Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:108

Review

Chen, Ji-Long¹  He, Lei²  Yang, Hong³  Ma, Maohua¹  Chen, Qiao¹  Wu, Sheng-Jun¹  Xiao, Zuo-Lin⁴ 

[1] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Key Lab Water Environm Reservoir Watershed, Chongqing 401122, Peoples R China

[2] Minist Educ, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330000, Jiangxi, Peoples R China

[3] Univ Reading, Dept Geog & Environm Sci, Reading RG6 6AB, Berks, England

[4] Chongqing Normal Univ, Key Lab GIS Applicat Res, Chongqing 401331, Peoples R China

关键词: Global solar radiation;    Empirical models;    Meteorological variables;    Comparisons;    Three Gorges Reservoir Area;   

DOI  :  10.1016/j.rser.2019.03.033

来源: Elsevier

【 摘 要 】

Global solar radiation is a core component of scientific research and engineering application across a broad spectrum. However, its measurement is limited by a small number of stations due to the technical and financial restricts. Estimating solar radiation with the meteorological variables using empirical models is of benefit to obtain solar radiation data at global scale. Yet, there are various options of available empirical models to select the most suitable one. This study conducted a most comprehensive collection and review of empirical models employing the commonly measured meteorological variables and geographic factors. A total of 294 different types of empirical models were collected and classified into 37 groups according to input attributes. Such collection built an empirical model library providing an overall overview of the developed empirical models in literatures. Furthermore, the collected models were calibrated and evaluated at three meteorological stations in the Three Gorges Reservoir Area in China. This study suggests that these model-comparing processes can assist the governments, scientists and engineers in tailoring the most fitted model for specific applications and in particular areas.

【 授权许可】

Free