Energy Saving Optimization of Chilled Water System Based on Improved Fruit Fly Optimization Algorithm
Affiliation of Author(s):
建筑设备科学与工程学院
Journal:
Journal of Thermal Science and Engineering Applications
Key Words:
chilled water system, fruit fly optimization algorithm, operating parameters,
energy consumption model
Abstract:
As the main energy consumption part of the central air-conditioning system, the energy
saving of the chilled water system is particularly important. In this paper, an improved
fruit fly optimization algorithm (IFOA) is used to optimize the operating parameters of
the chilled water system to reduce the energy consumption of the chilled water system. In
IFOA, the 3-D position coordinate is introduced to expand the search space of the algorithm, the variable-step strategy balances the global search ability and local search
ability of the algorithm and helps a single fruit fly jump out of the local optimization
through chaos mapping. In order to verify the optimization effect of IFOA on the chilled
water system, the energy consumption model of the chilled water system is established.
With the lowest total energy consumption of the system as the goal, the operating parameters such as the chilled water supply temperature and the speed ratio of the chilled water
pump are optimized. The simulation results show that the energy-saving optimization
method of a central air-conditioning chilled water system based on IFOA can make the
average energy-saving rate of the system reach 7.9%. Compared with other optimization
algorithms, the method has a better energy-saving effect and is more stable.
Paper Publications
