Monday August 26, 2019 from 10:30 to 12:10
Optimal Operation of HVAC System Incorporated with Online Performance Evaluation Based on Operation Data
Wantao Shi1, Jiangqing Wang1, Xinqiao Jin1.
1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
With the higher requirement of intelligent operation of HVAC system and the more operation data being gathered, it is possible to use the operation data to intelligentize and optimize operation of HVAC system. This paper presents an optimal method for operation of chilled water system of HVAC. An online performance evaluation is set up and incorporated to guide the operation optimization. The evaluation benchmark is an optimal performance curve based on historical operation data and the time for optimization is determined by evaluation index. The optimization includes energy prediction and setpoints optimization, which are based on BP neural network and PSO, respectively. The proposed optimization method is validated by an actual chilled water system located in China, and it is compared with a conventional optimization method. The results show that the proposed method can save the energy consumption of the system without increasing the computation burden.