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Solar Radiation Allocation and Spatial Distribution in Chinese Solar Greenhouses: Model Development and Application

Author

Listed:
  • Xiaodan Zhang

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Jian Lv

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Jianming Xie

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Jihua Yu

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Jing Zhang

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Chaonan Tang

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Jing Li

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Zhixue He

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

  • Cheng Wang

    (College of Horticulture, Gansu Agricultural University, Lanzhou 730070, China)

Abstract

Solar radiation is the sole energy source for Chinese solar greenhouse agriculture. A favorable light environment is the foundation of a desirable crop growth environment, and it is key in solar greenhouse design. In this study, a mathematical model is established to quantitatively evaluate the solar greenhouse light environment. The model was developed considering the greenhouse shape parameters, materials’ optical properties, and interior solar radiation evolution, including the beam radiation, diffuse radiation, and multi-reflection. The model was validated under different weather conditions, and the results reveal a mean percentage error of 1.67 and 10.30% for clear sunny weather and cloudy weather, respectively, and a determination coefficient of 0.9756. By using this model, the solar radiation allocation in a solar greenhouse was calculated to determine the solar radiation availability for the heat-storage north wall and the entire greenhouse, and the dynamical spatial distribution of the solar radiation was obtained to describe the light environment quality. These allow the optimization of the greenhouse lighting regulation and planting pattern. Moreover, several optimizing measures are derived according to the model for improving the low-light environment near the north wall and maximizing the north wall’s heat storage/release capacity in a solar greenhouse.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1108-:d:327317
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    References listed on IDEAS

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    Cited by:

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    2. Liqin Zhang & Jun XIE & Xingying CHEN & Yongsheng Zhan & Lv Zhou, 2020. "Cooperative Game-Based Synergistic Gains Allocation Methods for Wind-Solar-Hydro Hybrid Generation System with Cascade Hydropower," Energies, MDPI, vol. 13(15), pages 1-14, July.
    3. 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).
    4. Chunhui Zhang & Haiyang Liu & Chunguang Wang & Zheying Zong & Haichao Wang & Xiaodong Zhao & Shuai Wang & Yanan Li, 2023. "Testing and Analysis on the Spatial and Temporal Distribution of Light Intensity and CO 2 Concentration in Solar Greenhouse," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    5. Feng, Chaoqing & Zhang, Lizhuang & Wang, Rui & Yang, Hongbin & Xu, Zhao & Yan, Suying, 2021. "Greenhouse cover plate with dimming and temperature control function," Energy, Elsevier, vol. 221(C).

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