Robust optimal design of chiller plants based on cooling load distribution

被引:7
|
作者
Cheng, Qi [1 ]
Yan, Chengchu [1 ]
Wang, Shengwei [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Bldg Serv Engn, Hong Kong, Hong Kong, Peoples R China
关键词
air-conditioning system; optimal design; robust optimal design; uncertainties; BUILDINGS; UNCERTAINTY;
D O I
10.1016/j.egypro.2015.07.212
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Conventional designs of chiller plants are typically based on the peak cooling loads of buildings, while only a small proportion of time in a year the cooling load of a building is at its peak level. In this paper, a robust optimal design concerning the cooling load distribution in design is proposed to select the optimal combinations of chiller plants, which have the highest probability to operate at high part load ratio (PLR) and COP. A case study on the air-conditioning system of an underground station in Hong Kong is conducted to test the robust optimal design and demonstrate the processes of determining the optimal chiller combination. The results show that the robust optimal design can ensure the selected chiller plant to operate at higher PLR and COP compared with that using a conventional design method. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1354 / 1359
页数:6
相关论文
共 50 条
  • [1] Optimal distribution of chiller design capacity in district cooling system
    Kang, Ying-Zi
    Hua, Ben
    [J]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2008, 36 (02): : 117 - 121
  • [2] Cooling load forecasting-based predictive optimisation for chiller plants
    Wang, Lan
    Lee, Eric Wai Ming
    Yuen, Richard K. K.
    Feng, Wei
    [J]. ENERGY AND BUILDINGS, 2019, 198 : 261 - 274
  • [3] Optimal control strategies for multi-chiller system based on probability density distribution of cooling load ratio
    Fan, Bo
    Jin, Xinqiao
    Du, Zhimin
    [J]. ENERGY AND BUILDINGS, 2011, 43 (10) : 2813 - 2821
  • [4] Robust optimization based optimal chiller loading under cooling demand uncertainty
    Saeedi, Mohammadhossein
    Moradi, Mandi
    Hosseini, Meysam
    Emamifar, Armin
    Ghadimi, Noradin
    [J]. APPLIED THERMAL ENGINEERING, 2019, 148 : 1081 - 1091
  • [5] Rule-based Optimal Control for the Cooling water Subsystem of Chiller Plants
    Zhang, Yin
    Li, Rui
    Wang, Fulin
    Li, Ao
    Huang, Dan
    Chen, Gang
    [J]. IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 8138 - 8143
  • [6] Cooling Load Forecasting for Chiller Plants Using Similar Day Based Wavelet Neural Networks
    Thota, Pavan Kumar
    Dani, Ashwin P.
    Luh, Peter B.
    Gupta, Shalabh
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPLEX SYSTEMS ENGINEERING (ICCSE), 2015,
  • [7] Amelioration of the cooling load based chiller sequencing control
    Huang, Sen
    Zuo, Wangda
    Sohn, Michael D.
    [J]. APPLIED ENERGY, 2016, 168 : 204 - 215
  • [8] An augmented group search optimization algorithm for optimal cooling-load dispatch in multi-chiller plants
    Teimourzadeh, Hamid
    Jabari, Farkhondeh
    Mohammadi-Ivatloo, Behnam
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2020, 85 (85)
  • [9] Probabilistic approach for uncertainty-based optimal design of chiller plants in buildings
    Cheng, Qi
    Wang, Shengwei
    Yan, Chengchu
    Xiao, Fu
    [J]. APPLIED ENERGY, 2017, 185 : 1613 - 1624
  • [10] Robust optimal design of building cooling systems considering cooling load uncertainty and equipment reliability
    Gang, Wenjie
    Wang, Shengwei
    Xiao, Fu
    Gao, Dian-ce
    [J]. APPLIED ENERGY, 2015, 159 : 265 - 275