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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    BIM-BASED ENERGY PERFORMANCE MODELING AND SIMULATION OF HOTEL BUILDING
    Laxmi Gupta* and R L Sharma**
    Journal of Data Acquisition and Processing, 2023, 38 (4): 237-255 . 

    Abstract

    Building energy simulation using building information modeling (BIM) is proving to be an efficient technique in recent years for overcoming the challenging energy modeling process, reducing time, and advancing building energy modeling (BEM) and simulation into the digital design process. It facilitates the simulation of the energy performance of both new and existing buildings on a single platform. However, there is still a sizable discrepancy between the actual energy usage and the outcomes anticipated on longer time scales (monthly or annual basis) for a variety of reasons. We simulated the energy performance of a multi-story hotel to investigate the applicability and efficacy of this approach. Using the same building data, ASHRAE's CLTD/SCL/CLF method and Autodesk's Revit 2021 were used to anticipate the cooling load of the building. Revit 2021 was also used to model the building's actual annual energy use, which was then contrasted with the measured data. As far as the peak cooling load is concerned, the results demonstrate good agreement. However, compared to measured data, annual energy consumption prediction greatly deviates.

    Keyword

    Building information modeling (BIM), building energy modeling (BEM), Autodesk Revit, EnergyPlus,


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ISSN 1004-9037

         

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