Supply-cost curves for geographically distributed renewable-energy resources
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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- Gómez, Antonio & Zubizarreta, Javier & Rodrigues, Marcos & Dopazo, César & Fueyo, Norberto, 2010. "Potential and cost of electricity generation from human and animal waste in Spain," Renewable Energy, Elsevier, vol. 35(2), pages 498-505.
- Schneider, Daniel R. & Duić, Neven & Bogdan, Željko, 2007. "Mapping the potential for decentralized energy generation based on renewable energy sources in the Republic of Croatia," Energy, Elsevier, vol. 32(9), pages 1731-1744.
- Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
- Daniëls, B.W. & Uyterlinde, M.A., 2005. "ADMIRE-REBUS: modeling the European market for renewable electricity," Energy, Elsevier, vol. 30(14), pages 2596-2616.
- 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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