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An investigation on the attenuation effect of air pollution on regional solar radiation

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  • Zhang, Chunxiao
  • Shen, Chao
  • Yang, Qianru
  • Wei, Shen
  • Lv, Guoquan
  • Sun, Cheng

Abstract

Due to the continuous increase of environmental pollution in recent years, the high concentration of particulate matters in air has greatly reduced the amount of solar radiation that can reach the earth, and this reduction has a direct effect on the use of solar energy in buildings. To quantify this attenuation effect, historical meteorological data collected from five regions, namely, Beijing, Tianjin, Jinan, Xi’an and Zhengzhou, in China from 2014 to 2016 were used to investigate the correlation between clearness index (reflecting available radiation) and air quality index (reflecting pollution level). The analysis results have revealed that higher air quality index would result in lower clearness index, and the sunny days gave higher decreasing rate than cloudy days. For all five regions, their monthly clearness index attenuation showed higher values in winter than that in summer. The monthly solar radiation attenuation, however, showed an opposite trend, due to higher solar altitude in summer. Additionally, different regions had different annual solar radiation attenuation ratio, with Tianjin giving the highest of 6.56% (651.17 MJ/m2), followed by Beijing (3.92%, 410.08 MJ/m2), Xi’an (4.94%, 510.42 MJ/m2), Zhengzhou (3.99%, 427.64 MJ/m2) and Jinan (2.69%, 284.66 MJ/m2).

Suggested Citation

  • Zhang, Chunxiao & Shen, Chao & Yang, Qianru & Wei, Shen & Lv, Guoquan & Sun, Cheng, 2020. "An investigation on the attenuation effect of air pollution on regional solar radiation," Renewable Energy, Elsevier, vol. 161(C), pages 570-578.
  • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:570-578
    DOI: 10.1016/j.renene.2020.07.146
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    References listed on IDEAS

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    1. Wu, Shuang-Ying & Chen, Chen & Xiao, Lan, 2018. "Heat transfer characteristics and performance evaluation of water-cooled PV/T system with cooling channel above PV panel," Renewable Energy, Elsevier, vol. 125(C), pages 936-946.
    2. Day, Joseph & Senthilarasu, S. & Mallick, Tapas K., 2019. "Improving spectral modification for applications in solar cells: A review," Renewable Energy, Elsevier, vol. 132(C), pages 186-205.
    3. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    4. Zhao, Qun & Yao, Wanxiang & Zhang, Chunxiao & Wang, Xiao & Wang, Yan, 2019. "Study on the influence of fog and haze on solar radiation based on scattering-weakening effect," Renewable Energy, Elsevier, vol. 134(C), pages 178-185.
    5. Ahmed, Omer K. & Hamada, Khalaf I. & Salih, Abdulrazzaq M., 2019. "Enhancement of the performance of Photovoltaic/Trombe wall system using the porous medium: Experimental and theoretical study," Energy, Elsevier, vol. 171(C), pages 14-26.
    6. Shen, Chao & Lv, Guoquan & Wei, Shen & Zhang, Chunxiao & Ruan, Changyun, 2020. "Investigating the performance of a novel solar lighting/heating system using spectrum-sensitive nanofluids," Applied Energy, Elsevier, vol. 270(C).
    7. Fan, Junliang & Wu, Lifeng & Zhang, Fucang & Cai, Huanjie & Wang, Xiukang & Lu, Xianghui & Xiang, Youzhen, 2018. "Evaluating the effect of air pollution on global and diffuse solar radiation prediction using support vector machine modeling based on sunshine duration and air temperature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 732-747.
    8. Khalil, Samy A. & Shaffie, A.M., 2016. "Attenuation of the solar energy by aerosol particles: A review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 363-375.
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    4. Jia, Dongyu & Yang, Liwei & Lv, Tao & Liu, Weiping & Gao, Xiaoqing & Zhou, Jiaxin, 2022. "Evaluation of machine learning models for predicting daily global and diffuse solar radiation under different weather/pollution conditions," Renewable Energy, Elsevier, vol. 187(C), pages 896-906.
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    7. Grzegorz Trzmiel & Jaroslaw Jajczyk & Ewa Kardas-Cinal & Norbert Chamier-Gliszczynski & Waldemar Wozniak & Konrad Lewczuk, 2021. "The Condition of Photovoltaic Modules under Random Operation Parameters," Energies, MDPI, vol. 14(24), pages 1-18, December.

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