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Studying Energy Performance and Thermal Comfort Conditions in Heritage Buildings: A Case Study of Murabba Palace

Author

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  • Abobakr Al-Sakkaf

    (Department of Building, Civil, and Environmental Engineering, Concordia University, Montréal, QC H3G 1M8, Canada
    Department of Architecture & Environmental Planning, College of Engineering & Petroleum, Hadhramout University, Mukalla 50512, Yemen)

  • Eslam Mohammed Abdelkader

    (Structural Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt)

  • Sherif Mahmoud

    (Department of Architecture Engineering, Military Technical College, Cairo 11662, Egypt)

  • Ashutosh Bagchi

    (Department of Building, Civil, and Environmental Engineering, Concordia University, Montréal, QC H3G 1M8, Canada)

Abstract

Heritage buildings are significant historical and architecture added value, which requires deep and precise preliminary brainstorming when considering upgrading or retrofitting these valuable buildings. In this study, we opted to highlight some passive design architecture interventions to improve the thermal comfort and the required cooling energy for buildings. The Murabba Palace in Riyadh was selected as a case study. DesignBuilder software was used to evaluate the energy performance of ten passive architectural design alternatives throughout different seasons in an attempt to improve the energy performance and thermal comfort of heritage buildings. The ten passive design scenarios encompassed double low-E glass, double reflected glass, double low-E glass and double wall with an air gap, double low-E glass and double wall with thermal insulation, double low-E glass and double wall with lightweight thermal insulation, double low-E glass and double wall with sprayed foam insulation, double reflected glass and double wall with an air gap, double reflected glass and double wall with thermal insulation, double reflected glass and double wall with lightweight thermal insulation, and double reflected glass and double wall with sprayed foam insulation. The results show that using double low-E glass and applying a double wall with polystyrene thermal insulation can enhance the thermal comfort inside the building and reduce the energy performance and CO 2 emissions to 17% and 9%, respectively.

Suggested Citation

  • Abobakr Al-Sakkaf & Eslam Mohammed Abdelkader & Sherif Mahmoud & Ashutosh Bagchi, 2021. "Studying Energy Performance and Thermal Comfort Conditions in Heritage Buildings: A Case Study of Murabba Palace," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12250-:d:673409
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    References listed on IDEAS

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    1. Abobakr Al-Sakkaf & Tarek Zayed & Ashutosh Bagchi, 2020. "A Sustainability Based Framework for Evaluating the Heritage Buildings," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 9(2), pages 49-73, April.
    2. Pierfrancesco Fiore & Enrico Sicignano & Giuseppe Donnarumma, 2020. "An AHP-Based Methodology for the Evaluation and Choice of Integrated Interventions on Historic Buildings," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
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    Citations

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    Cited by:

    1. Ghasan Alfalah & Abobakr Al-Sakkaf & Eslam Mohammed Abdelkader & Tarek Zayed, 2022. "An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach," Sustainability, MDPI, vol. 14(16), pages 1-26, August.
    2. Edwin Koźniewski & Beata Sadowska & Karolina Banaszak, 2022. "Geometric Aspects of Assessing the Anticipated Energy Demand of a Designed Single-Family House," Energies, MDPI, vol. 15(9), pages 1-21, May.
    3. Zuhair Jastaneyah & Haslinda M. Kamar & Abdulrahman Alansari & Hakim Al Garalleh, 2023. "A Comparative Analysis of Standard and Nano-Structured Glass for Enhancing Heat Transfer and Reducing Energy Consumption Using Metal and Oxide Nanoparticles: A Review," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    4. Sensen Zhang & Zhenggang Huo & Chencheng Zhai, 2022. "Building Carbon Emission Scenario Prediction Using STIRPAT and GA-BP Neural Network Model," Sustainability, MDPI, vol. 14(15), pages 1-17, July.

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