TY - JOUR

T1 - An Assessment of a Partial Pit Ventilation System to Reduce Emission under Slatted Floor

T2 - Part 2 : feasibility of CFD prediction using RANS turbulence models

A1 - Wu,Wentao

A1 - Zhang,Guoqiang

A1 - Bjerg,Bjarne Schmidt

A1 - Nielsen,Peter V.

AU - Wu,Wentao

AU - Zhang,Guoqiang

AU - Bjerg,Bjarne Schmidt

AU - Nielsen,Peter V.

PB - Elsevier BV

PY - 2012

Y1 - 2012

N2 - CFD simulations were carried out to assess the feasibility of using RANS (Reynolds – averaged Navier– Stokes) turbulence models to evaluate the performance of a partial pit ventilation system to reduce gas emission under slatted floor. The entire system included a pit model with slatted floor and pit exhaust system, a wind table to simulate ground and a wind tunnel to simulate room space of a naturally ventilated livestock house. CFD simulations started with the selection of a proper domain. Two domains were chosen to evaluate the effect of domain simplification. The results showed that the effect was significant. The assessment of different turbulence models including the standard, RNG, realizable k _ e models; transition SST k _ x model; Reynolds Stress Models were conducted. Results of RSM were found out to agree best with measured results. In order to understand the transportation mechanism of pollutant through slatted floor, vertical mean and turbulent flux were defined and calculated. It was found that turbulence diffusion dominates the transportation of pollutant from the pit headspace into the free stream. Although discrepancies existed for some conditions, good agreements of measured and calculated removal ratios were found for most of cases. It was feasible to use RSM to predict the removal capability. The future research should focus on depicting the airflow patterns inside the pit by using scale model under well controlled laboratory conditions and generating benchmark data to validate and improve CFD methods. Unsteady CFD simulation using large eddy simulation could be conducted to make more precise predictions of removal capability of the partial pit ventilation system by considering the unsteady phenomena of gas emission.

AB - CFD simulations were carried out to assess the feasibility of using RANS (Reynolds – averaged Navier– Stokes) turbulence models to evaluate the performance of a partial pit ventilation system to reduce gas emission under slatted floor. The entire system included a pit model with slatted floor and pit exhaust system, a wind table to simulate ground and a wind tunnel to simulate room space of a naturally ventilated livestock house. CFD simulations started with the selection of a proper domain. Two domains were chosen to evaluate the effect of domain simplification. The results showed that the effect was significant. The assessment of different turbulence models including the standard, RNG, realizable k _ e models; transition SST k _ x model; Reynolds Stress Models were conducted. Results of RSM were found out to agree best with measured results. In order to understand the transportation mechanism of pollutant through slatted floor, vertical mean and turbulent flux were defined and calculated. It was found that turbulence diffusion dominates the transportation of pollutant from the pit headspace into the free stream. Although discrepancies existed for some conditions, good agreements of measured and calculated removal ratios were found for most of cases. It was feasible to use RSM to predict the removal capability. The future research should focus on depicting the airflow patterns inside the pit by using scale model under well controlled laboratory conditions and generating benchmark data to validate and improve CFD methods. Unsteady CFD simulation using large eddy simulation could be conducted to make more precise predictions of removal capability of the partial pit ventilation system by considering the unsteady phenomena of gas emission.

KW - CFD

KW - RANS

KW - Pit Ventilation

KW - Slatted Floor

KW - Turbulence Diffusion

KW - CFD

KW - RANS

KW - Pit Ventilation

KW - Slatted Floor

KW - Turbulence Diffusion

U2 - 10.1016/j.compag.2012.01.011

DO - 10.1016/j.compag.2012.01.011

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

SN - 0168-1699

VL - 83

SP - 134

EP - 142

ER -