COMPUTATIONAL_FLUID_DYNAMICS_CFD_AND_IT.pdf

3 bartzanas t kittas c sapounas aa nikita

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3. BARTZANAS, T.; KITTAS, C.; SAPOUNAS, A.A.; NIKITA- MARTZOPOULOU, C. 2007. Analysis of airflow through experimental rural buildings: Sensitivity to turbulence models. Biosystems Engineering. 97(2):229-239. 4. BARTZANAS, T., BOULARD, T., KITTAS, C. 2004. Effect of vent arrangement on windward ventilation of a tunnel greenhouse. Biosystems Engineering. 88(1):479-490. 5. BJERG, B.; SVIDT, K.; ZHANG, G.; MORSING, S. 2000. The effect of pen partitions and thermal pig simulators on airflow in a livestock test room. J. Agr. Engineering Res. 77(2):317-326. 6. BJERG, B.; SVIDT, K.; ZHANG, G.; MORSING, S.; JOHNSEN, J.O. 2002. Modeling of air inlets in CFD prediction of airflow in ventilated animal houses. Computers and Electronics in Agriculture, 34(3):223- 235. 7. BLANES-VIDAL, V.; GUIJARRO, E.; BALASCH, S.; TORRES, A.G. 2008. Application of computational fluid dynamics to the prediction of airflow in a mechanically ventilated commercial poultry building. Biosystems Engineering. 100(1):105-116. 8. BOULARD, T.; KITTAS, C.; ROY, J.C. 2002. Structures and Environment: Convective and Ventilation Area, (m 2 ) Specific heat capacity, W kg -1 K -1 ; C A Concentration of species A in the gas, g m -3 D AB Diffusion coefficient between species A and B, m 2 s -1 Acceleration of gravity, m s -2 ; Velocity vector, m s -1 ; Cartesian coordinate index, m; ̇ Mass of water applied by misting, , m s -1 ; ̇ Mass flows of air which infiltrate, m s -1 ; ̇ Mass flows of air which enter, m s -1 ; ̇ Mass flows of air which exit, m s -1 ; ̇ Mass production of water vapor by the animal, m s -1 ; ̇ Mass production of waste, m s -1 ; Pressure, Pa; Temperature, K; Time, s; Thermal dissipater or source, W m -3 ; Cartesian coordinate , m; Greek Symbols λ Thermal conductivity, W m -1 K -1 ; Kronecker delta; Dynamic viscosity, kg m -1 s -1 ; Density of the fluid, kg m -3 ; Subscripts Turbulence; Nomenclature
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91 Artículo Técnico Alves Damasceno, F.; da Costa Baêta, F.; Arêdes Martins, M.; Osorio Saraz, J.A.; de Fátima Ferreira Tinoco, I.: Computational fluid dynamics Transfers in Greenhouses, Part 2: Determination of the Distributed Greenhouse Climate. Biosystems Engineering. 83(2):129-147. 9. BOUWMAN, A.F.; LEE, D.S.; ASMAN, W.A.H.; DENTENER, F.J.; VAN DER HOEK, K.W.; OLIVIER, J.G.J. 1997. A global high-resolution emission inventory for ammonia. Global Biochemical Cycles. 11(1):561-587. 10. CARVALHO, V.F.; YANAGI JR, T.; XIN, H.; GATES, R.S.; DAMASCENO, F.A.; MORAES, S.R.P. 2008. Mathematical Model for Thermal Environment and Broiler Chickens Performance Prediction in Acclimatized Housings. ASAE paper No 701P0408. Foz do Iguaçu, Brazil: ASAE. 11. CHOI, K.; ALBRIGHT, L.D.; TIMMONS, M.B. 1998. An application of the k–e turbulence model to predict air distribution in a slot ventilated enclosure. Transactions of the ASAE. 31(2):1804-1814. 12. DAMASCENO, F.A.; AMARAL, A.G.; MARTINS, M.A.; SARAZ, J.A.O.; BAÊTA, F.C. 2010a. Dinâmica do fluido computacional para simulação da temperatura e velocidade do ar em sistema de aquecimento avícola.
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