Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields
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<sup>TM</sup>,...
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MDPI AG
2025-01-01
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Online Access: | https://www.mdpi.com/2077-0472/15/2/187 |
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author | Huan Liu Fankun Meng Zhengnan Yan Yuliang Shi Subo Tian Yanjie Yang Xiaoye Li |
author_facet | Huan Liu Fankun Meng Zhengnan Yan Yuliang Shi Subo Tian Yanjie Yang Xiaoye Li |
author_sort | Huan Liu |
collection | DOAJ |
description | 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<sup>TM</sup>, 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. |
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id | doaj-art-7c4e607771e94cafa83c88963f810216 |
institution | Kabale University |
issn | 2077-0472 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
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series | Agriculture |
spelling | doaj-art-7c4e607771e94cafa83c88963f8102162025-01-24T13:16:03ZengMDPI AGAgriculture2077-04722025-01-0115218710.3390/agriculture15020187Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical FieldsHuan Liu0Fankun Meng1Zhengnan Yan2Yuliang Shi3Subo Tian4Yanjie Yang5Xiaoye Li6College of Horticulture, Qingdao Agriculture University, Qingdao 266108, ChinaCollege of Horticulture, Qingdao Agriculture University, Qingdao 266108, ChinaCollege of Horticulture, Qingdao Agriculture University, Qingdao 266108, ChinaCollege of Horticulture, Qingdao Agriculture University, Qingdao 266108, ChinaShandong Shouguang Vegetable Industry Group Co., Ltd., Weifang 261000, ChinaCollege of Horticulture, Qingdao Agriculture University, Qingdao 266108, ChinaCollege of Horticulture, Qingdao Agriculture University, Qingdao 266108, ChinaSolar 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<sup>TM</sup>, 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.https://www.mdpi.com/2077-0472/15/2/187solar greenhouseenvironmental distributionheterogeneitynumerical simulation |
spellingShingle | Huan Liu Fankun Meng Zhengnan Yan Yuliang Shi Subo Tian Yanjie Yang Xiaoye Li Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields Agriculture solar greenhouse environmental distribution heterogeneity numerical simulation |
title | Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields |
title_full | Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields |
title_fullStr | Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields |
title_full_unstemmed | Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields |
title_short | Dynamic Simulation of Photothermal Environment in Solar Greenhouse Based on COMSOL Multiple Physical Fields |
title_sort | dynamic simulation of photothermal environment in solar greenhouse based on comsol multiple physical fields |
topic | solar greenhouse environmental distribution heterogeneity numerical simulation |
url | https://www.mdpi.com/2077-0472/15/2/187 |
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