• 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.

    Optimization of MVAC systems for energy management by evolutionary algorithm

    Thumbnail
    View/Open
    VIH_P7.pdf (73.29Kb)
    Date
    2003
    Author
    Fong, Kwong Fai;
    Hanby, V. I. (Victor Ian), 1942-;
    Chow, Tin-Tai
    Metadata
    Show attachments and full item record
    Abstract
    Energy management in existing building services installations is an essential focus of contemporary facilities management. The subway company that is one of the major utilities services in Hong Kong Special Administrative Region (HKSAR) has considered better energy management schemes in its subway stations to reduce the running cost. In the past few years, in order to achieve energy saving in the stations, some feasible measures in the Mechanical Ventilation and Air Conditioning (MVAC) systems were implemented, however the engineering decisions were supported by the trial-and-error or imprecise estimation. Improvement to this process would be possible if numerical optimization methods were to be used. Evolutionary algorithm coupled with external plant simulation programme was applied to determine the optimum conditions of the essential parameters of the MVAC systems, in order to provide a holistic energy management approach. For the centralized MVAC systems of the 5 subway stations under studies, the developed optimization and simulation model was found useful to appraise the energy management opportunities for effective design and facilities management.
    Description
    Citation : Fong, Kwong-Fai, Hanby, Victor Ian and Chow, Tin-Tai (2003) Optimization of MVAC systems for energy management by evolutionary algorithm. Facilities, 21 (10), pp. 223-232.
    URI
    http://hdl.handle.net/2086/73
    DOI
    https://doi.org/10.1108/02632770310493599
    ISSN : 0263-2772
    Research Group : Institute of Energy and Sustainable Development
    Collections
    • School of Engineering and Sustainable Development [1941]

    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