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Author:

Kang, Longyun (Kang, Longyun.) | Zhou, Shiqiong (Zhou, Shiqiong.) | Yu, Kaijiang (Yu, Kaijiang.)

Indexed by:

EI

Abstract:

A total of 12 models in linear quadratic, cubic, exponential and power forms using only sunshine hours, latitude, and altitude were developed and compared to estimate the daily global solar radiation on a horizontal surface for 6 weather stations at plateaus zone, China. The models were compared on the basis of statistical error tests using the root mean square error (RMSE), mean bias error (MBE), and adjusted coefficient of determination (R2). For each individual station, the errors resulting from the better equations are such that R2lies between 73.039% in Lasa and 92.871% in Geermu, MBE is under 0.162(MJ/m2) in Yushu and RSME does not go beyond 3.073(MJ/m2) in Lasa. A general equation was established for the plateaus zone, and the R2, MBE and RSME values vary from 84.74% to 85.10%,from -0.3747 to 0.0396 (MJ/m2) and from 2.7224 to 2.7739 (MJ/m2) respectively. Results show that the present model can be recommended in engineering practice with adequate accuracy.

Keyword:

China Coefficient of determination Daily global solar radiation Engineering practices Global solar radiation Horizontal surfaces Root mean square errors Sunshine duration

Author Community:

  • [ 1 ] [Kang, Longyun;Zhou, Shiqiong]School of Electric Power, South China University of Technology, Guangdong Key Laboratory of Clean Energy Technology, 510640 Guangzhou, China
  • [ 2 ] [Kang, Longyun]School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
  • [ 3 ] [Kang, Longyun;Yu, Kaijiang]School of Mechanical and Automotive Engineering, South China University of Technology, 510640 Guangzhou, China

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Source :

2009 3rd International Conference on Power Electronics Systems and Applications, PESA 2009

ISSN: 9781424438457

Year: 2009

Publish Date: 2009

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 37

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