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1 The Brazilian Energy Matrix and Greenhouse Gas Emissions The Brazilian Energy Matrix and Greenhouse Gas Emissions MAURICIO TIOMNO TOLMASQUIM Chair ofthe Energy Planning Program COPPE/UFRJ – Chair of SBPE – Brazilian Societyfor Energy Planning MAURICIO TIOMNO TOLMASQUIM MAURICIO TIOMNO TOLMASQUIM Chair Chair of of the the Energy Energy Planning Planning Program Program COPPE/UFRJ COPPE/UFRJ Chair Chair of SBPE of SBPE Brazilian Brazilian Society Society for for Energy Energy Planning Planning

The Brazilian Energy Matrix and Greenhouse Gas Emissions · 1 The Brazilian Energy Matrix and Greenhouse Gas Emissions The Brazilian Energy Matrix and Greenhouse Gas Emissions

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Page 1: The Brazilian Energy Matrix and Greenhouse Gas Emissions · 1 The Brazilian Energy Matrix and Greenhouse Gas Emissions The Brazilian Energy Matrix and Greenhouse Gas Emissions

1

The Brazilian Energy Matrix and

Greenhouse Gas Emissions

The Brazilian Energy Matrix and

Greenhouse Gas Emissions

M AURICIO TIOMNO TOLMASQUIM

Chair ofthe Energy Planning ProgramCOPPE/UFRJ

– Chair of SBPE –

Brazilian Societyfor Energy Planning

M AURICIO TIOMNO TOLMASQUIMM AURICIO TIOMNO TOLMASQUIM

ChairChair ofofthethe EnergyEnergy PlanningPlanning ProgramProgramCOPPE/UFRJCOPPE/UFRJ

–– ChairChair of SBPE of SBPE ––

BrazilianBrazilian SocietySocietyfor for EnergyEnergy PlanningPlanning

Page 2: The Brazilian Energy Matrix and Greenhouse Gas Emissions · 1 The Brazilian Energy Matrix and Greenhouse Gas Emissions The Brazilian Energy Matrix and Greenhouse Gas Emissions

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SourcesSourcesTolmasquim, M.T., Cohen, C. e Tolmasquim, M.T., Cohen, C. e SzkloSzklo, A S, ¨CO2 , A S, ¨CO2 EmissionsEmissions in in the the BrazilianBrazilian Industrial Sector Industrial Sector AccordingAccording to to the Integrated Energy the Integrated Energy Planning ModelPlanning Model,, Energy PolicyEnergy Policy, 2000, 2000Tolmasquim, M.T., Tolmasquim, M.T., SchaefferSchaeffer, R., Machado, ¨Energia e Carbono , R., Machado, ¨Energia e Carbono Embutidos no Comércio Internacional Brasileiro¨, Documento Embutidos no Comércio Internacional Brasileiro¨, Documento Preparado para o MCT, Setembro de 2000.Preparado para o MCT, Setembro de 2000.Rosa, L.P, Goldemberg, J., Nobre, C, Dias e Tolmasquim, DocumentRosa, L.P, Goldemberg, J., Nobre, C, Dias e Tolmasquim, Documentooda SBPC, 2000.da SBPC, 2000.PoolePoole, A D, , A D, HollandaHollanda, J. B., Tolmasquim, M, ¨Conservação de Energia , J. B., Tolmasquim, M, ¨Conservação de Energia e Emissões de Gases do Efeito Estufa no Brasil¨, Documento e Emissões de Gases do Efeito Estufa no Brasil¨, Documento Preparado para o MCT, 1998.Preparado para o MCT, 1998.WachsmannWachsmann, U., Tolmasquim, T.M., “, U., Tolmasquim, T.M., “Windpower Windpower inin BrazilBrazil –– aaTransition Using the German ExperienceTransition Using the German Experience”, Documento preparado para ”, Documento preparado para Rio02Rio02

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COCO22 Emissions from Fossil Fuels Emissions from Fossil Fuels

Brazil andBrazil and SomeSome Emerging andEmerging and OECDOECD CountriesCountries -- 19951995Brazil Japan Europ

UnionUSA Mexic

oIndia China Russia

CO2 & economy(kg CO2/US$90GDPPPP)

0.33 0.46 0.51 0.85 0.51 0.73 0.92 2.24

CO2 per capita (t CO2/hab)

1.81 9.17 8.55 19.88 3.46 0.86 2.51 10.44

Total CO2(million t CO2 )

287 1151 3180 5229 328 803 3007 1548

Transport Emissions(million t CO2 )

119 252 828 1580 101 112 167 108

Share of Transport ( % )

