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>,...

Full description

Saved in:
Bibliographic Details
Main Authors: Huan Liu, Fankun Meng, Zhengnan Yan, Yuliang Shi, Subo Tian, Yanjie Yang, Xiaoye Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/15/2/187
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832589479206977536
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.
format Article
id doaj-art-7c4e607771e94cafa83c88963f810216
institution Kabale University
issn 2077-0472
language English
publishDate 2025-01-01
publisher MDPI AG
record_format Article
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
work_keys_str_mv AT huanliu dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields
AT fankunmeng dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields
AT zhengnanyan dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields
AT yuliangshi dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields
AT subotian dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields
AT yanjieyang dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields
AT xiaoyeli dynamicsimulationofphotothermalenvironmentinsolargreenhousebasedoncomsolmultiplephysicalfields