• DocumentCode
    501068
  • Title

    Global solar radiation estimation based on sunshine duration at plateaus zone, China

  • Author

    Kang, Longyun ; Zhou, Shiqiong ; Yu, Kaijiang

  • Author_Institution
    Guangdong Key Lab. of Clean Energy Technol., South China Univ. of Technol., Guangzhou, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • 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 R2 lies 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.
  • Keywords
    error statistics; mean square error methods; solar radiation; sunlight; adjusted coefficient of determination; global solar radiation estimation; mean bias error; plateaus zone; root mean square error; statistical error tests; sunshine duration; Equations; Laboratories; Mechanical engineering; Meteorology; Power electronics; Predictive models; Root mean square; Solar radiation; Temperature; Testing; China; Daily global solar radiation; Plateaus zone; Sunshine duration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Systems and Applications, 2009. PESA 2009. 3rd International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-3845-7
  • Type

    conf

  • Filename
    5228661