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Electrical energy demand efficiency efforts in Brazil, past, lessons learned, present and future: A critical review

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  • Zurn, Hans H.
  • Tenfen, Daniel
  • Rolim, Jacqueline G.
  • Richter, André
  • Hauer, Ines

Abstract

Brazil’s predominant hydroelectric power production has to be increasingly complemented by thermal generation to face rapid demand growth, slow new hydro plants planning and construction, proportional reduction of possible energy stored in the reservoirs and longer drought periods. The larger the thermal electricity share, the more expensive is the production cost and environmental impact due to fossil fuels. To counter this, new renewable sources such as wind plants are being massively built in addition to more effective measures of energy conservation, based on traditional methods such as the National Program for Electrical Energy Conservation (PROCEL) and peak load tariff differentials, which affect large consumers and is expected to be applied to residential consumers with new digital energy meters. In addition, there is the traditional summer time offset of one hour in higher southern latitude parts of Brazil. The effects of energy savings and peak load reduction are studied in view of optimal power dispatch reasoning, both considering an uncrowded and a potentially congested transmission network where the predominant power production is hydroelectric. Efforts to increase energy savings and efficiency in Brazil are critically analyzed at the end of this paper.

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  • Zurn, Hans H. & Tenfen, Daniel & Rolim, Jacqueline G. & Richter, André & Hauer, Ines, 2017. "Electrical energy demand efficiency efforts in Brazil, past, lessons learned, present and future: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1081-1086.
  • Handle: RePEc:eee:rensus:v:67:y:2017:i:c:p:1081-1086
    DOI: 10.1016/j.rser.2016.09.037
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    1. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    2. Oliveira, Mario Henrique da Fonseca & Rebelatto, Daisy Aparecida do Nascimento, 2015. "The evaluation of electric energy consumption in the Brazilian residential sector: A technological improvement proposal in order to increase its efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 836-844.
    3. Silva, Neilton Fidelis da & Rosa, Luiz Pinguelli & Freitas, Marcos Aurélio Vasconcelos & Pereira, Marcio Giannini, 2013. "Wind energy in Brazil: From the power sector's expansion crisis model to the favorable environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 686-697.
    4. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
    5. Macedo, M.N.Q. & Galo, J.J.M. & de Almeida, L.A.L. & de C. Lima, A.C., 2015. "Demand side management using artificial neural networks in a smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 128-133.
    6. Pottmaier, D. & Melo, C.R. & Sartor, M.N. & Kuester, S. & Amadio, T.M. & Fernandes, C.A.H. & Marinha, D. & Alarcon, O.E., 2013. "The Brazilian energy matrix: From a materials science and engineering perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 678-691.
    7. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    8. Carvalho, M.M.Q. & La Rovere, E.L. & Gonçalves, A.C.M., 2010. "Analysis of variables that influence electric energy consumption in commercial buildings in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3199-3205, December.
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    6. Piai Paiva, Juliani Chico & Jannuzzi, Gilberto De Martino & de Melo, Conrado Augustus, 2019. "Mapping electricity affordability in Brazil," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.

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