Numerical Investigation of Natural Convection of Pine, Olive, and Orange Leaves
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Numerical Investigation of Natural Convection of Pine, Olive, and Orange Leaves

Authors: Ali Reza Tahavvor, Saeed Hosseini, Nazli Jowkar, Behnam Amiri

Abstract:

Heat transfer of leaves is a crucial factor in optimal operation of metabolic functions in plants. In order to quantify this phenomenon in different leaves and investigate the influence of leaf shape on heat transfer, natural convection for pine, orange and olive leaves was simulated as representatives of different groups of leaf shapes. CFD techniques were used in this simulation with the purpose to calculate heat transfer of leaves in similar environmental conditions. The problem was simulated for steady state and threedimensional conditions. From obtained results, it was concluded that heat fluxes of all three different leaves are almost identical, however, total rate of heat transfer have highest and lowest values for orange leaves, and pine leaves, respectively.

Keywords: Computational fluid dynamic, heat flux, heat transfer, natural convection.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1105945

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[1] Molina-Aiz, F.D., Valera, D.L., Alvarez, A.J., 2004. Measurement and simulation of climate inside Almeria-type greenhouses using computational fluids dynamics. Agr. Forest Meteorol. 125, 33–51.
[2] Shklyar, A., Arbel, A., 2004. Numerical model of the three dimensional isothermal flow patterns and mass fluxes in a pitched-roof greenhouse. J. Wind Eng. Ind. Aerod. 92, 1039–1059.
[3] Bartzanas, T., Boulard, T., Kittas, C., 2004. Effect of vent arrangement on windward ventilation of a tunnel greenhouse. Biosyst. Eng. 88 (4), 479–490.
[4] Fatnassi, H., Boulard, T., Lagier, J., 2004. Simple indirect estimation of ventilation and crop transpiration rates in a greenhouse. Biosyst. Eng. 88 (4), 467–478.
[5] Boulard, T., Wang, S., 2002. Experimental and numerical studies on the heterogeneity of crop transpiration in a plastic tunnel. Comput. Electron. Agr. 34, 173–190.
[6] Pei-Xue Jiang, Xiao-Chen Lu, Numerical simulation of fluid flow and convection heat transfer in sintered porous plate channels, International Journal of Heat and Mass Transfer 49 (2006) 1685–1695.
[7] P.-H. Kao, Y.-H. Chen, R.-J. Yang, Simulations of the macroscopic and mesoscopic natural convection flows within rectangular cavities, International Journal of Heat and Mass Transfer 51 (2008) 3776–3793.
[8] Geniy V. Kuznetsov, Mikhail A. Sheremet, Numerical simulation of turbulent natural convection in a rectangular enclosure having finite thickness walls, International Journal of Heat and Mass Transfer 53 (2010) 163–177.
[9] M. Abdul Basit, Muhammad Rafique, Imran R. Chughtai, Mansoor H. Inayat, Computer simulation of natural convection heat transfer from an assembly of vertical cylinders of PARR-2, Applied Thermal Engineering 27 (2007) 194–201.
[10] A.A. Mohamad, M. El-Ganaoui, R. Bennacer, Lattice Boltzmann simulation of natural convection in an open ended cavity, International Journal of Thermal Sciences 48 (2009) 1870–1875.
[11] A. Haghshenas, M. Rafati Nasr, M.H. Rahimian, Numerical simulation of natural convection in an open-ended square cavity fille with porous medium by lattice Boltzmann method.
[12] A.F.G. Jacobsl, B.G. Heusinkveldl and G.J.T. KesseF, Simulating of leaf wetness duration within a potato canopy, Received 2005 Elsevier.
[13] Katrina Richards, Adaptation of a leaf wetness model to estimate dewfall amount on a roof surface, Agricultural and Forest Meteorology 149 (2009) 1377–1383.
[14] Boulard, T., Kittas, C., Roy, J.C., Wang, S., 2002a. Convective and ventilation transfers in greenhouses, part 2: determination of the distributed greenhouse climate. Biosyst. Eng. 83 (2),129–147
[15] Reichrath, S., Davies, T.W., 2001. Using CFD to model the internal climate of greenhouses: past, present and future. Agronomie 22, 3–19.
[16] Numerical Heat Transfer and Fluid Flow – Suhas V.Patankar
[17] Jarvis, P.G., 1976. The interpretation of the variations in leaf water potential and stomata conductance found in canopies in the field. Philos. Trans. R. Soc. Lond. B 273, 593–610.
[18] Avissar, R., Avissar, P., Mahrer, Y., Bravdo, B.A., 1985. A model to simulate response of plant stomata to environmental conditions. Agr. Forest Meteorol. 34, 21–29.
[19] Schuepp, P.H., 1993. Tansley review no. 59. Leaf boundary layers.New Phytol. 125, 477–507.
[20] Monteith, J.L., 1995. A reinterpretation of stomatal responses to humidity. Plant Cell Environ. 18, 357–364.
[21] Lhomme, J.P., Elguero, E., Chehbouni, A., Boulet, G., 1998.Stomatal control of transpiration: examination of Monteith’s formulation of canopy resistance. Water Resour. Res. 34-9,2301–2308.
[22] Stanghellini C., 1987. Transpiration of greenhouse crops, an aid to climate management. Ph.D. thesis. Agricultural University, Wageningen, 150 pp.
[23] Boulard, T., Baille, A., Mermier, M., Villette, F., 1991. Mesures et mod´ elisation de la r ´ esistance stomatique foliaire et de la transpiration d’un couvert de tomates de serres. Agronomie11, 259–274.