Review and statistical analysis of different global solar radiation sunshine models

被引:267
|
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; Global solar radiation; Solar radiation models; Model comparison; BRIGHT SUNSHINE; DIFFUSE-RADIATION; METEOROLOGICAL DATA; EMPIRICAL RELATION; AIR-TEMPERATURE; IRRADIATION; DURATION; COEFFICIENTS; FORMULA; SURFACE;
D O I
10.1016/j.rser.2015.08.035
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
For the optimal design and selection of solar energy conversion systems, as well as for other fields of interest, such as architecture, agriculture, hydrology and ecology, the knowledge of accurate global solar radiation data is extremely important. However, due to the cost and difficulty in solar radiation measurements these data are not easily available for many countries. Therefore many empirical models have been developed by various researchers to predict global solar radiation from readily available data. The number of developed models is relatively high, which makes it difficult to choose the most appropriate one for a particular purpose and site. There are several studies in which authors evaluate different models for specific location. However, there is no comprehensive study in which these models are evaluated in case of global use. The main objective of this study is to evaluate different solar radiation models on global scale, which might be helpful in the selection of the most appropriate and accurate model based on the available sunshine data. Using the radiation data corresponding to 924 sites throughout the world we conducted a detailed statistical analysis of 101 different solar radiation models that are available in literature. Ten statistical indicators were used to assess models performance. In addition, we introduced specific global performance indicator (GPI), by means of which all analyzed models are depicted with a single parameter and easily ranked. (c) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1869 / 1880
页数:12
相关论文
共 50 条
  • [21] A FURTHER COMPARISON AND DISCUSSION OF SUNSHINE-BASED MODELS TO ESTIMATE GLOBAL SOLAR-RADIATION
    AKINOGLU, BG
    ECEVIT, A
    [J]. ENERGY, 1990, 15 (10) : 865 - 872
  • [22] Empirical models for the estimation of global solar radiation with sunshine hours on horizontal surface for Jharkhand (India)
    Namrata K.
    Sharma S.P.
    Seksena S.B.L.
    [J]. Applied Solar Energy, 2016, 52 (3) : 164 - 172
  • [23] Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
    Fan, Junliang
    Wu, Lifeng
    Zhang, Fucang
    Cai, Huanjie
    Zeng, Wenzhi
    Wang, Xiukang
    Zou, Haiyang
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 100 : 186 - 212
  • [24] Statistical comparison of global solar radiation estimation models over Turkey
    Demirhan, Haydar
    Mentes, Turhan
    Atilla, Mustafa
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 68 : 141 - 148
  • [26] Evaluation of Different Models for Global Solar Radiation Components Assessment
    Abdelhalim Rabehi
    Rabehi A.
    Guermoui M.
    [J]. Applied Solar Energy (English translation of Geliotekhnika), 2021, 57 (01): : 81 - 92
  • [27] The relationship between global solar radiation and sunshine duration in Vietnam
    Nguyen, BT
    Pryor, TL
    [J]. RENEWABLE ENERGY, 1997, 11 (01) : 47 - 60
  • [28] Computation of global solar radiation from sunshine hour data
    Rahman, MM
    [J]. INDIAN JOURNAL OF PURE & APPLIED PHYSICS, 1997, 35 (04) : 290 - 295
  • [29] Global solar radiation estimation with sunshine duration in Tibet, China
    Li, Huashan
    Ma, Weibin
    Lian, Yongwang
    Wang, Xianlong
    Zhao, Liang
    [J]. RENEWABLE ENERGY, 2011, 36 (11) : 3141 - 3145
  • [30] Global solar radiation estimation using sunshine duration in Spain
    Almorox, J
    Hontoria, C
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2004, 45 (9-10) : 1529 - 1535