A statistical characterization of the long-term solar resource: Towards risk assessment for solar power projects
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- 作者：Carlos M. Ferná ; ndez Peruchena<sup>asup><sup> ; sup><sup>cfernandez@cener.com" class="auth_mail" title="E-mail the corresponding authorsup> ; Lourdes Ramí ; rez<sup>bsup> ; Manuel A. Silva-Pé ; rez<sup>csup> ; Vicente Lara<sup>dsup> ; Diego Bermejo<sup>esup> ; Martí ; n Gastó ; n<sup>fsup> ; Sara Moreno-Tejera<sup>csup> ; Jesú ; s Pulgar<sup>dsup> ; Juan Liria<sup>esup> ; Sergio Mací ; as<sup>gsup> ; Rocí ; o Gonzalez<sup>fsup> ; Ana Bernardos<sup>fsup> ; Nuria Castillo<sup>dsup> ; Beatriz Bolinaga<sup>gsup> ; Rita X. Valenzuela<sup>bsup> ; Luis F. Zarzalejo<sup>bsup>
- 关键词：Solar resource ; Percentile ; Meteorological variability ; Risk analysis
- 刊名：Solar Energy
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：123
- 期：Complete
- 页码：29-39
- 全文大小：1202 K
文摘
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A procedure for extreme solar-resource events characterization is presented.
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Annual GHI observed data are fitted to normal distributions.
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Annual DNI observed data are fitted to Weibull distributions.
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Annual GHI and DNI percentiles are calculated with uncertainties below 5%.