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Modeling and Performance Analysis for High-Rise Building Using ArchiCAD: Initiatives towards Energy-Efficient Building

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  • Siti Birkha Mohd Ali

    (Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia
    Institute of Advanced Studies, University of Malaya, Kuala Lumpur 50603, Malaysia
    Faculty of Engineering and Life Sciences, Universiti Selangor, Bestari Jaya 45600, Selangor, Malaysia)

  • Amirhossein Mehdipoor

    (Ecole de Technologie Superieure ETS, 1100 Notre-Dame St W, Montreal, QC H3C1K3, Canada)

  • Noora Samsina Johari

    (Faculty of Engineering and Life Sciences, Universiti Selangor, Bestari Jaya 45600, Selangor, Malaysia)

  • Md. Hasanuzzaman

    (Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia)

  • Nasrudin Abd Rahim

    (Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia)

Abstract

An energy-efficient building is not built in a day. It requires effective processes, approaches, and tools, as well as high commitment from all the involved parties. A similar requirement is needed for effective retrofitting practice. Building Information Modelling (BIM) is one of the sensible processes in ensuring either the new building development or retrofitting initiatives arrive at its ultimate objectives, i.e., reduction in energy consumption, energy cost, and removal of harmful emissions. Many studies had proved that a window is one of the building elements that could contribute to establishing an energy-efficient building. Therefore, a 25-floor Wisma R&D, University of Malaya building was modeled using ArchiCAD to analyse the influences of window glazing, opaque materials, and shading elements on overall building energy performances. The accuracy of the model and simulation outcome was initially compared with the energy audit result conducted from March to May 2017. Consequently, this study revealed that the effective combinations of the window parameters had assisted in improving the infiltration rate and heat transfer coefficient which allowed a lower cooling load within 3% to 6%, respectively. After most, minimum savings of 18,133.9 kWh, RM 6618.88, and 1265.16 kg of carbon dioxide (CO 2 ) were gained through a reduction of cooling load in Wisma R&D based on the window system improvement. This article aims to promote the capability of ArchiCAD as a practical tool for effective retrofitting decision-making. Ultimately, this study revealed the importance of a multivariate framework in building energy conservation and provide an insight into the improvement of the Malaysia Standard MS1525:2019, mainly for high-rise buildings in Malaysia.

Suggested Citation

  • Siti Birkha Mohd Ali & Amirhossein Mehdipoor & Noora Samsina Johari & Md. Hasanuzzaman & Nasrudin Abd Rahim, 2022. "Modeling and Performance Analysis for High-Rise Building Using ArchiCAD: Initiatives towards Energy-Efficient Building," Sustainability, MDPI, vol. 14(15), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9780-:d:883123
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    References listed on IDEAS

    as
    1. Abanda, F.H. & Byers, L., 2016. "An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)," Energy, Elsevier, vol. 97(C), pages 517-527.
    2. Liu, Xiaochen & Zhang, Tao & Liu, Xiaohua & Li, Lingshan & Lin, Lin & Jiang, Yi, 2021. "Energy saving potential for space heating in Chinese airport terminals: The impact of air infiltration," Energy, Elsevier, vol. 215(PB).
    3. Walter, Travis & Sohn, Michael D., 2016. "A regression-based approach to estimating retrofit savings using the Building Performance Database," Applied Energy, Elsevier, vol. 179(C), pages 996-1005.
    4. Sanjin Gumbarević & Ivana Burcar Dunović & Bojan Milovanović & Mergim Gaši, 2020. "Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery," Energies, MDPI, vol. 13(20), pages 1-21, October.
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