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Evaluation of diffuse solar radiation models in Northern China: New model establishment and radiation sources comparison

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  • Cao, Fei
  • Li, Huashan
  • Yang, Tian
  • Li, Yan
  • Zhu, Tianyu
  • Zhao, Liang

Abstract

Conventional methods to obtain solar radiation data are from weather stations, from solar radiation models, from commercial software databases and from field measurements. Few studies have been presented to compare the results from the four mentioned methods. Considering this, new daily diffuse solar radiation models for Northern China climates are first established in this study. The solar radiation models are then compared with open-access weather station data from China Meteorological Data Sharing System (CMDSS), with TRNSYS database data and with measured data in Xi'an. TRNSYS supplies the Typical Meteorological Year data, while the solar radiation models give the long-term annual average results. It is found that combining the sunshine duration and the day of the year together can establish a group of accurate diffuse solar radiation models. Good agreements are found between the CMDSS and the newly established solar radiation model calculating daily diffuse solar radiation. The diffuse solar radiation estimated by TRNSYS is a bit higher than that from the open-access website in summer half year. TRNSYS supplies the highest annual diffuse solar radiation. The TRNSYS database is of high significance to a solar system performance evaluation. The solar radiation models can be used for the solar system design.

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  • Cao, Fei & Li, Huashan & Yang, Tian & Li, Yan & Zhu, Tianyu & Zhao, Liang, 2017. "Evaluation of diffuse solar radiation models in Northern China: New model establishment and radiation sources comparison," Renewable Energy, Elsevier, vol. 103(C), pages 708-720.
    • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:708-720
    DOI: 10.1016/j.renene.2016.11.004
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    1. Li, Huashan & Bu, Xianbiao & Lian, Yongwang & Zhao, Liang & Ma, Weibin, 2012. "Further investigation of empirically derived models with multiple predictors in estimating monthly average daily diffuse solar radiation over China," Renewable Energy, Elsevier, vol. 44(C), pages 469-473.
    2. Rehman, Shafiqur & Mohandes, Mohamed, 2008. "Artificial neural network estimation of global solar radiation using air temperature and relative humidity," Energy Policy, Elsevier, vol. 36(2), pages 571-576, February.
    3. Pandey, Chanchal Kumar & Katiyar, A.K., 2009. "A comparative study to estimate daily diffuse solar radiation over India," Energy, Elsevier, vol. 34(11), pages 1792-1796.
    4. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2016. "Recent improvements of the Meteorological Radiation Model for solar irradiance estimates under all-sky conditions," Renewable Energy, Elsevier, vol. 93(C), pages 142-158.
    5. Wu, M.S. & Huang, H.H. & Huang, B.J. & Tang, C.W. & Cheng, C.W., 2009. "Economic feasibility of solar-powered led roadway lighting," Renewable Energy, Elsevier, vol. 34(8), pages 1934-1938.
    6. Bakirci, Kadir, 2009. "Models of solar radiation with hours of bright sunshine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2580-2588, December.
    7. Nandwani, Shyam S., 2007. "Design, construction and study of a hybrid solar food processor in the climate of Costa Rica," Renewable Energy, Elsevier, vol. 32(3), pages 427-441.
    8. Arabkoohsar, A. & Ismail, K.A.R. & Machado, L. & Koury, R.N.N., 2016. "Energy consumption minimization in an innovative hybrid power production station by employing PV and evacuated tube collector solar thermal systems," Renewable Energy, Elsevier, vol. 93(C), pages 424-441.
    9. Kaplanis, S. & Kaplani, E., 2007. "A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values," Renewable Energy, Elsevier, vol. 32(8), pages 1414-1425.
    10. Li, Huashan & Ma, Weibin & Wang, Xianlong & Lian, Yongwang, 2011. "Estimating monthly average daily diffuse solar radiation with multiple predictors: A case study," Renewable Energy, Elsevier, vol. 36(7), pages 1944-1948.
    11. Janjai, S. & Praditwong, P. & Moonin, C., 1996. "A new model for computing monthly average daily diffuse radiation for Bangkok," Renewable Energy, Elsevier, vol. 9(1), pages 1283-1286.
    12. Li, Huashan & Ma, Weibin & Lian, Yongwang & Wang, Xianlong & Zhao, Liang, 2011. "Global solar radiation estimation with sunshine duration in Tibet, China," Renewable Energy, Elsevier, vol. 36(11), pages 3141-3145.
    13. Li, Huashan & Ma, Weibin & Lian, Yongwang & Wang, Xianlong, 2010. "Estimating daily global solar radiation by day of year in China," Applied Energy, Elsevier, vol. 87(10), pages 3011-3017, October.
    14. Jiang, Yingni, 2009. "Estimation of monthly mean daily diffuse radiation in China," Applied Energy, Elsevier, vol. 86(9), pages 1458-1464, September.
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