TY - GEN
T1 - Use of CFD modeling for determination of ammonia emission in non-insulated poultry houses with natural ventilation
AU - Saraz, Jairo Alexander Osorio
AU - Rocha, Keller Sullivan Oliveira
AU - Tinôco, Ilda De Fátima Ferreira
AU - Gates, Richard S.
AU - Mendes, Luciano Barreto
AU - Marin, Olga Lucia Zapata
AU - Damasceno, Flavio A.
PY - 2011
Y1 - 2011
N2 - The understanding of distribution of gases such as ammonia (NH3) in agricultural installations is of growing importance due to its effect on health and productivity of animals and workers. There are methodologies available for determination of NH3 emissions in poultry houses by continuous monitoring like the portable monitoring unit (PMU) and mobile air emissions monitoring unit (MAEMU) methods, tracer gas ratio method and Model-based approach of mass balance. However all methods require long experimentation periods. Computational Fluid Dynamics (CFD) is a powerful and efficient tool which allows for prediction of this distribution of gases in real time, which allows for a reduction of the number of experiments. Based on these facts, the aim of this study was to use CFD to develop and validate a model to determine NH3 emissions in a non-insulated broiler house installation with natural ventilation, typical to subtropical and tropical countries. It was found that the proposed model showed a good statistical correlation with the experimental data that were based in the methodologies used by Wheeler et al. (2006) and Osorio (2011). Therefore this CFD model could be used to predict behavior of NH3 emissions in real time generated by poultry facilities.
AB - The understanding of distribution of gases such as ammonia (NH3) in agricultural installations is of growing importance due to its effect on health and productivity of animals and workers. There are methodologies available for determination of NH3 emissions in poultry houses by continuous monitoring like the portable monitoring unit (PMU) and mobile air emissions monitoring unit (MAEMU) methods, tracer gas ratio method and Model-based approach of mass balance. However all methods require long experimentation periods. Computational Fluid Dynamics (CFD) is a powerful and efficient tool which allows for prediction of this distribution of gases in real time, which allows for a reduction of the number of experiments. Based on these facts, the aim of this study was to use CFD to develop and validate a model to determine NH3 emissions in a non-insulated broiler house installation with natural ventilation, typical to subtropical and tropical countries. It was found that the proposed model showed a good statistical correlation with the experimental data that were based in the methodologies used by Wheeler et al. (2006) and Osorio (2011). Therefore this CFD model could be used to predict behavior of NH3 emissions in real time generated by poultry facilities.
KW - Ammonia emissions natural ventilation
KW - Computational Fluid Dynamics (CFD)
KW - Poultry house
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M3 - Conference contribution
AN - SCOPUS:81255184664
SN - 9781618391568
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011
SP - 4409
EP - 4418
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2011, ASABE 2011
PB - American Society of Agricultural and Biological Engineers
T2 - American Society of Agricultural and Biological Engineers Annual International Meeting 2011
Y2 - 7 August 2011 through 10 August 2011
ER -