41.5 21.9 26.0 30.2 30.8 13.9 5.6 7.0

Source: International Energy Agency, CO2 Emissions from Fossil Fuel Combustion: 1972-1995. OECD, Paris, 1997

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HydroHydro

Power generation contributes with just 5% of the Power generation contributes with just 5% of the total COtotal CO22 energy emissions in Brazil.energy emissions in Brazil.OCDEOCDE –– 30% of 30% of emissionsemissions

if the if the ““mixmix”” were 50% hydro, 25% coal and 25%were 50% hydro, 25% coal and 25%natural gas combined cyclenatural gas combined cycle–– the avoided emissions would be on the order of 30 the avoided emissions would be on the order of 30

million million tCtC in 1996.in 1996.more or less 1/3 of the Brazilian emissions in that more or less 1/3 of the Brazilian emissions in that

year.year.

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Alcohol from Sugarcane Alcohol from Sugarcane

The production and use of ethanol as the The production and use of ethanol as the sole fuel or mixed with gasoline reduces sole fuel or mixed with gasoline reduces current emissions by an estimated 9 million current emissions by an estimated 9 million t Ct CIn the late 80s, alcohol vehicles accounted In the late 80s, alcohol vehicles accounted for 90% of total sales for 90% of total sales ––a fleet of 5 million alcohol vehicles a fleet of 5 million alcohol vehicles circulated in Brazil.circulated in Brazil.TodayToday–– less than 0,5% of new car sales. less than 0,5% of new car sales.

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CharcoalCharcoal

BrazilBrazil isis oneone ofof the few countriesthe few countries inin the world the world that has keptthat has kept aa significant metallurgical significant metallurgical industry based on charcoalindustry based on charcoal

The current levelThe current level of use ofof use of charcoal avoids an charcoal avoids an annual emissionannual emission of moreof more thanthan 33 millionmillion t C t C of COof CO22..

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Metalurgical CharcoalMetalurgical Charcoal inin BrazilBrazil -- 1980/961980/96

1980 1985 1990 1995 1996

Metalurgical charcoal (106 t/year)

4.9 8.1 8.4 6.8 6.1

Share of planted wood (%)

- 15 35 55 -

Page 8: The Brazilian Energy Matrix and Greenhouse Gas Emissions · 1 The Brazilian Energy Matrix and Greenhouse Gas Emissions The Brazilian Energy Matrix and Greenhouse Gas Emissions

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EmissionsEmissions of COof CO22 from Fossil Fuelsfrom Fossil Fuels perper UnitUnit of GDP of GDP –– BrazilBrazil ((tCtC/10/1066 US$US$9696 GDP )GDP )

80

82

84

86

88

90

92

94

96

98

19 74 19 76 19 78 19 80 19 82 19 84 19 86 19 88 19 90 19 92 19 94 19 96Y ear

Em

issi

on

In

ten

sity

(tC

/10

6 US

$-1

996)

Page 9: The Brazilian Energy Matrix and Greenhouse Gas Emissions · 1 The Brazilian Energy Matrix and Greenhouse Gas Emissions The Brazilian Energy Matrix and Greenhouse Gas Emissions

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COCO22 EmissionsEmissionsDifferent TechnologiesDifferent Technologies

Fonte: "Renewable Energy Resources: Opportunities and Constraints 1990-2020" - World Energy Council - 1993

Extração Construção Operação TotalPlanta convencional de queima de carvão 1 1 962 964Planta de queima de gás 0 0 484 484Pequenas hidrelétricas - 10 - 10Energia eólica - 7 - 7Solar fotovoltaico - 5 - 5Grandes hidrelétricas - 4 - 4Solar térmico - 3 - 3Lenha (Extração programável) -1.509 3 1.346 -160

TecnologiasEmissões de CO2 nos estágios de produção de

energia (ton/GWh)Extração Construção Operação Total

Planta convencional de queima de carvão 1 1 962 964Planta de queima de gás 0 0 484 484Pequenas hidrelétricas - 10 - 10Energia eólica - 7 - 7Solar fotovoltaico - 5 - 5Grandes hidrelétricas - 4 - 4Solar térmico - 3 - 3Lenha (Extração programável) -1.509 3 1.346 -160

TecnologiasEmissões de CO2 nos estágios de produção de

energia (ton/GWh)

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The Future of Renewable Energy SourcesThe Future of Renewable Energy Sources

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0

500

1000

1500

2000

2500

3000

3500

1980 1988 2000 2030

FotovoltaicaEólicaGeotérmicaTermosolar - GásTermosolar - ParabólicosBiomassa

Renewable Energy Costs Evolution Renewable Energy Costs Evolution (US$/(US$/MWhMWh))

