Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation

被引:256
|
作者
Despotovic, Milan [1 ]
Nedic, Vladimir [1 ]
Despotovic, Danijela [2 ]
Cvetanovic, Slobodan [3 ]
机构
[1] Univ Kragujevac, Fac Engn, Kragujevac, Serbia
[2] Univ Kragujevac, Fac Econ, Kragujevac, Serbia
[3] Univ Nis, Fac Econ, Nish, Serbia
来源
关键词
Solar energy; Solar radiation models; Empirical models; Diffuse radiation; Model comparison; MONTHLY-AVERAGE; INCLINED SURFACES; GENERAL-MODELS; NEURAL-NETWORK; SUNSHINE; FRACTION; IRRADIATION; PERFORMANCE; VALIDATION; CLIMATE;
D O I
10.1016/j.rser.2015.11.058
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In many solar applications knowing diffuse solar radiation on horizontal surface represents an important requirement. The measurement of diffuse radiation is quite expensive, and because of that solar radiation measurements are not easily available in many locations around the world. Therefore many empirical correlations have been developed by various researchers to predict diffuse radiation from available meteorological data. The main objective of this study is to assess and compare different diffuse solar models available in the literature. These empirical models have been derived for specific location using long term measurements for that location. There is no general formula to calculate the diffuse solar radiation at any location in the world. While there are several studies in which authors compare different diffuse models for specific location, there is no comprehensive study in which these models are compared on a global scale. In this study we used statistical analysis to evaluate performance of analyzed models using long term measurements at 267 different sites around the world. Ten statistical quantitative indicators are used to evaluate different diffuse solar radiation models. The results are also visually presented by means of Taylor diagrams, which give a clear picture of how close a particular model is to measured data and how it is relatively compared to other models. (C) 2015 Elsevier Ltd. All rights reserved.
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页码:246 / 260
页数:15
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