IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i2p400-d479239.html
   My bibliography  Save this article

A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency

Author

Listed:
  • Zelin Nie

    (State Key Laboratory for Manufacturing Systems Engineering, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Feng Gao

    (State Key Laboratory for Manufacturing Systems Engineering, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Chao-Bo Yan

    (State Key Laboratory for Manufacturing Systems Engineering, School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Reducing the energy consumption of the heating, ventilation, and air conditioning (HVAC) systems while ensuring users’ comfort is of both academic and practical significance. However, the-state-of-the-art of the optimization model of the HVAC system is that either the thermal dynamic model is simplified as a linear model, or the optimization model of the HVAC system is single-timescale, which leads to heavy computation burden. To balance the practicality and the overhead of computation, in this paper, a multi-timescale bilinear model of HVAC systems is proposed. To guarantee the consistency of models in different timescales, the fast timescale model is built first with a bilinear form, and then the slow timescale model is induced from the fast one, specifically, with a bilinear-like form. After a simplified replacement made for the bilinear-like part, this problem can be solved by a convexification method. Extensive numerical experiments have been conducted to validate the effectiveness of this model.

Suggested Citation

  • Zelin Nie & Feng Gao & Chao-Bo Yan, 2021. "A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency," Energies, MDPI, vol. 14(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:400-:d:479239
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/2/400/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/2/400/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Ouyang & Lu Qu & Qiyang Liu & Baoye Tian & Zhichang Yuan & Peiqian Guo & Hongyi Dai & Weikun He, 2021. "Calculation and Analysis of the Interval Power Flow for Distributed Energy System Based on Affine Algorithm," Energies, MDPI, vol. 14(3), pages 1-14, January.
    2. Rima Aridi & Jalal Faraj & Samer Ali & Mostafa Gad El-Rab & Thierry Lemenand & Mahmoud Khaled, 2021. "Energy Recovery in Air Conditioning Systems: Comprehensive Review, Classifications, Critical Analysis, and Potential Recommendations," Energies, MDPI, vol. 14(18), pages 1-31, September.
    3. Ding-Horng Chen & Chun-Tang Chao & Juing-Shian Chiou, 2021. "Robust Stabilization and Observer-Based Stabilization for a Class of Singularly Perturbed Bilinear Systems," Mathematics, MDPI, vol. 9(19), pages 1-11, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:400-:d:479239. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.