Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields

Huan Liu, Fankun Meng, Zhengnan Yan, Yuliang Shi, Subo Tian, Yanjie Yang and Xiaoye Li ()
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Huan Liu: College of Horticulture, Qingdao Agriculture University, Qingdao 266108, China
Fankun Meng: College of Horticulture, Qingdao Agriculture University, Qingdao 266108, China
Zhengnan Yan: College of Horticulture, Qingdao Agriculture University, Qingdao 266108, China
Yuliang Shi: College of Horticulture, Qingdao Agriculture University, Qingdao 266108, China
Subo Tian: Shandong Shouguang Vegetable Industry Group Co., Ltd., Weifang 261000, China
Yanjie Yang: College of Horticulture, Qingdao Agriculture University, Qingdao 266108, China
Xiaoye Li: College of Horticulture, Qingdao Agriculture University, Qingdao 266108, China

Agriculture, 2025, vol. 15, issue 2, 1-18

Abstract: Solar greenhouses are essential facilities for agricultural production in northern China, where uneven internal environments pose significant challenges. This study established a numerical model of photothermal conditions in solar greenhouses. Utilizing COMSOL Multiphysics TM , we established a microclimate model that encompasses the greenhouse exterior and the soil directly below it, without considering the crops. This model coupled multiphysical fields with fluid flow and heat transfer processes. The boundary conditions and initial values of the external environment and soil were derived from meteorological data and an efficient interpolation function method, with the time step updated every 1h. The results demonstrate that the simulated values were in good agreement with the measured values. Our findings reveal the temporal dynamics of radiation and temperature changes, as well as spatial heterogeneity, within solar greenhouses under different winter weather conditions. Additionally, the potential of integrating with other real-time monitoring and control models was discussed. This study provides a theoretical foundation for developing microclimate models and predicting photothermal environments in greenhouses.

Keywords: solar greenhouse; environmental distribution; heterogeneity; numerical simulation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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