| With the promotion of sustainable development,the requirement of the medical industry has increased,and the energy of medical buildings has become larger.The energy consumption of the clean air conditioning system accounts for 55% of building energy consumption.The society has paid widespread attention to how to save the energy consumption of medical clean room.The author investigated a pharmaceutical clean factory in Lanzhou.The project test the air-conditioning system which was verified to be reasonable by visiting designers,The author collected design materials and tested the particle concentration.The paper summarized the design process of clean air-conditioning system at this stage.The study focused on the granulation room which is a typical medical clean room in the factory,and analyzed the influence of the air change rate on the granulating room cleanliness.In the project,the design parameters of the clean air-conditioning system,such as load,air flow organization,and air supply volume,were sorted out and analyzed.This project used CFD to establish the granulation chamber model and simulated stable flow field under different air change rate.By setting reasonably various pollutant parameters on the basis of Euler-Lagrange model and DPM model,the project simulated numerically the two-phase flow field and analyzed the velocity field and particle concentration.Focusing on the air change rate,it is found that the average particle concentration in the medical clean room changed disproportionately with the number of air change rate.There is an optimizable space of air change rate,which can not only meet the indoor load and ensure the indoor cleanliness,but also reduce energy consumption.By comparing and analyzing the numerical simulation results under different air changes,the paper puted forward the design ideas of air changes for the Class D medical clean room.The number of air changes was mainly determined by three methods: solving the indoor heat and humidity load treatment process,selecting the value according to the relevant specifications,and using the uneven distribution theory.The methods are reasonably combined to narrow the range of air changes,and provide reference ideas for the optimization design of air changes in the same type of medical clean room. |
