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Testing and Analysis on the Spatial and Temporal Distribution of Light Intensity and CO 2 Concentration in Solar Greenhouse

Author

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  • Chunhui Zhang

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    These authors contributed equally to this work.)

  • Haiyang Liu

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    These authors contributed equally to this work.)

  • Chunguang Wang

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Zheying Zong

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    Key Laboratory of Biopesticide Creation and Resource Utilization of Universities, Hohhot 010018, China)

  • Haichao Wang

    (College of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Xiaodong Zhao

    (Xilingol Power Supply Company, Xilinhot 026000, China)

  • Shuai Wang

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Yanan Li

    (College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

Abstract

Greenhouses, as important parts of facility agriculture, can reduce the restrictions on agricultural production imposed by the natural environment and make rational and efficient use of production resources. We conducted long-term, continuous testing of temperature, humidity, light intensity, and CO 2 concentration parameters in a heliostat greenhouse in the central and western parts of the Inner Mongolia Autonomous Region, a cold and arid region of northern China. A large amount of data was processed by statistical observation, simulation analysis, and 3D reconstruction to obtain the overall distribution, variation pattern, and mathematical model of the regional greenhouse environment in time and space. The results show that the temperature, humidity, light intensity, and CO 2 concentration in the greenhouse have significant daily variation patterns, that there are strong coupling relationships between light intensity–CO 2 concentration–time and indoor temperature–light intensity–CO 2 concentration, that the coefficients of determination (R 2 ) of the mathematical models are 0.88 and 0.89, and that the standard errors (RMSE) are 49.67 ppm and 45.30 ppm, respectively. The environmental parameters were fitted with high accuracy in order to provide scientific data for the cultivation of heliostats in the region.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:7001-:d:1129455
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    References listed on IDEAS

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    1. Mobtaker, Hassan Ghasemi & Ajabshirchi, Yahya & Ranjbar, Seyed Faramarz & Matloobi, Mansour, 2019. "Simulation of thermal performance of solar greenhouse in north-west of Iran: An experimental validation," Renewable Energy, Elsevier, vol. 135(C), pages 88-97.
    2. 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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