Characterization of the intraday variability regime of solarirradiation of climatically distinct locations
| Autor: | Emeric Tapaches, Mathieu David, Philippe Lauret, Luis Mazorra Aguiar, Hadja Maïmouna Diagne, Richard Perez |
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| Přispěvatelé: | Physique et Ingénierie Mathématique pour l'Énergie, l'environnemeNt et le bâtimenT (PIMENT), Université de La Réunion (UR), University at Albany [SUNY], State University of New York (SUNY) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Systematic difference
Index (economics) Meteorology Renewable Energy Sustainability and the Environment [SDE.IE]Environmental Sciences/Environmental Engineering 020209 energy media_common.quotation_subject Solar resource Orography 02 engineering and technology Standard deviation Solar irradiation NWP model Informative content 13. Climate action Sky Climatology Solar Resource 0202 electrical engineering electronic engineering information engineering Environmental science General Materials Science Variability media_common Model |
| Zdroj: | Solar Energy Solar Energy, Elsevier, 2016, 125, pp.99-110. ⟨10.1016/j.solener.2015.11.032⟩ |
| ISSN: | 0038-092X 1471-1257 |
| Popis: | International audience; This paper investigates the relationship between two parameters characterizing a given location on a given day: the daily clear skyindex KT* and the intraday variability given by the standard deviation of the changes in the hourly clear sky index rðDktDtÞ. Empiricalevidence assembled from twenty climatically distinct locations led us to derive a simple model to infer intraday variability from the day’sclear sky index. Although the model shows little dependence on location, we did observe a systematic difference traceable to a location’sprevailing cloud formation regime. Therefore, we also propose two alternative models for sites where cloud formations is influenced bylocal orography and sites where cloud formation is traceable to weather events only. Finally, we present a possible application of themodels to enhance the informative content of day(s) ahead NWP forecasts. |
| Databáze: | OpenAIRE |
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