Resolution of the cloud enhancement problem for one-minute diffuse radiation prediction
Author
dc.contributor.author
Starke, Allan R.
Author
dc.contributor.author
Lemos, Leonardo F. L.
Author
dc.contributor.author
Boland, John
Author
dc.contributor.author
Cardemil Iglesias, José
Author
dc.contributor.author
Colle, Sergio
Admission date
dc.date.accessioned
2018-11-26T20:21:55Z
Available date
dc.date.available
2018-11-26T20:21:55Z
Publication date
dc.date.issued
2018-09
Cita de ítem
dc.identifier.citation
Renewable Energy Volumen: 125 Páginas: 472-484
es_ES
Identifier
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10.1016/j.renene.2018.02.107
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/152921
Abstract
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For design and simulation of solar energy systems, quality information about all components of solar irradiance is crucial. In cases when only global irradiance measurements are available, separation models are a useful method to estimate DNI and diffuse irradiation. Several of such models have been developed since the 1960s, most of them aiming to deliver estimates in hourly resolution. For higher data resolution, such as in minute data, those models are not able to describe fast transient and cloud enhancement phenomena commonly observed in data with smaller time-steps. This paper proposes an adaptation of the BRL separation model, making it capable of delivering more precise irradiance estimates for higher resolution data. Two models result from this adaptation: one for Brazil and other for Australia. The proposed models yield a more precise DNI and diffuse fraction estimates to their respective countries, compared to other separation models commonly used in the technical literature. For example, using the recommended Combined Performance Index (CPI) as a single statistical indicator, the proposed model yields DNI estimates with CPI from 230 to 350% for Australia, and from 270 to 800% for Brazil, while the Engerer model, recently recommended as a "quasi-universal" 1-min separation model, yields DNI estimates with CPI from 500 to 700% for Australia, and from 600 to 1800% for Brazil. (C) 2018 Elsevier Ltd. All rights reserved.
es_ES
Patrocinador
dc.description.sponsorship
CAPES (Brazilian Federal Agency for Support and Evaluation of Graduate Education)
"Solar Energy Research Center"-SERC-Chile
CONICYT/FONDAP 15110019
European Union's Seventh Framework Programme (FP7 THEME)
SPA.2011.1.5-02
283576