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Light environment simulation for a three-span plastic greenhouse based on greenhouse light environment simulation software

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Listed:
  • Bo, Yu
  • Zhang, Yu
  • Zheng, Kunpeng
  • Zhang, Jingxu
  • Wang, Xiaochan
  • Sun, Jin
  • Wang, Jian
  • Shu, Sheng
  • Wang, Yu
  • Guo, Shirong

Abstract

Light environment research in greenhouses is mainly focused on solar greenhouses with simple structures; the universality of illumination models is low to date. To study the light environments in various of greenhouses, Greenhouse Light Environment Simulation software has been developed based on the ray tracing and Monte Carlo methods. The function of the software is to analyse the light path of the sampling point. The software has been verified and applied in a three-span plastic greenhouse. The results show that the mean relative errors of each month and typical weather conditions are less than 10%. The mean relative error of the simulated mean at any point in the greenhouse is less than 4%. The solar radiation intensity in the greenhouse is mainly affected by the solar incidence angle, and the solar radiation uniformity is mainly affected by the roof shape; the average solar radiation intensity in the greenhouse is the highest in August (over 250 W/m2), and the lowest in December, (below 60 W/m2). When the greenhouse is oriented at 10° east by south, the total solar radiation is 2% higher and the uniformity of daily solar radiation is 0.8% higher than when the greenhouse is oriented to the south.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:271:y:2023:i:c:s0360544223003602
    DOI: 10.1016/j.energy.2023.126966
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    References listed on IDEAS

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    1. Xu, Demin & Fei, Shuaipeng & Wang, Zhi & Zhu, Jinyu & Ma, Yuntao, 2024. "Optimum design of Chinese solar greenhouses for maximum energy availability," Energy, Elsevier, vol. 304(C).

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