Fonte: www.Fonte: www.cresesbcresesb..cepelcepel..brbr

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The Future of Wind EnergyThe Future of Wind EnergyForecast until 2004Forecast until 2004

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Wind Energy in German Wind Energy in German -- 20012001

Number of Wind Turbines (in June 2001) 10.033,00 674,00

Installed Capacity (MW) 6.916,00 821,00

Average Rated Power (kW/unit) 689,40 1.219,00

CumulatedOnly in the first 6 month of 2001

Number of Wind Turbines (in June 2001) 10.033,00 674,00

Installed Capacity (MW) 6.916,00 821,00

Average Rated Power (kW/unit) 689,40 1.219,00

CumulatedOnly in the first 6 month of 2001

Fonte: DEWI, 2000

13 *1013 *1066 MWhMWh/year (2000)/year (2000)

2%2% of the German Energyof the German EnergyConsumption in 1999Consumption in 1999

Turbinas Instaladasao longo dos anos

Turbinas Instaladasao longo dos anos

Potência Instaladaao longo dos anos

Potência Instaladaao longo dos anos

0

200

400

600

800

1000

1200

1400

1600

1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001

Year

Inst

alle

d Po

wer

/ear

[MW

]

0

1000

2000

3000

4000

5000

6000

7000

1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001

Year

Cum

ulat

ed P

ower

[MW

]

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Actual Situation of the Brazilian Wind Energy Actual Situation of the Brazilian Wind Energy UseUse

(Types of Turbines)(Types of Turbines)

Instalação Implementação Finaciadores

Potê

ncia

Iníc

io d

eop

eraç

ão

Projetos em operaçãoFernando de Noronha – PE CELPE, UFPE/Folkcenter 30% Dinamarca 75 kW 1992Morro do Camelinho – MG CEMIG 70% Alemanha 1 MW 1994Porto de Mucuripe – CE COELCE 70% Alemanha 1.2 MW 1996Sist. Híbrido de Joanes – PA CEPEL/CELPA 100% USA 40 kW 1997Central Eólica de Prainha –CE Wobben Windpower/ COELCE Privado 10 MW 1999

Central Eólica de Taíba – CE Wobben Windpower /COELCE Privado 5 MW 1999Usina de Palmas – PR Wobben Windpower/COPEL Privado 2.5 MW 1999

20,3 MW installed 20,3 MW installed

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Fonte: www.Fonte: www.cresesbcresesb..cepelcepel..brbr

Brazilian Wind Energy Atlas Brazilian Wind Energy Atlas –– PreliminaryPreliminaryVersion 2001Version 2001

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ValorValor NormativoNormativo -- Res. ANEEL 22/2001Res. ANEEL 22/2001

Fonte R$/ MWh

Termelétrica a Gás 72,35

Termelétrica Carvão 74,86

Pequena Central Elétrica 79,29

Termelétrica Biomassa 89,86

Usina Eólica 112,21

Usina Solar Fotovoltaica 264,12

Fonte R$/ MWh

Termelétrica a Gás 72,35

Termelétrica Carvão 74,86

Pequena Central Elétrica 79,29

Termelétrica Biomassa 89,86

Usina Eólica 112,21

Usina Solar Fotovoltaica 264,12

Ref.Ref. FevFev/2001/2001

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Load Factor 40%

Economic Evaluation of Wind Energy in Economic Evaluation of Wind Energy in BrazilBrazil

-- own capital own capital --

Fonte: DUTRA,2001Fonte: DUTRA,2001

1500 kW1500 kWTurbina 9Turbina 9

1500 kW1500 kWTurbina 8Turbina 8

1300 kW1300 kWTurbina 7Turbina 7

660 kW660 kWTurbina 6Turbina 6

750 kW750 kWTurbina 5Turbina 5

500 kW500 kWTurbina 4Turbina 4

300 kW300 kWTurbina 3Turbina 3

250 kW250 kWTurbina 2Turbina 2

200 kW200 kWTurbina 1Turbina 1PowerPowerModelModel

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Economic Evaluation of Wind Energy in Economic Evaluation of Wind Energy in BrazilBrazil

-- resources from BNDES resources from BNDES -- PASEPASE --

Fonte: DUTRA,2001Fonte: DUTRA,2001

Load Factor 40%

PASEPASE –– Electrical Power ProgramElectrical Power Program

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BAGASSE-BASED COGENERATION

Market Percentage for the 2005 Scenario

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TechnologyHarvesting Method

(a)

Associated Biomass

Proportion

Available Biomass Distribution by Season (million tons/year)

Forecast (GWh/year

)

