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Sustainable expansion of electricity sector: Sustainability indicators as an instrument to support decision making

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  • Rovere, Emilio Lebre La
  • Soares, Jeferson Borghetti
  • Oliveira, Luciano Basto
  • Lauria, Tatiana

Abstract

The aim of this paper is to put forward a proposal for a methodology to analyze the sustainability of the expansion of electricity generation. To do so, an approach is needed that takes into account, in an integrated perspective, the technical, socioeconomic, environmental and technological factors of the various alternatives for sector expansion. In this regard, multicriteria analysis (MCA) is proposed as an evaluation tool. It will be applied to a situation that involves the selection of the following expansion alternatives: small hydropowers, wind energy, generation from sugarcane bagasse, biodiesel, urban solid wastes, natural gas and nuclear energy. The methodology involved the development of indicators encompassing technological, environmental social and economic dimensions, for each of the aforementioned expansion alternatives, and the results were very interesting, from a multicriteria point of view, in their capacity to internalize socioenvironmental, technological and economic aspects in the decision making process for electricity generation expansion. It may well prove to be a useful tool for supporting this decision, although efforts are required to standardize the methodology with regard to its evaluation procedures.

Suggested Citation

  • Rovere, Emilio Lebre La & Soares, Jeferson Borghetti & Oliveira, Luciano Basto & Lauria, Tatiana, 2010. "Sustainable expansion of electricity sector: Sustainability indicators as an instrument to support decision making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 422-429, January.
    • Handle: RePEc:eee:rensus:v:14:y:2010:i:1:p:422-429
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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