCgas and Bio+FF–– CCGas, lower bounds of trade-offsCCGas, lower bounds of trade-offs
–– Bio+FF, if Bio+FF, if COCO22 is higher than 27 US$/ton is higher than 27 US$/ton
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Outstanding tasks
•• Validation of the local dispersion models.Validation of the local dispersion models.Evaluation of the ISC models in Cuban conditionsEvaluation of the ISC models in Cuban conditions
•• Complete and discuss estimation and valuation ofComplete and discuss estimation and valuation ofwater pollution impacts for chosen case studieswater pollution impacts for chosen case studies
•• Complete and discuss estimation and valuation the Complete and discuss estimation and valuation theexternal costs associated with crop yield andexternal costs associated with crop yield andbuilding materials of air pollution for each ofbuilding materials of air pollution for each ofdifferent case studies using BGLAD approach.different case studies using BGLAD approach.
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•• Implementation with owns efforts of the ImpactImplementation with owns efforts of the ImpactPathway Methodology and comparison its resultsPathway Methodology and comparison its resultswith simplified methodologies. with simplified methodologies. Regional DispersionRegional Dispersion
•• Systematization of epidemiological studies andSystematization of epidemiological studies andestablishing of Fer own.establishing of Fer own.
•• Calculation of national damage costs and depletionCalculation of national damage costs and depletionvelocities.velocities.
Outstanding tasks