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Supply-cost curves for geographically distributed renewable-energy resources

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  • Izquierdo, Salvador
  • Dopazo, César
  • Fueyo, Norberto
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    Abstract

    The supply-cost curves of renewable-energy sources are an essential tool to synthesize and analyze large-scale energy-policy scenarios, both in the short and long terms. Here, we suggest and test a parametrization of such curves that allows their representation for modeling purposes with a minimal set of information. In essence, an economic potential is defined based on the mode of the marginal supply-cost curves; and, using this definition, a normalized log-normal distribution function is used to model these curves. The feasibility of this proposal is assessed with data from a GIS-based analysis of solar, wind and biomass technologies in Spain. The best agreement is achieved for solar energy.

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    File URL: http://www.sciencedirect.com/science/article/B6V2W-4XG3DF7-1/2/cd2720cacdb5c96e7ef951db8a93c42e
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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 38 (2010)
    Issue (Month): 1 (January)
    Pages: 667-672

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    Handle: RePEc:eee:enepol:v:38:y:2010:i:1:p:667-672

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Renewable energy Cost-supply curve Geographic information system;

    References

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    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. de Vries, Bert J.M. & van Vuuren, Detlef P. & Hoogwijk, Monique M., 2007. "Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach," Energy Policy, Elsevier, vol. 35(4), pages 2590-2610, April.
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    Cited by:
    1. Calvert, K., 2011. "Geomatics and bioenergy feasibility assessments: Taking stock and looking forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1117-1124, February.

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