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

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 solu...

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Main Authors: Seyedeh Farzaneh Mousavi Motlagh, Ali Sohani, Mohammad Djavad Saghafi, Hoseyn Sayyaadi, Benedetto Nastasi
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/13/3962
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author Seyedeh Farzaneh Mousavi Motlagh
Ali Sohani
Mohammad Djavad Saghafi
Hoseyn Sayyaadi
Benedetto Nastasi
author_facet Seyedeh Farzaneh Mousavi Motlagh
Ali Sohani
Mohammad Djavad Saghafi
Hoseyn Sayyaadi
Benedetto Nastasi
author_sort Seyedeh Farzaneh Mousavi Motlagh
collection DOAJ
description 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<sub>2</sub> equivalent emission and 28% higher thermal comfort.
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spelling doaj.art-8f5c1a7f3655475dae3e07cd26401dd02023-11-22T02:37:49ZengMDPI AGEnergies1996-10732021-07-011413396210.3390/en14133962Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a BuildingSeyedeh Farzaneh Mousavi Motlagh0Ali Sohani1Mohammad Djavad Saghafi2Hoseyn Sayyaadi3Benedetto Nastasi4Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, IranLab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, IranDepartment of Architecture, Architecture School, College of Fine Arts, University of Tehran, Tehran 1415 564583, IranLab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, IranDepartment of Planning, Design and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, ItalyThe 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<sub>2</sub> equivalent emission and 28% higher thermal comfort.https://www.mdpi.com/1996-1073/14/13/3962building performance simulationCO<sub>2</sub> emissionenergy savingoccupant’s comfortwindow allocation
spellingShingle Seyedeh Farzaneh Mousavi Motlagh
Ali Sohani
Mohammad Djavad Saghafi
Hoseyn Sayyaadi
Benedetto Nastasi
Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
Energies
building performance simulation
CO<sub>2</sub> emission
energy saving
occupant’s comfort
window allocation
title Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
title_full Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
title_fullStr Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
title_full_unstemmed Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
title_short Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building
title_sort acquiring the foremost window allocation strategy to achieve the best trade off among energy environmental and comfort criteria in a building
topic building performance simulation
CO<sub>2</sub> emission
energy saving
occupant’s comfort
window allocation
url https://www.mdpi.com/1996-1073/14/13/3962
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