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Tropically Adapted Passive Building: A Descriptive-Analytical Approach Using Multiple Linear Regression and Probability Models to Predict Indoor Temperature

Author

Listed:
  • Siti Fatihah Salleh

    (PETRONAS Research Sdn. Bhd., Off Jalan Ayer Itam, Kawasan Institusi Bangi, Kajang 43000, Malaysia)

  • Ahmad Abubakar Suleiman

    (Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
    Department of Statistics, Aliko Dangote University of Science and Technology, Wudil 713281, Nigeria)

  • Hanita Daud

    (Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia)

  • Mahmod Othman

    (Department of Information System, Universitas Islam Indragiri, Tembilahan 29212, Indonesia)

  • Rajalingam Sokkalingam

    (Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia)

  • Karl Wagner

    (Faculty of Business Administration, Rosenheim Technical University of Applied Sciences, Hochschulstraße, 83024 Rosenheim, Germany)

Abstract

The quest for energy efficiency in buildings has placed a demand for designing and modeling energy-efficient buildings. In this study, the thermal energy performance of a tropically adapted passive building was investigated in the warm tropical climate of Malaysia. Two mock-up buildings were built to represent a “green”, made of clay brick double-glazed passive building and a conventional, made of concrete “red” building. The mean indoor temperature of the passive building was found to be always lower than that of the red building throughout the experiment during different weather constellations. Our research builds upon existing work in the field by combining multiple linear regression models and distribution models to provide a comprehensive analysis of the factors affecting the indoor temperature of a building. The results from the fitted multiple linear regression models indicate that walls and windows are critical components that considerably influence the indoor temperature of both passive buildings and red buildings, with the exception of passive buildings during the hot season, where the roof has a greater influence than the window. Furthermore, the goodness-of-fit test results of the mean indoor temperature revealed that the Fréchet and Logistic probability models fitted the experimental data in both cold and hot seasons. It is intended that the findings of this study would help tropical countries to devise comfortable, cost-effective passive buildings that are green and energy efficient to mitigate global warming.

Suggested Citation

  • Siti Fatihah Salleh & Ahmad Abubakar Suleiman & Hanita Daud & Mahmod Othman & Rajalingam Sokkalingam & Karl Wagner, 2023. "Tropically Adapted Passive Building: A Descriptive-Analytical Approach Using Multiple Linear Regression and Probability Models to Predict Indoor Temperature," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13647-:d:1238427
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    References listed on IDEAS

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    1. Abdullah Al Mamoon & Ataur Rahman, 2017. "Selection of the best fit probability distribution in rainfall frequency analysis for Qatar," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 281-296, March.
    2. Ji Eun Kang & Ki Uhn Ahn & Cheol Soo Park & Thorsten Schuetze, 2015. "Assessment of Passive vs. Active Strategies for a School Building Design," Sustainability, MDPI, vol. 7(11), pages 1-16, November.
    3. Aliyu Ismail Ishaq & Alfred Adewole Abiodun, 2020. "The Maxwell–Weibull Distribution in Modeling Lifetime Datasets," Annals of Data Science, Springer, vol. 7(4), pages 639-662, December.
    4. Çağla Beyaz & Çilen Erçin, 2023. "Evaluation of Modern Architecture Criteria in the Context of Sustainability and Architectural Approach; Modern Period in North Nicosia," Sustainability, MDPI, vol. 15(13), pages 1-48, June.
    5. Xiaomiao Liao & Wanjiang Wang & Yihuan Zhou, 2023. "Investigating the Energy-Saving Effectiveness of Envelope Retrofits and Photovoltaic Systems: A Case Study of a Hotel in Urumqi," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    6. Abdul Mujeebu, Muhammad & Bano, Farheen, 2022. "Integration of passive energy conservation measures in a detached residential building design in warm humid climate," Energy, Elsevier, vol. 255(C).
    7. Ileana Blanco & Fabiana Convertino, 2023. "Thermal Performance of Green Façades: Research Trends Analysis Using a Science Mapping Approach," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    8. Sana Sayadi & Abolfazl Hayati & Mazyar Salmanzadeh, 2021. "Optimization of Window-to-Wall Ratio for Buildings Located in Different Climates: An IDA-Indoor Climate and Energy Simulation Study," Energies, MDPI, vol. 14(7), pages 1-21, April.
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