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An assessment of CO2 emissions avoided by energy-efficiency programs: A general methodology and a case study in Brazil

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  • Vieira, Nathália Duarte Braz
  • Nogueira, Luiz Augusto Horta
  • Haddad, Jamil

Abstract

Energy efficiency has been proposed as one of the most effective instruments for mitigating greenhouse gas emissions. However, the methodologies to estimate the impact of energy savings on these emissions are generally aggregated and simplified. This study presents an approach for evaluating the emissions avoided by energy-efficiency programs; decomposing the energy savings in the national electrical system load curve and correlating it with the emission factor observed in different periods of this curve. This methodology was applied to the three main programs that promote the rational use of electricity in Brazil: National Electric Energy Conservation Program (PROCEL), Energy Efficiency Law and Energy Efficiency Program (PEE) coordinated by National Agency of Electric Energy (ANEEL). A specific mitigation effect ranging from 0,329 to 0,332 tCO2avoided/MWhsaved is found, which is above the value currently assumed in governmental estimates. The basis for this difference is the fact that energy saved occurs mainly in uses such as lighting, which happen at the load curve peak (or near it) when the thermal power plants are dispatched. The proposed methodology presents more consistent results than those obtained by conventional approaches, endorsing the energy-efficiency role as an instrument for climate change mitigation.

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  • Vieira, Nathália Duarte Braz & Nogueira, Luiz Augusto Horta & Haddad, Jamil, 2018. "An assessment of CO2 emissions avoided by energy-efficiency programs: A general methodology and a case study in Brazil," Energy, Elsevier, vol. 142(C), pages 702-715.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:702-715
    DOI: 10.1016/j.energy.2017.10.072
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    1. Ghisi, Enedir & Gosch, Samuel & Lamberts, Roberto, 2007. "Electricity end-uses in the residential sector of Brazil," Energy Policy, Elsevier, vol. 35(8), pages 4107-4120, August.
    2. Rodrigo F. Calili & Reinaldo C. Souza & Alain Galli & Margaret Armstrong & André Luis M. Marcato, 2014. "Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies," Post-Print hal-01110915, HAL.
    3. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    4. Naspolini, Helena F. & Rüther, Ricardo, 2012. "Assessing the technical and economic viability of low-cost domestic solar hot water systems (DSHWS) in low-income residential dwellings in Brazil," Renewable Energy, Elsevier, vol. 48(C), pages 92-99.
    5. Emilio L�bre La Rovere & Branca Bastos Americano, 2002. "Domestic actions contributing to the mitigation of GHG emissions from power generation in Brazil," Climate Policy, Taylor & Francis Journals, vol. 2(2-3), pages 247-254, September.
    6. -, 2016. "Monitoring energy efficiency in Latin America," Documentos de Proyectos 40809, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    7. Achão, Carla & Schaeffer, Roberto, 2009. "Decomposition analysis of the variations in residential electricity consumption in Brazil for the 1980-2007 period: Measuring the activity, intensity and structure effects," Energy Policy, Elsevier, vol. 37(12), pages 5208-5220, December.
    8. Wachsmann, Ulrike & Wood, Richard & Lenzen, Manfred & Schaeffer, Roberto, 2009. "Structural decomposition of energy use in Brazil from 1970 to 1996," Applied Energy, Elsevier, vol. 86(4), pages 578-587, April.
    9. Calili, Rodrigo F. & Souza, Reinaldo C. & Galli, Alain & Armstrong, Margaret & Marcato, André Luis M., 2014. "Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies," Energy Policy, Elsevier, vol. 67(C), pages 4-15.
    10. Martins, F.R. & Abreu, S.L. & Pereira, E.B., 2012. "Scenarios for solar thermal energy applications in Brazil," Energy Policy, Elsevier, vol. 48(C), pages 640-649.
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