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冯增喜

硕士生导师
教师姓名:冯增喜
教师拼音名称:fengzengxi
所在单位:建筑设备科学与工程学院
职务:建筑设备科学与工程学院副院长
学历:博士研究生
性别:男
学位:博士学位
职称:副教授
在职信息:在职
主要任职:西安建筑科技大学建科学院专业教师、副院长
其他任职:陕西省自动化学会智能建筑与楼宇自动化专业委员会副秘书长
毕业院校:西安建筑科技大学
所属院系:建筑设备科学与工程学院
学科:控制科学与工程    
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论文成果
Energy Saving Optimization of Chilled Water System Based on Improved Fruit Fly Optimization Algorithm
发布时间:2025-12-20    点击次数:

所属单位:建筑设备科学与工程学院

发表刊物:Journal of Thermal Science and Engineering Applications

关键字:chilled water system, fruit fly optimization algorithm, operating parameters, energy consumption model

摘要: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.

第一作者:冯增喜

论文类型:期刊论文

卷号:15(8): 081010

ISSN号:1948-5085

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发表时间:2023-05-30