Estimating monthly average daily diffuse solar radiation with multiple predictors: A case study

被引：82

作者：

Li, Huashan ^{[1
]}

Ma, Weibin ^{[1
]}

Wang, Xianlong ^{[1
]}

Lian, Yongwang ^{[1
]}

机构：

[1] Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy & Gas Hydrate, Guangzhou 510640, Guangdong, Peoples R China

来源：

RENEWABLE ENERGY | 2011年 / 36卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Solar radiation; Global radiation; Diffuse radiation; Meteorological parameter; Empirical model; METEOROLOGICAL PARAMETERS; GLOBAL RADIATION; PRECIPITABLE WATER; HORIZONTAL SURFACE; MODELS; FRACTION; COMPONENTS; DIVISION; TURKEY; EGYPT;

D O I：

10.1016/j.renene.2011.01.006

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Solar radiation measurements are not easily available, especially for the diffuse solar radiation. In this study, two models for estimating the diffuse solar radiation are proposed based on multiple predictors including the clearness index, relative sunshine duration, ambient temperature and relative humidity. One of them aims to increase the estimation accuracy, and the other aims to estimate the diffuse solar radiation direct from other meteorological elements in the absence of the global solar radiation. For a case study, the performance of the proposed models is validated by comparing with eight existing models selected from literature against the measured data at Guangzhou station in China. Through the analysis based on statistical error tests, results show that the two models can estimate the monthly average daily diffuse solar radiation with good accuracy. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1944 / 1948

页数：5

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