Forecas

t(MW)(b,c

)Harvest Mid-Harvest

Current Counter-Pressure Cycle

Without Recovery 60% 52.65 - 3,949 676

Efficiency-Enhanced Counter-Pressure Cycle

With Recovery 40% 56.94 - 12,812 2,19

4

Condensation and Extraction Cycle - 0% - - 0 0

Biomass Gasification and Combined Cycle - 0% - - 0 0

Total 109.59 16,760 2,870

Without Recovery - straw and tips are burned off before harvesting With Recovery - raw sugarcane is mechanically harvested, with a recovery rate of 40% in absolute terms of the straw and tips

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TechnologyHarvesting Method

(a)

Associated Biomass

Proportion

Available Biomass Distribution by Season (million tons/year) Forecast

(GWh/year)

Forecas

t(MW)(b,c

)Harvest Mid-Harvest

Current Counter-Pressure Cycle

Without Recovery 30% 28.35 - 2,126 364

Efficiency Enhanced Counter-Pressure Cycle

With Recovery 40% 61.32 - 13,797 2,36

3

Condensation and Extraction Cycle

With Recovery 15% 14.18 8.82 9,888 1,69

3

Biomass Gasification and Combined Cycle

With Recovery 15% 14.8 8.82 20,466 3,50

4

Total 118.02 46,277 7,924

Market Percentage for the 2010 Scenario

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NATURAL GAZ NATURAL GAZ COGENERATIONCOGENERATION

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Reasons to encourage Reasons to encourage cogenerationcogeneration

Compared to conventional thermoCompared to conventional thermo--power generation: power generation: •• It ensures lowest energy consumptionIt ensures lowest energy consumption•• It reduces atmospheric emissions It reduces atmospheric emissions •• It could serve electricity markets with:It could serve electricity markets with:oo lower investments in the transmission and lower investments in the transmission and distribution grids and networks distribution grids and networks oo with lower energy losses during transmission.with lower energy losses during transmission.It may allow the postponement of highIt may allow the postponement of high--volume volume investments in expanding centralized power investments in expanding centralized power generation capacity.generation capacity.

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However, these reasons have not encouraged However, these reasons have not encouraged investments in cogeneration in Brazil in the past. investments in cogeneration in Brazil in the past.

•• total cogeneration potential total cogeneration potential -- between 11 and between 11 and 17 GW17 GW•• technical potential for industrial cogeneration technical potential for industrial cogeneration -- about 12,499 MW about 12,499 MW

the installed capacity of cogeneration systems in the installed capacity of cogeneration systems in Brazil by 2000 did not exceed 2 GW. Brazil by 2000 did not exceed 2 GW.

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Energy policyEnergy policy

1.1. Foster the expansion of cogeneration in Foster the expansion of cogeneration in segments where investments are not allocated segments where investments are not allocated spontaneously, either because:spontaneously, either because:•• the benefits of cogeneration are not perceived the benefits of cogeneration are not perceived oror•• these benefits are not properly appraised, these benefits are not properly appraised, –– oo investors may be unwilling to channel funds to a investors may be unwilling to channel funds to a

sector outside their core activities, orsector outside their core activities, oroo there may be market barriers to this investment.there may be market barriers to this investment.

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Energy policyEnergy policy

2.2. Encourage:Encourage:oo the expansion of more efficient cogeneration the expansion of more efficient cogeneration systems and systems and oo the conversion of less efficient systems to the conversion of less efficient systems to more efficient levels, resulting in high fuel more efficient levels, resulting in high fuel savings.savings.

–– For instance, this was one of the guidelines of For instance, this was one of the guidelines of DenmarkDenmark’’s (1980s and 1990s) and French (1990s) s (1980s and 1990s) and French (1990s) policy.policy.

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Energy policyEnergy policy

3.3. Encourage rapid expansion of the installed Encourage rapid expansion of the installed capacity of cogeneration systems. capacity of cogeneration systems.

For instance, incentives designed to encourage the For instance, incentives designed to encourage the sale of sale of cogeneratedcogenerated surplus power speeded up the surplus power speeded up the expansion of installed cogeneration capacity inexpansion of installed cogeneration capacity in–– the USA (1980s), the USA (1980s), –– Netherlands (early 1990s), andNetherlands (early 1990s), and–– France (end of this decade).France (end of this decade).

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Energy policyEnergy policy

4. Encourage the consumption of certain fuels 4. Encourage the consumption of certain fuels rather than others, due to:rather than others, due to:•• either environmental reasons oreither environmental reasons or•• issues of a technical and economic nature issues of a technical and economic nature (such as the availability of energy resources).(such as the availability of energy resources).

This is the case with both This is the case with both –– the Netherlands and the Netherlands and –– Denmark, (in terms of natural gas and renewable fuel Denmark, (in terms of natural gas and renewable fuel

sources).sources).