Simulation on Lighting Energy Consumption based on Building Information Modelling for Energy Efficiency at Highway Rest and Service Areas Malaysia
Open accessAbstract
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.
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Dimming can provide efficiency up to 40% and increase visual comfort.
“Neardy et al. [74] say dimming can provide efficiency up to 40% and increase visual comfort.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Neardy et al. [74]
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Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101 · see citing works
“[74] say dimming can provide efficiency up to 40% and increase visual comfort.”
Background
- Authors
- Neardey, M., Aminudin, E., Chung, L. P., Zin, R. M., Zakaria, R., Che Wahid, C. M. F. H., Hamid, A. R. A., & Noor, Z. Z. N.
- Affiliations
- University of Technology Malaysia (MY)
- UTM Construction Research Centre (MY)
- Venue
- IOP Conference Series: Materials Science and Engineering
- Publisher
- IOP Publishing
- Published
- 2020-10-01
- Volume
- 943
- Issue
- 1
- Pages
- 012062
- ISSN
- 1757-8981 (ISSN-L)
- 1757-899X
- OpenAlex
- W3097966024
- Cited by
- 4
- References
- 0
- Citations by year
- 2025: 2 · 2023: 1 · 2022: 1
- FWCI
- 0.83
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- IOP Conference Series Materials Science and Engineering (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Keywords
- lighting energy consumption, building energy efficiency, building retrofit, carbon footprint reduction, EnergyPlus simulation
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