Daily irradiance test signal for photovoltaic systems by selection from long-term data

Alberto Avila, Pedro R. Vizcaya and Rafael Diez

Renewable Energy, 2019, vol. 131, issue C, 755-762

Abstract: When performing tests on a photovoltaic energy conversion system, it is useful to have a daily-term irradiance profile which, in some way, represents the typical behavior of this variable at a desired geographic location, including fast changes caused by weather. Therefore, the objective of this work is to propose a simple methodology, to choose a representative daily-duration irradiance signal, from long-term irradiance data. This is accomplished, by means of quantifying the irradiance variability, and considering the total daily energy. A method to combine these two factors, is proposed and employed in the selection the most representative day; it is also used to search for extreme condition days.

Keywords: Photovoltaic system; Solar irradiance; Test signal (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:131:y:2019:i:c:p:755-762

DOI: 10.1016/j.renene.2018.07.071

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