Energy Saving Optimization of Chilled Water System Based on Improved Fruit Fly Optimization Algorithm

Abstract As the main energy consumption part of central air-conditioning system, saving chilled water system is particularly important. In this paper, an improved fruit fly optimization algorithm (IFOA) used to optimize operating parameters reduce system. IFOA, 3-D position coordinate introduced expand search space algorithm, variable-step strategy balances global ability and local helps a single jump out through chaos mapping. order verify effect IFOA on model established. With lowest total as goal, such supply temperature speed ratio pump are optimized. The simulation results show that energy-saving method based can make average rate reach 7.9%. Compared with other algorithms, has better more stable.