Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/20.500.12008/37892
Cómo citar
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Lauret, Philippe | - |
dc.contributor.author | Alonso-Suárez, Rodrigo | - |
dc.contributor.author | Le Gal La Salle, Josselin | - |
dc.contributor.author | David, Mathieu | - |
dc.date.accessioned | 2023-06-30T17:27:24Z | - |
dc.date.available | 2023-06-30T17:27:24Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Lauret, P., Alonso-Suárez, R,. Le Gal La Salle, J. y otros. Solar forecasts based on the clear sky index or the clearness index: which is better? [en línea] Solar, 2022, 2, p. 432-444. DOI: https://doi.org/10.3390/solar2040026 | es |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/37892 | - |
dc.description.abstract | In the realm of solar forecasting, it is common to use a clear sky model output to deseasonalise the solar irradiance time series needed to build the forecasting models. However, most of these clear sky models require the setting of atmospheric parameters for which accurate values may not be available for the site under study. This can hamper the accuracy of the prediction models. Normalisation of the irradiance data with a clear sky model leads to the construction of forecasting models with the so-called clear sky index. Another way to normalize the irradiance data is to rely on the extraterrestrial irradiance, which is the irradiance at the top of the atmosphere. Extraterrestrial irradiance is defined by a simple equation that is related to the geometric course of the sun. Normalisation with the extraterrestrial irradiance leads to the building of models with the clearness index. In the solar forecasting domain, most models are built using time series based on the clear sky index. However, there is no empirical evidence thus far that the clear sky index approach outperforms the clearness index approach. Therefore the goal of this preliminary study is to evaluate and compare the two approaches. The numerical experimental setup for evaluating the two approaches is based on three forecasting methods, namely, a simple persistence model, a linear AutoRegressive (AR) model, and a non-linear neural network (NN) model, all of which are applied at six sites with different sky conditions. It is shown that normalization of the solar irradiance with the help of a clear sky model produces better forecasts irrespective of the type of model used. However, it is demonstrated that a nonlinear forecasting technique such as a neural network built with clearness time series can beat simple linear models constructed with the clear sky index. | es |
dc.format.extent | p.432-444 | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | en | es |
dc.relation.ispartof | Solar 2, no. 4 | es |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject | Solar irradiance forecasts | es |
dc.subject | Clear sky index | es |
dc.subject | Clearness index | es |
dc.subject | Extraterrestrial irradiance | es |
dc.subject | Clear sky model | es |
dc.title | Solar forecasts based on the clear sky index or the clearness index: which is better? | es |
dc.type | Artículo | es |
dc.contributor.filiacion | Lauret Philippe, University of La Reunion, PIMENT Laboratory. Saint-Denis, Francia | - |
dc.contributor.filiacion | Alonso-Suárez Rodrigo, Universidad de la República (Uruguay). Laboratorio de Energía Solar. Departamento de Física del CeNUR Litoral Norte. Facultad de Ingeniería. | - |
dc.contributor.filiacion | Le Gal La Salle Josselin, University of La Reunion, PIMENT Laboratory. Saint-Denis, Francia | - |
dc.contributor.filiacion | David Mathieu, University of La Reunion, PIMENT Laboratory. Saint-Denis, Francia | - |
dc.rights.licence | Licencia Creative Commons Atribución (CC - By 4.0) | es |
dc.identifier.doi | https://doi.org/10.3390/solar2040026 | - |
Aparece en las colecciones: | Publicaciones académicas y científicas - Laboratorio de Energía Solar (LES) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
---|---|---|---|---|---|
LALS22.pdf | Artículo | 2,28 MB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons