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An Improved Ångström-Type Model for Estimating Solar Radiation over the Tibetan Plateau

Author

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  • Jiandong Liu

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
    Regional Climate Group, Department of Earth Sciences, University of Gothenburg, SE-405 30 Gothenburg, Sweden)

  • Tao Pan

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Center for System Integration and Sustainability, Michigan State University, East Lansing, MI 48823, USA)

  • Deliang Chen

    (Regional Climate Group, Department of Earth Sciences, University of Gothenburg, SE-405 30 Gothenburg, Sweden)

  • Xiuji Zhou

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China)

  • Qiang Yu

    (Plant Functional and Climate Change Cluster, University of Technology, Sydney 2007, Australia)

  • Gerald N. Flerchinger

    (USDA-ARS, Northwest Watershed Research Center, Boise, ID 83712, USA)

  • De Li Liu

    (NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga, NSW 2650, Australia)

  • Xintong Zou

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Hans W. Linderholm

    (Regional Climate Group, Department of Earth Sciences, University of Gothenburg, SE-405 30 Gothenburg, Sweden)

  • Jun Du

    (Climate Center, Tibet Autonomous Meteorological Administration, Lhasa 850000, China)

  • Dingrong Wu

    (State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China)

  • Yanbo Shen

    (Centre for Solar and Wind Energy Research, China Meteorological Administration, Beijing 100081, China)

Abstract

For estimating the annual mean of daily solar irradiation in plateau mountainous regions, observed data from 15 radiation stations were used to validate different empirical estimation methods over the Tibetan Plateau. Calibration indicates that sunshine-based site-dependent models perform better than temperature-based ones. Then, the highly rated sunshine-based Ångström model and temperature-based Bristow model were selected for regional application. The geographical models perform much better than the average models, but still not ideally. To achieve better performance, the Ångström-type model was improved using altitude and water vapor pressure as the leading factors. The improved model can accurately predict the coefficients at all the stations, and performs the best among all models with an average Nash-Sutcliffe Efficiency value of 0.856. Spatial distribution of the annual mean of daily solar irradiation was then estimated with the improved model. It is indicated that there is an increasing trend of radiation from east to west, with a great center of the annual mean of daily solar irradiation on southwest Tibetan Plateau ranging from 20 to 24 MJ·m −2 . The improved model should be further validated against observations before its applications in other plateau mountainous regions.

Suggested Citation

  • Jiandong Liu & Tao Pan & Deliang Chen & Xiuji Zhou & Qiang Yu & Gerald N. Flerchinger & De Li Liu & Xintong Zou & Hans W. Linderholm & Jun Du & Dingrong Wu & Yanbo Shen, 2017. "An Improved Ångström-Type Model for Estimating Solar Radiation over the Tibetan Plateau," Energies, MDPI, vol. 10(7), pages 1-28, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:892-:d:103293
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    References listed on IDEAS

    as
    1. Qin, Jun & Chen, Zhuoqi & Yang, Kun & Liang, Shunlin & Tang, Wenjun, 2011. "Estimation of monthly-mean daily global solar radiation based on MODIS and TRMM products," Applied Energy, Elsevier, vol. 88(7), pages 2480-2489, July.
    2. Wang, Qiang & Qiu, Huan-Ning, 2009. "Situation and outlook of solar energy utilization in Tibet, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2181-2186, October.
    3. Yaghoubi, M.A. & Sabzevari, A., 1996. "Further data on solar radiation in Shiraz, Iran," Renewable Energy, Elsevier, vol. 7(4), pages 393-399.
    4. Wong, L. T. & Chow, W. K., 2001. "Solar radiation model," Applied Energy, Elsevier, vol. 69(3), pages 191-224, July.
    5. Bahel, V. & Srinivasan, R. & Bakhsh, H., 1987. "Statistical comparison of correlations for estimation of global horizontal solar radiation," Energy, Elsevier, vol. 12(12), pages 1309-1316.
    6. Kang, M.S. & Park, S.W. & Lee, J.J. & Yoo, K.H., 2006. "Applying SWAT for TMDL programs to a small watershed containing rice paddy fields," Agricultural Water Management, Elsevier, vol. 79(1), pages 72-92, January.
    7. Pan, Tao & Wu, Shaohong & Dai, Erfu & Liu, Yujie, 2013. "Estimating the daily global solar radiation spatial distribution from diurnal temperature ranges over the Tibetan Plateau in China," Applied Energy, Elsevier, vol. 107(C), pages 384-393.
    8. Janjai, S. & Pankaew, P. & Laksanaboonsong, J., 2009. "A model for calculating hourly global solar radiation from satellite data in the tropics," Applied Energy, Elsevier, vol. 86(9), pages 1450-1457, September.
    9. 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.
    10. Ampratwum, David B. & Dorvlo, Atsu S. S., 1999. "Estimation of solar radiation from the number of sunshine hours," Applied Energy, Elsevier, vol. 63(3), pages 161-167, July.
    11. Jacovides, C. P. & Kontoyiannis, H., 1995. "Statistical procedures for the evaluation of evapotranspiration computing models," Agricultural Water Management, Elsevier, vol. 27(3-4), pages 365-371, July.
    12. Boilley, Alexandre & Wald, Lucien, 2015. "Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface," Renewable Energy, Elsevier, vol. 75(C), pages 135-143.
    13. Liu, Xiaoying & Xu, Yinlong & Zhong, Xiuli & Zhang, Wenying & Porter, John Roy & Liu, Wenli, 2012. "Assessing models for parameters of the Ångström–Prescott formula in China," Applied Energy, Elsevier, vol. 96(C), pages 327-338.
    14. Bahel, V. & Bakhsh, H. & Srinivasan, R., 1987. "A correlation for estimation of global solar radiation," Energy, Elsevier, vol. 12(2), pages 131-135.
    15. Senkal, Ozan & Kuleli, Tuncay, 2009. "Estimation of solar radiation over Turkey using artificial neural network and satellite data," Applied Energy, Elsevier, vol. 86(7-8), pages 1222-1228, July.
    16. Yue, Cheng-Dar & Huang, Guo-Rong, 2011. "An evaluation of domestic solar energy potential in Taiwan incorporating land use analysis," Energy Policy, Elsevier, vol. 39(12), pages 7988-8002.
    17. Fadare, D.A., 2009. "Modelling of solar energy potential in Nigeria using an artificial neural network model," Applied Energy, Elsevier, vol. 86(9), pages 1410-1422, September.
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