An optimal configuration strategy of multi-chiller system based on overlap analysis and improved GA

被引:1
作者
Lyu, Yuan [1 ]
Jin, Xinqiao [1 ]
Xue, Qi [1 ]
Jia, Zhiyang [1 ]
Du, Zhimin [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-chiller system; Chiller configuration; Overlap analysis; Improved genetic algorithm; COOLING LOAD UNCERTAINTY; ROBUST OPTIMAL-DESIGN; PLANTS; OPTIMIZATION; PERFORMANCE; ALGORITHM;
D O I
10.1016/j.buildenv.2024.112117
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For design of the multi-chiller system, the configuration can be optimized that the system is high efficiency when it is operated under frequent load and operation condition in one year. Base on this idea, the paper presents a novel strategy of optimal configuration of multi-chiller system. The high hour-density range of annual load distribution and the high-efficiency region of combination of chillers are presented respectively, and their obtaining methods are developed. The overlap index is defined to evaluate the overlap between the highefficiency region and high hour-density range, and it is maximized for the proposed optimal configuration strategy. GA is improved and employed for optimization. The proposed optimal configuration strategy is validated in a real multi-chiller system. The results show that the optimal configuration configured by the proposed strategy can improve annual Energy Efficiency Ratio (EER) about 5 % comparing with the original configuration of the real system. The configurations using equivalent strategy and typical non-equivalent strategy are compared, and the results show that both of hourly COP and annual EER of the configuration of the proposed strategy are better than them. 50 random configurations enumerated from chiller candidates are also compared. The results show that the overlap index is strongly correlated to annual EER, and it can be taken as optimization object for optimal configuration. Improved GA is compared with original GA, and the results show that of computation time cost can be reduced more than 60 % by use of Improved GA. The validation results show that the proposed strategy can obtain the optimal configuration of multi-chiller system directly from chiller candidates.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Dynamic strategy based fast decomposed GA coordinated with FACTS devices to enhance the optimal power flow
    Mahdad, Belkacem
    Bouktir, T.
    Srairi, K.
    EL Benbouzid, M.
    ENERGY CONVERSION AND MANAGEMENT, 2010, 51 (07) : 1370 - 1380
  • [42] Game theoretical analysis on capacity configuration for microgrid based on multi-agent system
    Jin, Shunping
    Wang, Shoupeng
    Fang, Fang
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 125
  • [43] An optimal configuration method of multi-level manufacturing resources based on community evolution for social manufacturing
    Zhang, Yingfeng
    Zhang, Dang
    Wang, Zhe
    Qian, Cheng
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 65
  • [44] Optimal loading method of multi type railway flatcars based on improved genetic algorithm
    Yang, Zhongliang
    JOURNAL OF INTELLIGENT SYSTEMS, 2022, 31 (01) : 915 - 926
  • [45] Multi-Search Strategy-based Improved Water Flow OptimizerAlgorithm for ClusterAnalysis
    Thakral, Prateek
    Kumar, Yugal
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2024, 30 (11) : 1529 - 1568
  • [46] Multi-Objective Optimal Operation for Steam Power Scheduling Based on Economic and Exergetic Analysis
    Huang, Yu
    Hou, Weizhen
    Huang, Yiran
    Li, Jiayu
    Li, Qixian
    Wang, Dongfeng
    Zhang, Yan
    ENERGIES, 2020, 13 (08)
  • [47] Multi-Objective Optimal Configuration of Hydrogen Fuel Cell-Based Multi-Energy Microgrid System Considering Exergy
    Li, Ji
    Xu, Lei
    Kou, Yang
    Liang, Weile
    Wang, Yunshan
    Yuan, Zhi
    ELECTRONICS, 2024, 13 (19)
  • [48] Analysis of energy system configuration and energy balance for stratospheric airship based on position energy storage strategy
    Shan, Chuan
    Lv, Mingyun
    Sun, Kangwen
    Gao, Jian
    AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 101 (101)
  • [49] Multi-objective probabilistic back analysis for selecting the optimal updating strategy based on multi-source observations
    Li, Zhibin
    Gong, Wenping
    Zhang, Liang
    Wang, Lei
    COMPUTERS AND GEOTECHNICS, 2022, 151
  • [50] Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches
    Selim, Ali
    Kamel, Salah
    Alghamdi, Ali S.
    Jurado, Francisco
    IEEE ACCESS, 2020, 8 : 52815 - 52829