2019
DOI: 10.1016/j.biosystemseng.2019.04.009
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Evaluating the influence of turbulence models used in computational fluid dynamics for the prediction of airflows inside poultry houses

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Cited by 27 publications
(16 citation statements)
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“…Relatively larger discrepancies were found near the fan area, where lower air temperatures were expected. In the summer, 13 out of 57 values were higher than or equal to −5% or 5%, which were also similar to previous reports [ 27 , 47 ].…”
Section: Resultssupporting
confidence: 92%
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“…Relatively larger discrepancies were found near the fan area, where lower air temperatures were expected. In the summer, 13 out of 57 values were higher than or equal to −5% or 5%, which were also similar to previous reports [ 27 , 47 ].…”
Section: Resultssupporting
confidence: 92%
“…The SIMPLE algorithm with second-order precision was selected. The renormalization group (RNG) k-ε turbulence model was used to predict the indoor environment of broiler housing because it has been suggested to be more accurate than standard k-ε and realizable k-ε turbulence models [ 27 ]. The convergence criterion was fixed to 10 −4 for the continuity, momentum, and turbulence equations and 10 −6 for the energy equation.…”
Section: Methodsmentioning
confidence: 99%
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“…(3) . The RNG k–ε turbulence model performs well in simulating indoor airflow with a low-Reynolds-number two-equation model; thus, it has been widely used ( Küçüktopcu and Cemek, 2019 ; Kwon et al, 2015 ). In this study, the airflow of a dental clinic with a low-velocity air supply belongs to a low-Reynolds-number flow; thus, the RNG k–ε model was adopted.…”
Section: Methodsmentioning
confidence: 99%
“…The renormalization group (RNG) k–ε turbulence model in the RANS method is widely used in indoor airflow simulations and has proven effective within the RANS turbulence models [ 27 ]. The RNG k–ε model is one of the best turbulence models compared with those of other RANS methods, especially with respect to accuracy, computational speed, and stability of indoor environment modeling [ 28 , 29 ]. Therefore, the RNG k–ε turbulence model was adopted in this study.…”
Section: Cfd Methodologymentioning
confidence: 99%