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Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies

Author

Listed:
  • Rodrigo F. Calili

    (PUC-Rio - Pontifícia Universidade Católica do Rio de Janeiro [Brasil] = Pontifical Catholic University of Rio de Janeiro [Brazil] = Université catholique pontificale de Rio de Janeiro [Brésil])

  • Reinaldo C. Souza

    (PUC-Rio - Pontifícia Universidade Católica do Rio de Janeiro [Brasil] = Pontifical Catholic University of Rio de Janeiro [Brazil] = Université catholique pontificale de Rio de Janeiro [Brésil])

  • Alain Galli

    (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Margaret Armstrong

    (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • André Luis M. Marcato

    (UFJF - Universidade Federal de Juiz de Fora)

Abstract

Investing more in renewable energy sources and using this in a rational and efficient way is vital for the sustainable growth of world. Energy efficiency (EE) will play an increasingly important role in future generations. The aim of this work is to estimate how much the PNEf (National Plan for Energy Efficiency) launched by the Brazilian government in 2011 will save over the next 5 years by avoiding the construction of additional power plants, as well as the amount of the CO2 emission. The marginal operating cost is computed for medium term planning of the dispatching of power plants in the hydro-thermal system using Stochastic Dynamic Dual Programming, after incorporating stochastic energy efficiencies into the demand for electricity. We demonstrate that even for a modest improvement in energy efficiency (

Suggested Citation

  • 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.
    • Handle: RePEc:hal:journl:hal-01110915
    DOI: 10.1016/j.enpol.2013.09.071
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    Citations

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    Cited by:

    1. 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.
    2. Giglio, T. & Santos, V. & Lamberts, R., 2019. "Analyzing the impact of small solar water heating systems on peak demand and on emissions in the Brazilian context," Renewable Energy, Elsevier, vol. 133(C), pages 1404-1413.
    3. Agatha Oliveira & Rodrigo Calili & Maria Fatima Almeida & Manuel Sousa, 2019. "A Systemic and Contextual Framework to Define a Country’s 2030 Agenda from a Foresight Perspective," Sustainability, MDPI, vol. 11(22), pages 1-28, November.
    4. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
    5. Baldini, Mattia & Klinge Jacobsen, Henrik, 2016. "Optimal trade-offs between energy efficiency improvements and additional renewable energy supply: A review of international experiences," MPRA Paper 102031, University Library of Munich, Germany.
    6. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
    7. Javier Linkolk López-Gonzales & Reinaldo Castro Souza & Felipe Leite Coelho da Silva & Natalí Carbo-Bustinza & Germán Ibacache-Pulgar & Rodrigo Flora Calili, 2020. "Simulation of the Energy Efficiency Auction Prices via the Markov Chain Monte Carlo Method," Energies, MDPI, vol. 13(17), pages 1-19, September.
    8. Rogério Diogne de Souza e Silva & Rosana Cavalcante de Oliveira & Maria Emília de Lima Tostes, 2017. "Analysis of the Brazilian Energy Efficiency Program for Electricity Distribution Systems," Energies, MDPI, vol. 10(9), pages 1-19, September.

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