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Assessment of the building components in the energy efficient design of tropical residential buildings: An application of BIM and statistical Taguchi method

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  • Sadeghifam, Aidin Nobahar
  • Meynagh, Mahdi Moharrami
  • Tabatabaee, Sanaz
  • Mahdiyar, Amir
  • Memari, Ashkan
  • Ismail, Syuhaida

Abstract

With the growing energy and economic crises, the need for optimization of energy consumption in the design and construction of buildings has recently become even more significant. This study aimed to determine the best combinations of building-envelope materials with the consideration of influential and uncontrollable factors for energy-efficient design in Malaysia. Residential buildings in Malaysia consume a significant amount of electrical energy for air-conditioning purposes. A typical one-storey terrace house was selected as a case study, and building information modeling (BIM) applications were used to simulate its energy performance. The selected case study was modeled using the Autodesk Revit Software and exported to the EnergyPlus software for energy analysis. In order to optimize the number of examinations in the simulation software, the effect of noise factors was assessed using the Taguchi method. The current energy-consumption patterns were identified and converted into the optimized options in component types. The results of this novel approach provide appropriate information about the performance of the modified energy-efficient material in building components with consideration of noise factors to achieve more reliable outcomes. It was concluded that the appropriate selection of ceiling, window, wall, roof, and floor components could greatly increase energy efficiency in descending order.

Suggested Citation

  • Sadeghifam, Aidin Nobahar & Meynagh, Mahdi Moharrami & Tabatabaee, Sanaz & Mahdiyar, Amir & Memari, Ashkan & Ismail, Syuhaida, 2019. "Assessment of the building components in the energy efficient design of tropical residential buildings: An application of BIM and statistical Taguchi method," Energy, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:energy:v:188:y:2019:i:c:s036054421931775x
    DOI: 10.1016/j.energy.2019.116080
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    References listed on IDEAS

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    1. Xun Liu & Zhenhan Ding & Xiaobo Li & Zhiyuan Xue, 2023. "Research Progress, Hotspots, and Trends of Using BIM to Reduce Building Energy Consumption: Visual Analysis Based on WOS Database," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    2. Seyed Mohammad Hossein Zakeri & Sanaz Tabatabaee & Syuhaida Ismail & Amir Mahdiyar & Mohammad Hussaini Wahab, 2023. "Developing an MCDM Model for the Benefits, Opportunities, Costs and Risks of BIM Adoption," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    3. Carlo Iapige De Gaetani & Andrea Macchi & Pasquale Perri, 2020. "Joint Analysis of Cost and Energy Savings for Preliminary Design Alternative Assessment," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    4. Pochwała, Sławomir & Anweiler, Stanisław & Tańczuk, Mariusz & Klementowski, Igor & Przysiężniuk, Dawid & Adrian, Łukasz & McNamara, Greg & Stevanović, Žana, 2023. "Energy source impact on the economic and environmental effects of retrofitting a heritage building with a heat pump system," Energy, Elsevier, vol. 278(PB).
    5. Liu, Zhengxuan & Sun, Pengchen & Xie, Mingjing & Zhou, Yuekuan & He, Yingdong & Zhang, Guoqiang & Chen, Dachuan & Li, Shuisheng & Yan, Zhongjun & Qin, Di, 2021. "Multivariant optimization and sensitivity analysis of an experimental vertical earth-to-air heat exchanger system integrating phase change material with Taguchi method," Renewable Energy, Elsevier, vol. 173(C), pages 401-414.
    6. Kotarela, Faidra & Kyritsis, Anastasios & Agathokleous, Rafaela & Papanikolaou, Nick, 2023. "On the exploitation of dynamic simulations for the design of buildings energy systems," Energy, Elsevier, vol. 271(C).
    7. Scarpa, Federico & Tagliafico, Luca A. & Bianco, Vincenzo, 2021. "Financial and energy performance analysis of efficiency measures in residential buildings. A probabilistic approach," Energy, Elsevier, vol. 236(C).
    8. Junpeng Fu & Jiuju Cai, 2020. "Parametric Study on the Flow Profiles of Vertical Sinter Cooling Bed Using the DEM and Taguchi Method for Waste Heat Recovery," Energies, MDPI, vol. 13(19), pages 1-34, September.

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