ANN based optimized AHU discharge air temperature control of conventional VAV system for minimized cooling energy in an office building

Jong Man Lee, Won Hee Kang, Kwang Ho Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper assesses the energy performance of applying optimal control of air handling unit (AHU) discharge air temperature (DAT). An artificial neural network (ANN) model was used through the link between Matlab and EnergyPlus via BCVTB to realize automatic and optimal control of the AHUDAT. As a result of this study, the predictive control algorithm was able to significantly reduce cooling energy by approximately 10%, compared to a conventional control strategy of fixing AHUDAT to 14°C. These findings suggest that the ANN model and the control algorithm showed energy saving potential for various types of forced air systems by taking dynamic operating conditions into account.

    Original languageEnglish
    Title of host publication16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
    EditorsVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
    PublisherInternational Building Performance Simulation Association
    Pages1802-1808
    Number of pages7
    ISBN (Electronic)9781713809418
    Publication statusPublished - 2019
    Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
    Duration: 2019 Sept 22019 Sept 4

    Publication series

    NameBuilding Simulation Conference Proceedings
    Volume3
    ISSN (Print)2522-2708

    Conference

    Conference16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
    Country/TerritoryItaly
    CityRome
    Period19/9/219/9/4

    Bibliographical note

    Publisher Copyright:
    © 2019 Building Simulation Conference Proceedings. All rights reserved.

    ASJC Scopus subject areas

    • Building and Construction
    • Architecture
    • Modelling and Simulation
    • Computer Science Applications

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