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A probabilistic approach to evaluate the exploitation of the geographic situation of hydroelectric plants

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  • Sant'Anna, Leonardo A.F.P.
  • Sant'Anna, Annibal Parracho

Abstract

A procedure to evaluate efficiency in the exploitation of the geographic situation of hydroelectric plants is developed here. It is based on the probabilistic composition of criteria. A comparison of 80 plants is carried out, with volume of water flow at the location and transmission rates paid measuring the potential of the geographic situation and installed power and assured energy measuring the employment of such potential. An analysis based on a new index of quality of approximation and a new measure of importance derived from Shapley value is used to select the criteria that enter a second stage of the efficiency evaluation.

Suggested Citation

  • Sant'Anna, Leonardo A.F.P. & Sant'Anna, Annibal Parracho, 2008. "A probabilistic approach to evaluate the exploitation of the geographic situation of hydroelectric plants," Energy Policy, Elsevier, vol. 36(7), pages 2320-2329, July.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:7:p:2320-2329
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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.
    2. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    3. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 1999. "Rough approximation of a preference relation by dominance relations," European Journal of Operational Research, Elsevier, vol. 117(1), pages 63-83, August.
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    1. Blumer, Yann B. & Stauffacher, Michael & Lang, Daniel J. & Hayashi, Kiyotada & Uchida, Susumu, 2013. "Non-technical success factors for bioenergy projects—Learning from a multiple case study in Japan," Energy Policy, Elsevier, vol. 60(C), pages 386-395.

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