基于CFD的夏季蛋鸡舍环境模拟与优化OA

In order to solve the issues of uneven temperature-humidity distribution,heat accumulation,and insufficient airflow in enclosed layer houses in summer,this study employed computational fluid dynamics(CFD)to simulate and optimize the indoor thermal environment.Based on field measurements obtained from a five-tier stacked enclosed layer house—including temperature,air velocity,relative humidity,and structural parameters—a CFD model of the henhouse and a porous-medium model of the layer cages were established.Six ventilation schemes were subsequently designed to optimize the structural configuration of the house.The results showed that,for the baseline ventilation model,the average relative errors(MRE)of temperature and relative humidity were both below 3%,the MRE of air velocity was approximately 10%,and the normalized mean squared error(NMSE)values were all less than 0.25,indicating good agreement between simulation and measurements.Significant heat accumulation was observed in the middle and rear zones of the house under summer conditions,where local temperatures reached 31℃.The overall relative humidity was relatively high—about 81%at the front end,and airflow distribution was nonuniform,with a maximum velocity of 2.73 m/s at the inlet region,which was higher than that in the downstream areas.The configuration with an inlet spacing of 1.14 m and 32 air inlets on both sidewalls exhibited the best performance,improving the uniformity of temperature,airflow velocity,and relative humidity by 18.00%,10.54%,and 18.38%,respectively.The average equivalent temperature of the layer zones decreased by 0.5℃,effectively mitigating local heat and humidity accumulation in summer and enhancing environmental homogeneity.It showed that this scheme could optimize the structrual design of closed layer houses in summer.