Compared with traditional convection air conditioning,the radiant cooling(RC)system has higher energy-saving potential and better comfort.At present,the particle swarm optimization(PSO)algorithm is one of the most adv...Compared with traditional convection air conditioning,the radiant cooling(RC)system has higher energy-saving potential and better comfort.At present,the particle swarm optimization(PSO)algorithm is one of the most advanced methods to optimize the design of indoor radiant terminals.However,this method requires to discretize the design domain in advance.If the geometric division is rough,the accuracy of the optimized results will be too low.To improve the accuracy of the calculation results,the geometric division needs to be refined,but it will greatly increase the calculation load.For each new geometric model,users need to determine a reasonable geometric division every time,which is very time consuming.To solve that problem,this investigation proposed a parameterized level set method(PLSM)to inversely design the area,shape,and locations of the radiant terminal.It not only does not need to discretize the design domain in advance,but also can realize the continuous topological change of the radiant terminal region.The results show that the PLSM can realize the continuous topological transformation of geometric shapes,and the final result of the average absolute value of PMV(∣PMV∣avg)around the occupants achieved 0.066.To enhance the practical application of the optimized results,K-means cluster analysis is used to regularize the shape of the radiation terminal region.The corresponding average∣PMV∣around the occupants is 0.102,which is also within an acceptable range.All in all,PLSM can be used to inversely design the RC systems,which provides an effective design method for realizing accurate control of the indoor environment using the RC systems.展开更多
基金supported by the National Natural Science Foundation of China(NSFC)through Grant No.52208098by the China Postdoctoral Science Foundation through Grant No.2022M710689by Jiangsu Planned Projects for Postdoctoral Research Funds through Grant No.2021K069A.
文摘Compared with traditional convection air conditioning,the radiant cooling(RC)system has higher energy-saving potential and better comfort.At present,the particle swarm optimization(PSO)algorithm is one of the most advanced methods to optimize the design of indoor radiant terminals.However,this method requires to discretize the design domain in advance.If the geometric division is rough,the accuracy of the optimized results will be too low.To improve the accuracy of the calculation results,the geometric division needs to be refined,but it will greatly increase the calculation load.For each new geometric model,users need to determine a reasonable geometric division every time,which is very time consuming.To solve that problem,this investigation proposed a parameterized level set method(PLSM)to inversely design the area,shape,and locations of the radiant terminal.It not only does not need to discretize the design domain in advance,but also can realize the continuous topological change of the radiant terminal region.The results show that the PLSM can realize the continuous topological transformation of geometric shapes,and the final result of the average absolute value of PMV(∣PMV∣avg)around the occupants achieved 0.066.To enhance the practical application of the optimized results,K-means cluster analysis is used to regularize the shape of the radiation terminal region.The corresponding average∣PMV∣around the occupants is 0.102,which is also within an acceptable range.All in all,PLSM can be used to inversely design the RC systems,which provides an effective design method for realizing accurate control of the indoor environment using the RC systems.
