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Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building

Author

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  • Seyedeh Farzaneh Mousavi Motlagh

    (Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, Iran)

  • Ali Sohani

    (Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran)

  • Mohammad Djavad Saghafi

    (Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, Iran)

  • Hoseyn Sayyaadi

    (Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran)

  • Benedetto Nastasi

    (Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy)

Abstract

The purpose of this investigation is to propose a way for acquiring the foremost window allocation scheme to have the best trade-off among energy, environmental, and comfort criteria in a building. An advanced decision-making tool, named the technique for order preference by similarity to ideal solution (TOPSIS), is utilized to find the best building amongst different alternatives for having windows on the building façades. Three conditions, namely two parallel, two perpendicular, and three façades, considered as A, B, and C types, respectively, are investigated. For each type, four possible orientations are studied. Heating, cooling, and lighting energy demands in addition to carbon dioxide equivalent emission and thermal and visual comfort are taken into account as the investigated criteria, and they are all evaluated in a simulation environment. The results show that for the modular residential buildings chosen as the case study and located in Tehran, Iran, having windows on the north and east façades is the best scheme. This alternative, which belongs to the B type, has about 40% and 37% lower heating and cooling energy demands than the C type’s foremost alternative. It is also able to provide about 10% better CO 2 equivalent emission and 28% higher thermal comfort.

Suggested Citation

  • Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building," Energies, MDPI, vol. 14(13), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3962-:d:586972
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    References listed on IDEAS

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    1. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    2. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings," Energies, MDPI, vol. 14(3), pages 1-30, January.
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    Cited by:

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    3. Seif Khiati & Rafik Belarbi & Ammar Yahia, 2023. "Sustainable Buildings: A Choice, or a Must for Our Future?," Energies, MDPI, vol. 16(6), pages 1-5, March.
    4. Qing Wang & Hanbing Xiong & Tingzhen Ming, 2022. "Methods of Large-Scale Capture and Removal of Atmospheric Greenhouse Gases," Energies, MDPI, vol. 15(18), pages 1-5, September.

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