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

被引：79

作者：

Furlan, Claudia ^{[1
]}

de Oliveira, Amauri Pereira ^{[2
]}

Soares, Jacyra ^{[2
]}

Codato, Georgia ^{[2
]}

Escobedo, Joao Francisco ^{[3
]}

机构：

[1] Univ Padua, Dept Stat Sci, Padua, Italy

[2] Univ Sao Paulo, Grp Micrometeorol, Dept Atmospher Sci, Inst Astron Geophys & Atmospher Sci, Sao Paulo, Brazil

[3] State Univ Sao Paulo, Dept Nat Sci, Sch Agron Sci, Botucatu, SP, Brazil

来源：

APPLIED ENERGY | 2012年 / 92卷

基金：

巴西圣保罗研究基金会;

关键词：

Regression; Diffuse solar radiation model; Cloud; Correlation models; Liu-Jordan; SAO-PAULO; SPECTRAL IRRADIANCE; NEURAL-NETWORK; SKY CONDITIONS; FRACTION; PERFORMANCE; ENERGY; VALIDATION; SUNSHINE; URBAN;

D O I：

10.1016/j.apenergy.2011.10.032

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：240 / 254

页数：15

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