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An advanced clear-sky model for more accurate irradiance and illuminance predictions for arbitrarily oriented inclined surfaces

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  • Petržala, J.
  • Kómar, L.
  • Kocifaj, M.

Abstract

The article proposes a clear-sky physical model for the calculation of solar irradiances and illuminances. In contrast to other empirical models, ours takes into account the actual atmospheric pollution conditions, characterized by the optical parameters of atmospheric aerosols. Even if these optical parameters have not been measured directly, the model enables us to estimate their values from routinely measured solar radiation or daylight quantities at actinometric or daylight measurement stations and consequently to predict quantities not directly measured: irradiances and illuminances on arbitrary oriented or inclined surfaces. The software solution we have developed is demonstrated by a set of numerical experiments that are compared against the measurements.

Suggested Citation

  • Petržala, J. & Kómar, L. & Kocifaj, M., 2017. "An advanced clear-sky model for more accurate irradiance and illuminance predictions for arbitrarily oriented inclined surfaces," Renewable Energy, Elsevier, vol. 106(C), pages 212-221.
    • Handle: RePEc:eee:renene:v:106:y:2017:i:c:p:212-221
    DOI: 10.1016/j.renene.2017.01.025
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    References listed on IDEAS

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    Cited by:

    1. Barbón, A. & Fortuny Ayuso, P. & Bayón, L. & Fernández-Rubiera, J.A., 2020. "Predicting beam and diffuse horizontal irradiance using Fourier expansions," Renewable Energy, Elsevier, vol. 154(C), pages 46-57.
    2. Ge, Chang & Yan, Jie & Zhang, Haoran & Li, Yuhao & Wang, Han & Liu, Yongqian, 2024. "Joint short-term power forecasting of hydro-wind-photovoltaic considering spatiotemporal delay of weather processes," Renewable Energy, Elsevier, vol. 237(PB).
    3. Lou, Siwei & Li, Danny H.W. & Alshaibani, Khalid A. & Xing, Haowei & Li, Zhengrong & Huang, Yu & Xia, Dawei, 2022. "An all-sky luminance and radiance distribution model for built environment studies," Renewable Energy, Elsevier, vol. 190(C), pages 822-835.
    4. Akarslan, Emre & Hocaoglu, Fatih Onur & Edizkan, Rifat, 2018. "Novel short term solar irradiance forecasting models," Renewable Energy, Elsevier, vol. 123(C), pages 58-66.
    5. Bo, Yu & Zhang, Yu & Zheng, Kunpeng & Zhang, Jingxu & Wang, Xiaochan & Sun, Jin & Wang, Jian & Shu, Sheng & Wang, Yu & Guo, Shirong, 2023. "Light environment simulation for a three-span plastic greenhouse based on greenhouse light environment simulation software," Energy, Elsevier, vol. 271(C).
    6. Yao, Wanxiang & Zhang, Kang & Cao, Weixue & Li, Xianli & Wang, Yan & Wang, Xiao, 2022. "Research on the correlation between solar radiation and sky luminance based on the principle of photothermal integration," Renewable Energy, Elsevier, vol. 194(C), pages 1326-1342.
    7. Xiaodan Zhang & Jian Lv & Jianming Xie & Jihua Yu & Jing Zhang & Chaonan Tang & Jing Li & Zhixue He & Cheng Wang, 2020. "Solar Radiation Allocation and Spatial Distribution in Chinese Solar Greenhouses: Model Development and Application," Energies, MDPI, vol. 13(5), pages 1-27, March.

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