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Generation of typical solar radiation year for China

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  • Zhou, Jin
  • Wu, Yezheng
  • Yan, Gang

Abstract

Applying the daily global solar radiation data measured at least 10 years, the typical solar radiation year for 30 meteorological stations in China is generated using the Finkelstein–Schafer statistical method. Based on the typical solar radiation data obtained, the geographical difference of solar energy resource of these 30 stations was also analyzed. The results in this paper will fill this gap that complete and detailed typical solar radiation data are not available for China, and will be useful to the designers of solar energy conversion and utilization devices.

Suggested Citation

  • Zhou, Jin & Wu, Yezheng & Yan, Gang, 2006. "Generation of typical solar radiation year for China," Renewable Energy, Elsevier, vol. 31(12), pages 1972-1985.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:12:p:1972-1985
    DOI: 10.1016/j.renene.2005.09.013
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    References listed on IDEAS

    as
    1. Rensheng, Chen & Ersi, Kang & Jianping, Yang & Shihua, Lu & Wenzhi, Zhao & Yongjian, Ding, 2004. "Estimation of horizontal diffuse solar radiation with measured daily data in China," Renewable Energy, Elsevier, vol. 29(5), pages 717-726.
    2. Mosalam Shaltout, M.A. & Tadros, M.T.Y., 1994. "Typical solar radiation year for Egypt," Renewable Energy, Elsevier, vol. 4(4), pages 387-393.
    3. Xiao, Chaofeng & Luo, Huilong & Tang, Runsheng & Zhong, Hao, 2004. "Solar thermal utilization in China," Renewable Energy, Elsevier, vol. 29(9), pages 1549-1556.
    4. Junfeng, Li & Wan, Yih-huei & Ohi, James M., 1997. "Renewable energy development in China: Resource assessment, technology status, and greenhouse gas mitigation potential," Applied Energy, Elsevier, vol. 56(3-4), pages 381-394, March.
    5. Said, S.A.M. & Kadry, H.M., 1994. "Generation of representative weather--Year data for Saudi Arabia," Applied Energy, Elsevier, vol. 48(2), pages 131-136.
    6. Petrakis, M. & Kambezidis, H.D. & Lykoudis, S. & Adamopoulos, A.D. & Kassomenos, P. & Michaelides, I.M. & Kalogirou, S.A. & Roditis, G. & Chrysis, I. & Hadjigianni, A., 1998. "Generation of a “typical meteorological year” for Nicosia, Cyprus," Renewable Energy, Elsevier, vol. 13(3), pages 381-388.
    7. Jin, Zhou & Yezheng, Wu & Gang, Yan, 2004. "Estimation of daily diffuse solar radiation in China," Renewable Energy, Elsevier, vol. 29(9), pages 1537-1548.
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    Cited by:

    1. Zang, Haixiang & Xu, Qingshan & Bian, Haihong, 2012. "Generation of typical solar radiation data for different climates of China," Energy, Elsevier, vol. 38(1), pages 236-248.
    2. Pusat, Saban & Ekmekçi, İsmail & Akkoyunlu, Mustafa Tahir, 2015. "Generation of typical meteorological year for different climates of Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 144-151.
    3. Oluwaseu Kilanko & Sunday O Oyedepo & Joseph O Dirisu & Richard O Leramo & Philip Babalola & Abraham K Aworinde & Mfon Udo & Alexander M Okonkwo & Marvelous I Akomolafe, 2023. "Typical meteorological year data analysis for optimal usage of energy systems at six selected locations in Nigeria," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 637-658.
    4. Haixiang Zang & Miaomiao Wang & Jing Huang & Zhinong Wei & Guoqiang Sun, 2016. "A Hybrid Method for Generation of Typical Meteorological Years for Different Climates of China," Energies, MDPI, vol. 9(12), pages 1-19, December.
    5. Abreu, Edgar F.M. & Canhoto, Paulo & Prior, Victor & Melicio, R., 2018. "Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements," Renewable Energy, Elsevier, vol. 127(C), pages 398-411.
    6. Kulesza, Kinga, 2017. "Comparison of typical meteorological year and multi-year time series of solar conditions for Belsk, central Poland," Renewable Energy, Elsevier, vol. 113(C), pages 1135-1140.

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