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Simulation on Lighting Energy Consumption based on Building Information Modelling for Energy Efficiency at Highway Rest and Service Areas Malaysia

Author(s):







Medium: journal article
Language(s): English
Published in: IOP Conference Series: Materials Science and Engineering, , n. 1, v. 943
Page(s): 012062
DOI: 10.1088/1757-899x/943/1/012062
Abstract:

Building consumes 40% of global energy consumption which contributes for such a majority amount of carbon dioxide emission. Enhancing the energy efficiency strategies in buildings by retrofitting through different approaches is essential for reducing end user on the amount of energy consumption and carbon footprint emission. Previous research shows that only a few studies have been conducted on retrofitting the energy performance on Rest and Service Area yet the result shows that lack of technical feasibility practice was reviewed. Hence, this paper explores the energy efficiency strategy by improving the lighting performance based on 24 hours service building at Rest and Service Area Ayer Keroh Northbound Malaysia. The simulation that was performed in lighting energy consumption was EnergyPLUS software, Autodesk Revit and RELUX Plug in tool in Revit. Preliminary study was conducted to identity the problem on energy performance at Rest and Service Area Ayer Keroh by determine the total energy consumption by sources and Building Energy Intensity [BEI]. The result shows lighting contributes to the most total load consumption due to lack of energy conservation management and energy efficiency strategy practices. The lighting simulation scenarios was created to enhance the energy consumption performance and reduced the irrelevant carbon footprint emission. The simulation in Revit and EnergyPLUS showed 17% and 49% reduction respectively on the end load of lighting energy consumption by reducing the overall time operation and daylight control dimming system.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1757-899x/943/1/012062.
  • About this
    data sheet
  • Reference-ID
    10675048
  • Published on:
    03/06/2022
  • Last updated on:
    03/06/2022
 
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