The role of clouds in improving the regression model for hourly values of diffuse solar radiation


Autoria(s): Furlan, Claudia; de Oliveira, Amauri Pereira; Soares, Jacyra; Codato, Georgia; Escobedo, João Francisco
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/04/2012

Resumo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The study introduces a new regression model developed to estimate the hourly values of diffuse solar radiation at the surface. The model is based on the clearness index and diffuse fraction relationship, and includes the effects of cloud (cloudiness and cloud type), traditional meteorological variables (air temperature, relative humidity and atmospheric pressure observed at the surface) and air pollution (concentration of particulate matter observed at the surface). The new model is capable of predicting hourly values of diffuse solar radiation better than the previously developed ones (R-2 = 0.93 and RMSE = 0.085). A simple version with a large applicability is proposed that takes into consideration cloud effects only (cloudiness and cloud height) and shows a R-2 = 0.92. (C) 2011 Elsevier Ltd. All rights reserved.

Formato

240-254

Identificador

http://dx.doi.org/10.1016/j.apenergy.2011.10.032

Applied Energy. Oxford: Elsevier B.V., v. 92, p. 240-254, 2012.

0306-2619

http://hdl.handle.net/11449/5123

10.1016/j.apenergy.2011.10.032

WOS:000300463800027

Idioma(s)

eng

Publicador

Elsevier B.V.

Relação

Applied Energy

Direitos

closedAccess

Palavras-Chave #Regression #Diffuse solar radiation model #Cloud #Correlation models #Liu-Jordan
Tipo

info:eu-repo/semantics/article