太阳成8722(中国)有限公司-GREEN NO.1

标题：Evaluation of sunshine-based models for predicting diffuse solar radiation in China

作者： Feng, L (Feng, Lan); Lin, AW (Lin, Aiwen); Wang, LC (Wang, Lunche); Qin, WM (Qin, Wenmin); Gong, W (Gong, Wei)

来源出版物：RENEWABLE & SUSTAINABLE ENERGY REVIEWS 卷：94  页码：168-182 DOI：10.1016/j.rser.2018.06.009   出版年：OCT 2018

摘要： Accurate observation and understanding of diffuse radiation is of vital importance for solar energy applications. Numerous empirical models have been developed for estimating solar radiation in regional and global scales, owing to the relatively sparse radiation measurements. The main objective of this study was to conduct a comprehensive evaluation of 15 typical empirical models for estimating diffuse radiation in different climate zones over mainland China. The result showed that the model in form of second order polynomial performed superior than other models, with mean MBE, MAE, MARE, RMSE, RRMSE, t-stat, STD, and R at all 17 CMA stations were -0.125 MJ m(-2) day(-1), 1.331 MJ m(-2) day-1, 0.208 MJ m(-2) day(-1),1.807 MJ m(-2) day(-1), 24.889%, 10.866, 0.941 MJ m(-2) day-1, and 0.792, respectively. By contrast, the model in form of fractional first order polynomial showed the poorest performance than other models, with mean MAE, MARE, RMSE, RRMSE, t-stat, STD, and R of-0.699 MJ m(-2) day(-1), 2.508 MJ m(-2)day(-1), 0.397 MJ m(-2) day(-1), 6.779 MJ m(-2) day(-1), 102.716%, 6.709, 1.773 MJ m(-2) day(-1), and 0.519, respectively. All models generally showed poor accuracies in arid areas with warm-temperate climate, due to the frequent dust occurrences in the air. The estimation errors in Qinghai-Tibet Plateau were also relatively larger, owing to the strong heating atmosphere there. This study would assist in the selection of the most appropriate models for solar energy applications.

入藏号：WOS:000446310000012

文献类型：Review

语种：English

作者关键词： Sunshine-based models; Diffuse solar radiation; China

通讯作者地址：Lin, AW (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
Wang, LC (reprint author), China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut, Wuhan 430074, Hubei, Peoples R China.

电子邮件地址：awlin@whu.edu.cn; wang@cug.edu.cn

地址：

[Feng, Lan; Lin, Aiwen] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Wang, Lunche; Qin, Wenmin] China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut, Wuhan 430074, Hubei, Peoples R China.
[Gong, Wei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.

影响因子：9.184