OJFD  Vol.6 No.2 , June 2016
Canary Greenhouse CFD Nocturnal Climate Simulation
Abstract: 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.
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.

[1]   Majdoubi, H., Boulard, T., Hanafi, A., Bekkaoui, A., Demrati, H., Fatnassi, H., Nya, M. and Bouirden, L. (2007) Natural Ventilation Performance of a Large Scale Canary Greenhouse Equipped with Insect Screens. Transactions of the ASABE, 50, 641-650.

[2]   Demrati, H., Boulard, T., Bekkaoui, A. and Bouirden, L. (2001) Natural Ventilation and Microclimatic Performance of a Large-Scale Banana Greenhouse. Journal of Agricultural Engineering Research, 80, 291-271.

[3]   Fatnassi, H., Boulard, T. and Bouirden, L. (2003) Simulation of Climatic Conditions in Full Scale Greenhouse Fitted with Insect Proof Screens. Agricultural and Forest Meteorology, 118, 97-111.

[4]   Fatnassi, H., Boulard, T., Poncet, C. and Chave, M. (2006) Optimisation of Greenhouse Insecte Screening with Computational Fluid Dynamics. Biosystems Engineering, 93, 301-312.

[5]   Campen, J.B. and Bot, G.P.A. (2003) Determination of Greenhouse-Specific Aspects of Ventilation Using Three-Dimensional Computational Fluid Dynamics. Biosystems Engineering, 84, 69-77.

[6]   Molina-Aiz, F.D., Valera, D.L. and Alvarez, A.J. (2004) Measurement and Simulation of Climate inside Almeria-Type Greenhouses Using Computational Fluid Dynamics. Agricultural and Forest Meteorology, 125, 33-51.

[7]   Demrati, H., Boulard, T., Fatnassi, H., Bekkaoui, A., Majdoubi, H., Elattir, H. and Bouirden, L. (2007) Microclimate and Transpiration of a Greenhouse Banana Crop. Biosystems Engineering, 98, 66-78.

[8]   Majdoubi, H., Boulard, T., Hanafi, A., Bekkaoui, A., Demrati, H., Fatnassi, H., Nya, M. and Bouirden, L. (2009) Airflow and Microclimate Patterns in a One-Hectare Canary Type Greenhouse: An Experimental and CFD Assisted Study. Agricultural and Forest Meteorology, 49, 1050-1062.

[9]   CFD2000/Storm v5.0, 2004. CFD Systems. Pacific Sierra Corp., USA.

[10]   Patankar, S.V. (1980) Numerical Heat Transfer and Fluid Flow. Hemisphere, New York.

[11]   Issa, R.I. (1985) Solution of the Implicitydiscritized Fluid Flow Equations by Operator-Splitting. Journal of Computational Physics, 62, 40-65.

[12]   Launder, B.E. and Spalding, D.B. (1974) The Numerical Computational of Turbulent Flows. Computer Methods in Applied Mechanics and Engineering, 3, 269-289.

[13]   Miguel, A.F., Van den Break, N.J. and Bot, G.P.A. (1997) Analysis of the Airflow Characteristics of Greenhouse Screening Materials. Journal of Agricultural Engineering Research, 67, 105-112.

[14]   Bruse, M. (1998) Development of a Numerical Model for the Simulation of Exchange Processes between Small Scale Environmental Design and Microclimate in Urban Areas. Ph.D. Thesis, University of Bochum, Bochum.

[15]   Haxaire, R. (1999) Caractérisation et Modélisation des écoulements d'air dans une serre (Characterization and Modeling of Air Flows in a Greenhouse). Ph.D. Thesis, de l'Université de Nice, Sophia Antipolis., 148 p.

[16]   Boulard, T., Baille, A., Mermier, M. and Villette, F. (1991) Mesures et modélisation de la résistance stomatique foliaire et de la transpiration d’un couvert de tomates de serre (Measurement and Modeling of Tomato Leaf Stomatal Resistance and Transpiration in Greenhouse Conditions). Agronomie, 11, 259-274.

[17]   Majdoubi, H. (2007) Contribution à la modélisation du microclimat des serres (Contribution to Greenhouse Microclimate Modelling). Ph.D. Thesis, Universite Ibn Zohr, Faculte des Sciences d’Agadir, D55/2007, 215 p.

[18]   Montero, J.I., Muñoz, P., Antón, A. and Iglesias, N. (2005) Computational Fluid Dynamic Modelling of Night-Time Energy Fluxes in Unheated Greenhouses. ISHS Acta Horticulturae, 691, 403-409.

[19]   Majdoubi, H., Boulard, T., Hanafi, A., Fatnassi, H., Demrati, H., Bekkaoui, A., Nya, M. and Bouirden, L. (2007) Winter Time Microclimate in a Large Scale Canary Type Tomato Greenhouse in the South of Morocco. ISHS Acta Horticulturae, 747, 139-149.