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The aim of this paper is to predict in details the distributed nocturnal climate inside a one hectare Moroccan canary type tomato-greenhouse equipped with continuous roof and sidewalls ventilation openings with fine insect screens, by means of 3D CFD Computational Fluid Dynamics simulations by using a commercial Software package CFD2000 based on the finite volumes method to solve the mass, momentum and energy conservation equations. The turbulent transfers were described by a k-ε model. Likewise, the dynamic influences of insect screens and tomato crop on airflow movement were modeled by means of the concept of porous medium with the Boussinesq assumption. Atmospheric radiations contribution was included in the model by customising the plastic roof cover temperature deducted from its energy balance. Also, the CFD code was customized in order to simulate in each element of the crop cover the sensible and latent heat exchanges between the greenhouse air and tomato crop. Simulations were carried out with a wind prevailing direction perpendicular to the roof openings west-east direction. Simulations were later validated with respect to temperature and specific humidity field measurements inside the experimental greenhouse. Also, the model was verified respect to global sensible and latent heat transfers. Results show that, generally, greenhouse nocturnal climate distribution is homogeneous along the studies greenhouse area. The insect proof significantly reduced inside airflow wind speed. But there is no significant effect on the inside air temperature and specific humidity respect to outside.

KEYWORDS

Greenhouse, CFD, Airflow, Microclimate, Insect Screens

Cite this paper

Majdoubi, H. , Boulard, T. , Fatnassi, H. , Senhaji, A. , Elbahi, S. , Demrati, H. , Mouqallid, M. and Bouirden, L. 2016 Canary Greenhouse CFD Nocturnal Climate Simulation. Open Journal of Fluid Dynamics, 6, 88-100. doi: 10.4236-ojfd.2016.62008.





Autor: Hassan Majdoubi1,2, Thierry Boulard3, Hicham Fatnassi3, Allal Senhaji2, Salma Elbahi1, Hassan Demrati4, Mhamed Mouqallid2, Lahcen

Fuente: http://www.scirp.org/



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