Computational optimization of a UFAD system using large eddy simulation

In the present study, the Large Eddy Simulation (LES) turbulence closure is applied for the rst time, to the best of our knowledge, to investigate the viability of air conditioning systems in a large space. The results of LESs were validated against experimental measurements and the model was used to study the eect of dierent design variables including Air Changes per Hour (ACH), supply temperature, and return air vent height on design objectives such as local and global thermal comfort indexes and energysaving parameter by using a systematic multi-objective optimization approach. Sensitivity analysis showed that global and local thermal comfort indexes were highly sensitive to the air supply temperature, while energy saving was sensitive to ACH and the supply temperature to the same extent. In addition, it was found that height of the return air vent aected energy saving more than other factors. Finally, an energy saving rate of 22.9% along with thermal comfort indexes within the allowable range is achievable by using the best design through the multi-objective optimization.