Publication:
Multi-objective optimization of building design parameters for cost reduction and CO 2 emission control using four different algorithms

dc.contributor.authorCanbolat, Ahmet Serhan
dc.contributor.authorAlbak, Emre İsa
dc.contributor.buuauthorCANBOLAT, AHMET SERHAN
dc.contributor.buuauthorALBAK, EMRE İSA
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentMakine Mühendisliği Bölümü
dc.contributor.departmentOtomotiv Mühendisliği Bölümü
dc.contributor.orcid0000-0001-9215-0775
dc.contributor.orcid0000-0002-0423-6411
dc.contributor.researcheridHPH-3328-2023
dc.contributor.researcheridI-9483-2017
dc.date.accessioned2025-01-28T05:21:33Z
dc.date.available2025-01-28T05:21:33Z
dc.date.issued2024-09-01
dc.description.abstractThermal insulation applications on the exterior facades of buildings have been the subject of numerous studies from the past to the present. Some of these studies focus on the cost reduction effect of insulation, while others emphasize its ecological benefits. In this study, multi-objective optimization, the objectives of which are minimum cost and minimum CO2 emission, has been carried out with the NSGA-II method. In emission calculations, in addition to fuel-related emissions, the carbon footprint of all materials comprising the wall has also been included. The multi-objective optimization study examined four design variables: wall thickness, wall material (light concrete, reinforced concrete, and brick), insulation material (expanded polystyrene, extruded polystyrene, mineral wool, and polyurethane foam), and heating source (natural gas, electricity, fuel oil). Analyses have been carried out for four cities (Osmaniye, Bursa, Isparta, and Erzurum), which are located in different climatic regions, and considering solar radiation effects. An existing building has been taken as the base case scenario, and the study has determined the improvements in the total cost and the amount of CO2 released into the environment when the appropriate insulation material, insulation thickness, wall material, and heating source identified in the multi-objective optimization study have been used. At the cost-oriented optimum point in the study, the most suitable insulation material was found to be expanded polystyrene, the most suitable wall material was brick, and the most suitable heating source was natural gas. In the CO2-oriented optimum, in contrast to the cost-oriented approach, optimal results have been obtained when light concrete was selected as the wall material.
dc.identifier.doi10.3390/app14177668
dc.identifier.eissn2076-3417
dc.identifier.issue17
dc.identifier.scopus2-s2.0-85203659329
dc.identifier.urihttps://doi.org/10.3390/app14177668
dc.identifier.urihttps://www.mdpi.com/2076-3417/14/17/7668
dc.identifier.urihttps://hdl.handle.net/11452/49848
dc.identifier.volume14
dc.identifier.wos001311118800001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherMDPI
dc.relation.journalApplied Sciences-basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectOptimum insulation thicknesses
dc.subjectThermal insulation
dc.subjectExternal walls
dc.subjectEnergy
dc.subjectPerformance
dc.subjectCrashworthiness
dc.subjectRespect
dc.subjectMulti-objective optimization
dc.subjectNsga-ii method
dc.subjectCo2 emission
dc.subjectSolar radiation
dc.subjectThermal insulation application
dc.subjectScience & technology
dc.subjectPhysical sciences
dc.subjectTechnology
dc.subjectChemistry, multidisciplinary
dc.subjectEngineering, multidisciplinary
dc.subjectMaterials science, multidisciplinary
dc.subjectPhysics, applied
dc.subjectChemistry
dc.subjectEngineering
dc.subjectMaterials science
dc.subjectPhysics
dc.titleMulti-objective optimization of building design parameters for cost reduction and CO 2 emission control using four different algorithms
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Makine Mühendisliği Bölümü
local.contributor.departmentMühendislik Fakültesi/Otomotiv Mühendisliği Bölümü
local.indexed.atWOS
local.indexed.atScopus
relation.isAuthorOfPublication141ef710-f81e-4eef-8f2a-720d18a92185
relation.isAuthorOfPublicationd966c82c-3610-4ddf-9d0a-af656d61472a
relation.isAuthorOfPublication.latestForDiscovery141ef710-f81e-4eef-8f2a-720d18a92185

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Canbolat_Albak_2024.pdf
Size:
4 MB
Format:
Adobe Portable Document Format