• Login
    View Item 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Engineering and Sustainable Development
    • View Item
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Engineering and Sustainable Development
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    HVAC system optimization for energy management by evolutionary programming

    Thumbnail
    Date
    2006
    Author
    Fong, Kwong Fai;
    Hanby, V. I. (Victor Ian), 1942-;
    Chow, Tin-Tai
    Metadata
    Show attachments and full item record
    Abstract
    Energy management of heating, ventilating and air-conditioning (HVAC) systems is a primary concern in building projects, since the energy consumption in electricity has the highest percentage in HVAC among all building services installations and electric appliances. Without sacrifice of thermal comfort, to reset the suitable operating parameters, such as the chilled water temperature and supply air temperature, would have energy saving with immediate effect. For the typical commercial building projects, it is not difficult to acquire the reference settings for efficient operation. However, for some special projects, due to the specific design and control of the HVAC system, conventional settings may not be necessarily energy-efficient in daily operation. In this paper, the simulation-optimization approach was proposed for the effective energy management of HVAC system. Due to the complicated interrelationship of the entire HVAC system, which commonly includes the water side and air side systems, it is necessary to suggest optimum settings for different operations in response to the dynamic cooling loads and changing weather conditions throughout a year. A metaheuristic simulation–EP (evolutionary programming) coupling approach was developed using evolutionary programming, which can effectively handle the discrete, non-linear and highly constrained optimization problems, such as those related to HVAC systems. The effectiveness of this simulation–EP coupling suite was demonstrated through the establishment of a monthly optimum reset scheme for both the chilled water and supply air temperatures of the HVAC installations of a local project. This reset scheme would have a saving potential of about 7% as compared to the existing operational settings, without any extra cost.
    Description
    Citation : Fong, Kwong-Fai, Hanby, Victor Ian and Chow, Tin-Tai (2006) HVAC system optimization for energy management by evolutionary programming. Energy and buildings, 38 (3), pp. 220-231
    URI
    http://hdl.handle.net/2086/78
    DOI
    https://doi.org/10.1016/j.enbuild.2005.05.008
    ISSN : 0378-7788
    Research Group : Institute of Energy and Sustainable Development
    Collections
    • School of Engineering and Sustainable Development [1944]

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary
     

     

    Browse

    All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

    My Account

    Login

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary