کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8110381 | 1522290 | 2018 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluation of sunshine-based models for predicting diffuse solar radiation in China
ترجمه فارسی عنوان
ارزیابی مدل های مبتنی بر آفتاب برای پیش بینی تابش خورشید پویا در چین
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کلمات کلیدی
مدل های مبتنی بر آفتاب، تابش خورشید تابشی، چین،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
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 ââ¯0.125â¯MJâ¯mâ2dayâ1, 1.331â¯MJâ¯mâ2 dayâ1, 0.208â¯MJâ¯mâ2 dayâ1,1.807â¯MJâ¯mâ2 dayâ1, 24.889%, 10.866, 0.941â¯MJâ¯mâ2 dayâ1, 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 ââ¯0.699â¯MJâ¯mâ2dayâ1, 2.508â¯MJâ¯mâ2dayâ1, 0.397â¯MJâ¯mâ2 dayâ1, 6.779â¯MJâ¯mâ2 dayâ1, 102.716%, 6.709, 1.773â¯MJâ¯mâ2 dayâ1, 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable and Sustainable Energy Reviews - Volume 94, October 2018, Pages 168-182
Journal: Renewable and Sustainable Energy Reviews - Volume 94, October 2018, Pages 168-182
نویسندگان
Lan Feng, Aiwen Lin, Lunche Wang, Wenmin Qin, Wei Gong,