CFD coupled modeling of distributed plant activity and climate in greenhouse
| Autor: | R. Suay, C. Poncet, J. C. Roy, T. Boulard, H. Fatnassi |
|---|---|
| Přispěvatelé: | Institut Sophia Agrobiotech (ISA), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Recherche Agronomique (INRA), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Canopy [SDV]Life Sciences [q-bio] Airflow Greenhouse plant UDF Horticulture Computational fluid dynamics Atmospheric sciences 01 natural sciences chemistry.chemical_compound Latent heat Heat exchanger greenhouse Hydrology model business.industry Humidity porous medium 04 agricultural and veterinary sciences chemistry 13. Climate action Carbon dioxide [SDE]Environmental Sciences 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science business CFD 010606 plant biology & botany |
| Zdroj: | Acta Horticulturae Acta Horticulturae, International Society for Horticultural Science, 2017, pp.57-64. ⟨10.17660/ActaHortic.2017.1182.6⟩ |
| ISSN: | 0567-7572 |
| DOI: | 10.17660/ActaHortic.2017.1182.6⟩ |
| Popis: | International audience; For the 1990s computational Fluid Dynamics (CFD) has allowed significant progresses for modeling the greenhouse distributed climate, including at crop level. It chiefly relies on the dynamic action of the crop on air flow and the subsequent heat and mass exchanges. Thus, the CFD approach combined different scales of modeling: the greenhouse and its environment together with crop canopy with a precision of a couple of cm3, corresponding to the current dimension of the average finite volume meshes inside the greenhouse. This modeling approach accounts for the coupling of air transfers within the crop that is assimilated to the solid matrix of a porous medium exchanging heat and mass with air. Thus, the source terms for sensible and latent heats and other mass exchanges are assigned to each cell of the porous medium (i.e., canopy). These source terms are encapsulated in so call “User Defined Function's” (UDFs) dynamically linked with the CFD solver. Temperature, air humidity and CO2 distributions within the crop canopy can then be deduced from the local air velocity and the distributed climate parameters together with canopy temperature and activity. For the 1990s computational Fluid Dynamics (CFD) has allowed significant progresses for modeling the greenhouse distributed climate, including at crop level. It chiefly relies on the dynamic action of the crop on air flow and the subsequent heat and mass exchanges. Thus, the CFD approach combined different scales of modeling: the greenhouse and its environment together with crop canopy with a precision of a couple of cm3, corresponding to the current dimension of the average finite volume meshes inside the greenhouse. This modeling approach accounts for the coupling of air transfers within the crop that is assimilated to the solid matrix of a porous medium exchanging heat and mass with air. Thus, the source terms for sensible and latent heats and other mass exchanges are assigned to each cell of the porous medium (i.e., canopy). These source terms are encapsulated in so call “User Defined Function's” (UDFs) dynamically linked with the CFD solver. Temperature, air humidity and CO2 distributions within the crop canopy can then be deduced from the local air velocity and the distributed climate parameters together with canopy temperature and activity. |
| Databáze: | OpenAIRE |
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