Flow Resistance Coefficient Identification of Chilled Water System based on Multi-objective Optimization and Experiment Validation

被引:0
|
作者
Hou, Zhijian [1 ]
Qu, Ming [2 ]
Wang, Zhirui [3 ]
机构
[1] Shenzhen Polytech, Sch Mech & Elect Engn, Shenzhen 518055, Peoples R China
[2] Purdue Univ, Sch Civil Engn, W Lafayette, IN 47906 USA
[3] Inner Mongolia Univ Technol, Civil Engn Inst, Hohhot 010051, Peoples R China
关键词
Flow Resistance Coefficient; Parameter Identification; Chilled water system; COOLING COILS; MODEL;
D O I
10.4028/www.scientific.net/AMM.651-653.742
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Hydraulic resistance coefficient (HRC) is a fundamental parameter that characterizes the hydraulic state of a water pipeline and significantly determines the efficiency of the water-transport process. To estimate HRC and diagnose hydraulic process fault in building air conditioning system, a novel method called multi-objective optimization (MBO) strategy was developed in the research effort. MBO is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. In this paper, first, the basic principle of the approach is presented. Then several experiments are conducted to identify the HRC in a real air conditioning system. And the water flow rate of each air handling terminal unit is estimated by the flow rate of primary pipe and identified HRC. The experiment results show that the model can accurately estimate HRCs. The HRCs of each pipe and terminal unit were obtained by the flow rate and the pressure difference of primary pipe without requiring geometric specifications, which is very convenient in real engineering application.
引用
收藏
页码:742 / +
页数:2
相关论文
共 50 条
  • [21] Switched system identification based on the constrained multi-objective optimization problem with application to the servo turntable
    Qian Zhang
    Qunjing Wang
    Guoli Li
    International Journal of Control, Automation and Systems, 2016, 14 : 1153 - 1159
  • [22] System Reliability Based Multi-Objective Design Optimization of Bridges
    Okasha, Nader M.
    STRUCTURAL ENGINEERING INTERNATIONAL, 2016, 26 (04) : 324 - 332
  • [23] Multi-objective optimization of water distribution system: a hybrid evolutionary algorithm
    Gheitasi, Masoud
    Kaboli, Hesam Seyed
    Keramat, Alireza
    JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH, 2021, 9 (03): : 203 - 215
  • [24] Multi-objective Optimization of a Membrane Distillation System for Desalination of Sea Water
    Sharma, Shivom
    Rangaiah, G. P.
    22 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2012, 30 : 117 - 121
  • [25] A Novel Human Identification Model Based on Multi-objective Optimization of Electrocardiogram
    Chen, Qiming
    Guo, Shuli
    Zhang, Yitong
    Han, Lina
    2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2019, : 154 - 159
  • [26] Individual evaluation scheduling for experiment-based evolutionary multi-objective optimization
    Kaji, Hirotaka
    Kita, Hajime
    EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, 2007, 4403 : 645 - +
  • [27] Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-objective Optimization
    Kaji, Hirotaka
    Kita, Hajime
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2010, 93 (02) : 12 - 24
  • [28] Individual evaluation scheduling for experiment-based evolutionary multi-objective optimization
    Yamaha Motor Co., Ltd., 2500 Singai, Iwata, Shizuoka 438-8501, Japan
    不详
    IEEJ Trans. Electron. Inf. Syst., 1600, 6 (986-996+22):
  • [29] Avoidance of Constraint Violation for Experiment-Based Evolutionary Multi-objective Optimization
    Kaji, Hirotaka
    Ikeda, Kokolo
    Kita, Hajime
    2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5, 2009, : 2756 - +
  • [30] A novel multi-objective discrete water wave optimization for solving multi-objective blocking flow-shop scheduling problem
    Shao, Zhongshi
    Pi, Dechang
    Shao, Weishi
    KNOWLEDGE-BASED SYSTEMS, 2019, 165 : 110 - 131