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Supply-cost curves for geographically distributed renewable-energy resources

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

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.

Suggested Citation

  • Izquierdo, Salvador & Dopazo, César & Fueyo, Norberto, 2010. "Supply-cost curves for geographically distributed renewable-energy resources," Energy Policy, Elsevier, vol. 38(1), pages 667-672, January.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:1:p:667-672
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    Cited by:

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    7. Gómez, Antonio & Zubizarreta, Javier & Dopazo, César & Fueyo, Norberto, 2011. "Spanish energy roadmap to 2020: Socioeconomic implications of renewable targets," Energy, Elsevier, vol. 36(4), pages 1973-1985.
    8. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Lund, Rasmus Søgaard & Mathiesen, Brian Vad, 2019. "Heat Roadmap Europe: Towards EU-Wide, local heat supply strategies," Energy, Elsevier, vol. 177(C), pages 554-564.

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