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

Chunhui Zhang, Haiyang Liu, Chunguang Wang, Zheying Zong (), Haichao Wang, Xiaodong Zhao, Shuai Wang and Yanan Li
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Chunhui Zhang: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
Haiyang Liu: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
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
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

Sustainability, 2023, vol. 15, issue 8, 1-23

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.

Keywords: solar greenhouse; environmental parameters; spatial and temporal distribution; modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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