Adaptive regression model-based real-time optimal control of central air-conditioning systems

被引:16
|
作者
Hussain, Syed Asad [1 ]
Huang, Gongsheng [1 ]
Yuen, Richard Kwok Kit [1 ]
Wang, Wei [2 ]
机构
[1] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China
[2] Southeast Univ, Sch Architecture, Nanjing, Peoples R China
关键词
Optimal control; Data segmentation; Adaptive model; Energy saving; Central air-conditioning system; PREDICTIVE CONTROL; HVAC SYSTEMS; OPTIMIZATION; ALGORITHMS; IDENTIFICATION;
D O I
10.1016/j.apenergy.2020.115427
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
Model-based, real-time optimal control is an effective tool to improve the energy efficiency of central air-conditioning systems. However, its performance relies heavily on the accuracy of the system models, whereas the development of accurate models for central air-conditioning systems is not easy due to their complex dynamics and non-linearities. This study presents an adaptive regression model-based real-time optimal control strategy for central air-conditioning systems. In the proposed strategy, regression models are adopted to describe the relationship between the power consumption of the system and the variables that are optimised. Their simple structures enable a low computation load for model updating and real-time optimisation. The length of the training data (for model updating) is investigated, and a suitable length is found using a similarity check-based method. Case studies were carried out to assess the performance of the proposed strategy, and they demonstrated that (1) a week was the optimal length of the training data for the case system, (2) the proposed strategy saved energy use by 3.48-10.59% when compared with a benchmark system with no optimisation, and (3) the proposed method reduced the computational load by 85% when compared with a simplified physical model-based optimal control without adaptive modelling.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Real-Time Monitoring of People Flows and Indoor Temperature Distribution for Advanced Air-Conditioning Control
    Katabira, Kyoichiro
    Zhao, Huijing
    Nakagawa, Yuri
    Shibasaki, Ryosuke
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, : 664 - +
  • [32] Model-based Synthesis for Real-time Embedded Systems
    Zhu, Qi
    [J]. 2014 IEEE 57TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2014, : 366 - 369
  • [33] Model-Based Implementation of Parallel Real-Time Systems
    Triki, Ahlem
    Combaz, Jacques
    Bensalem, Saddek
    Sifakis, Joseph
    [J]. FUNDAMENTAL APPROACHES TO SOFTWARE ENGINEERING, FASE 2013, 2013, 7793 : 235 - 249
  • [34] Model-Based Testing of Real-Time Distributed Systems
    Vain, Jueri
    Halling, Evelin
    Kanter, Gert
    Anier, Aivo
    Pal, Deepak
    [J]. DATABASES AND INFORMATION SYSTEMS, DB&IS 2016, 2016, 615 : 272 - 286
  • [35] Model transformations in the model-based development of real-time systems
    Szemethy, Tivadar
    Karsai, Gabor
    Balasubramanian, Daniel
    [J]. 13TH ANNUAL IEEE INTERNATIONAL SYMPOSIUM AND WORKSHOP ON ENGINEERING OF COMPUTER BASED SYSTEMS, PROCEEDINGS: MASTERING THE COMPLEXITY OF COMPUTER-BASED SYSTEMS, 2006, : 177 - +
  • [36] Research of Energy Saving Control for Central Air-conditioning based on Adaptive Fuzzy PID Method
    Sun, Jianmin
    Zhang, Chundong
    Zhou, Zeyang
    [J]. PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING, PTS. 1-5, 2012, 204-208 : 4286 - 4291
  • [37] Model-based optimal rate control algorithm for real-time hybrid video encoder
    Lin, He-Yuan
    Lee, Gwo Giun
    Wang, Ming-Jiun
    Su, Drew Wei-Chi
    Lin, Bo-Yun
    [J]. 2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 2006, : 4455 - +
  • [38] RETRACTED: Enthalpy Control for Central Air-conditioning Systems (Retracted Article)
    Xing, Lijuan
    Yang, Shizhong
    [J]. 2011 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL SCIENCE-ICEES 2011, 2011, 11 : 1817 - 1821
  • [39] Event-driven optimal control of central air-conditioning systems: Event-space establishment
    Wang, Junqi
    Jia, Qing-Shan
    Huang, Gongsheng
    Sun, Yongjun
    [J]. SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2018, 24 (08) : 839 - 849
  • [40] An optimal control strategy with enhanced robustness for air-conditioning systems considering model and measurement uncertainties
    Zhu, Na
    Shan, Kui
    Wang, Shengwei
    Sun, Yongjun
    [J]. ENERGY AND BUILDINGS, 2013, 67 : 540 - 550