Particle swarm optimization method for minimum energy consumption of air conditioning chilled water systems

Xing Shanshuo, Zhang Jili and Yu Hao

2021.01.20

Aiming at the variable flow system of primary pumps with “parallel first and then series”, proposes a distributed optimization method of chilled water based on particle swarm optimization algorithm, which optimizes the partial load rate, evaporating temperature and pump speed ratio of chillers, and obtains an on-off combination of parallel water chillers and parallel pumps, meeting the requirements of distributed calculation. Verifies the effectiveness and energy-saving effect of the algorithm by a simulation test of a chilled water system in a typical refrigeration station.