A new empirical model for forecasting the diffuse solar radiation over Sahara in the Algerian Big South

被引:68
作者
Bailek, Nadjem [1 ]
Bouchouicha, Kada [2 ]
Al-Mostafa, Zaki [3 ]
El-Shimy, Mohamed [4 ]
Aoun, Nouar [2 ]
Slimani, Abdeldjalil [2 ]
Al-Shehri, Saad [3 ]
机构
[1] Univ DJILALI Liabes Sidi Bel Abbes, Fac Exact Sci, Dept Phys, Modeling & Simulat Mat Sci Lab, Sidi Bel Abbes, Algeria
[2] CDER, URERMS, Adrar 01000, Algeria
[3] King Abdulaziz City Sci & Technol, Natl Astron Ctr, Riyadh, Saudi Arabia
[4] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo, Egypt
关键词
Diffuse solar radiation; Clearness index; Sunshine duration; Algerian big south; MONTHLY-AVERAGE; IRRADIATION; SUNSHINE; TURKEY; EGYPT; SURFACES; FRACTION; REGION; CHINA; IRAN;
D O I
10.1016/j.renene.2017.10.081
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate estimation of diffuse solar radiation (DSR) is among the critical concerns in successful solar energy projects. This paper presents a systematic approach for DSR estimation over the Algerian Sahara. The authors explore the available meteorological and radiometric data. These data include the sunshine hour fraction (ratio of sunshine duration to maximum possible sunshine hours), and the relative clearness index. The data cover a period of six years from 2010 to 2015 measured in the Adrar region. Through an elaborated statistical performance analysis, thirty-five models were tested for constructing the most accurate empirical model for estimating the monthly average daily DSR over the Saharian medium. The proposed correlation models were compared with 8 models available in the literature using the widely used statistical indicators i.e. MPE, RMSE, U-95, R, TS and GPI. From this analysis, the quadratic equation model is selected as the most accurate model. The study concluded that the suggested correlation is applicable to estimate the monthly average daily diffuse radiation on a horizontal surface for any location over the Algerian Sahara region, which can serve as a resource for the design of photovoltaic systems. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:530 / 537
页数:8
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