LAPSE:2023.33385
Published Article

LAPSE:2023.33385
Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
April 21, 2023
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 CO2 equivalent emission and 28% higher thermal comfort.
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 CO2 equivalent emission and 28% higher thermal comfort.
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Keywords
building performance simulation, CO2 emission, energy saving, occupant’s comfort, window allocation
Subject
Suggested Citation
Mousavi Motlagh SF, Sohani A, Djavad Saghafi M, Sayyaadi H, Nastasi B. Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building. (2023). LAPSE:2023.33385
Author Affiliations
Mousavi Motlagh SF: Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, Iran [ORCID]
Sohani A: Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran [ORCID]
Djavad Saghafi M: Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, Iran [ORCID]
Sayyaadi H: Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran [ORCID]
Nastasi B: Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy [ORCID]
Sohani A: Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran [ORCID]
Djavad Saghafi M: Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, Iran [ORCID]
Sayyaadi H: Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran [ORCID]
Nastasi B: Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy [ORCID]
Journal Name
Energies
Volume
14
Issue
13
First Page
3962
Year
2021
Publication Date
2021-07-01
ISSN
1996-1073
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Original Submission
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PII: en14133962, Publication Type: Journal Article
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LAPSE:2023.33385
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https://doi.org/10.3390/en14133962
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