TY - JOUR
T1 - Validation of CFD simulation for ammonia emissions from an aqueous solution
AU - Rong, Li
AU - Elhadidi, Basman
AU - Khalifa, H. Ezzat
AU - Nielsen, Peter V.
AU - Zhang, Guoqiang
N1 - Funding Information:
This study is supported by ROSES (Reduction of Odor Source in and Emission from Swine Buildings) project under the program ‘Animal Husbandry, the Neighbors and the Environment’ funded by the Danish Ministry of Food, Agriculture and Fisheries in Denmark. The authors are grateful for the discussion with Professor Thong Dang in Syracuse University. We would also like to thank the anonymous reviewers for their insightful comments on the manuscript, which really improved the paper quality a lot.
PY - 2011/2
Y1 - 2011/2
N2 - In order to model and predict ammonia emissions from animal houses, it is important to determine the concentration on the emission surface correctly. In the current literature, Henry's law is usually used to model the mass transfer through the gas-liquid surface (e.g. manure or aqueous solution). The objective of this study is to investigate the accuracy of three models for Henry's law constant (HLC) as well as functions derived from experimental vapor-liquid equilibrium (VLE) properties of ammonia water to determine the concentration on the liquid ammonia solutions surface in order to be used as boundary condition for CFD prediction of ammonia emission. The accuracy of CFD simulation depends on many factors. In this study, the effects of appropriate geometry model, inlet turbulent parameters and three turbulence models (low-Reynolds number k- e{open} model, renormalization group k- e{open} model and Shear Stress Transport k- w model) on ammonia emissions are investigated and discussed. Then the concentration boundary condition determined by different HLC models and the VLE model is validated by ammonia emissions and concentration profiles measured in the boundary layer. The results indicate that the current HLC models generally over-predict the ammonia emissions from aqueous solution in this study whereas VLE gives better agreement between simulated and measured results. A linear relation is observed between ammonia mass transfer coefficient obtained from the VLE relation and those from HLC models.
AB - In order to model and predict ammonia emissions from animal houses, it is important to determine the concentration on the emission surface correctly. In the current literature, Henry's law is usually used to model the mass transfer through the gas-liquid surface (e.g. manure or aqueous solution). The objective of this study is to investigate the accuracy of three models for Henry's law constant (HLC) as well as functions derived from experimental vapor-liquid equilibrium (VLE) properties of ammonia water to determine the concentration on the liquid ammonia solutions surface in order to be used as boundary condition for CFD prediction of ammonia emission. The accuracy of CFD simulation depends on many factors. In this study, the effects of appropriate geometry model, inlet turbulent parameters and three turbulence models (low-Reynolds number k- e{open} model, renormalization group k- e{open} model and Shear Stress Transport k- w model) on ammonia emissions are investigated and discussed. Then the concentration boundary condition determined by different HLC models and the VLE model is validated by ammonia emissions and concentration profiles measured in the boundary layer. The results indicate that the current HLC models generally over-predict the ammonia emissions from aqueous solution in this study whereas VLE gives better agreement between simulated and measured results. A linear relation is observed between ammonia mass transfer coefficient obtained from the VLE relation and those from HLC models.
KW - Ammonia emission
KW - CFD
KW - Concentration boundary condition
KW - Henry's law constant
KW - Vapor-liquid equilibrium
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U2 - 10.1016/j.compag.2010.12.002
DO - 10.1016/j.compag.2010.12.002
M3 - Article
AN - SCOPUS:79551688485
SN - 0168-1699
VL - 75
SP - 261
EP - 271
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
IS - 2
ER -