Estimation of monthly mean daily diffuse radiation in China
Yingni Jiang
Applied Energy, 2009, vol. 86, issue 9, 1458-1464
Abstract:
In this study, several equations are employed to estimate monthly mean daily diffuse solar radiation for eight typical meteorological stations in China. Estimated values are compared with measured values in terms of statistical error tests such as mean percentage error (MPE), mean bias error (MBE), root mean square error (RMSE). All the models fit the data adequately and can be used to estimate monthly mean daily diffuse solar radiation from global solar radiation and sunshine hours. This study finds that the quadratic model performed better than the other models: The measured values of monthly mean daily diffuse solar radiation for Kashi, Geermu, Shenyang, Chengdu and Zhengzhou stations are analyzed to test the generalization of the selected model. The model is found to be able to predict the measured data with good accuracy. Therefore, it is possible to estimate monthly mean daily diffuse solar radiation by using this equation.
Keywords: Monthly; mean; daily; diffuse; radiation; Global; solar; radiation; Sunshine; duration; Mean; percentage; error; Mean; bias; error; Root; mean; square; error (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (37)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306-2619(09)00002-6
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:86:y:2009:i:9:p:1458-1464
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().