Currently,some classrooms in academic buildings cannot meet the requirements of human thermal comfort and the distribution of people in classrooms is relatively dense,the risk of infection is unknown if there are infected people,so the Computational Fluid Dynamics(CFD)is utilized to simulate the air distribution and thermal comfort in the classroom under different air supply parameters(changing the speed of air supply and angle of air supply),and the entropy weighting method is applied to assign weights to the thermal comfort index PMV and air blowing dissatisfaction rate DR,and the multi-objective optimization TOPSIS method is applied to rank different working conditions,the optimal combination of air supply parameters at a supply air temperature of 18℃is obtained as follows:while the air supply speed is 1m/s,and air supply Angle is 60°,the mean values of PMV and DR are 0.827 and 0.326.An improved infection risk model is applied to predict the infection risk for this working condition,and it is found that most of the droplets exhaled by infected persons gathered in the left area of the classroom,so the infection risk in this area is higher.
NETL
NSTL
维普
万方数据
