Energy-carbon emission nexus in a residential building using BIM under different climate conditions: an application of multi-objective optimization

dc.authorscopusid57203957296
dc.authorscopusid55756901000
dc.authorscopusid58754662100
dc.authorscopusid57220922265
dc.authorscopusid58754642300
dc.contributor.authorAlhamami,A.H.
dc.contributor.authorDodo,Y.A.
dc.contributor.authorNaibi,A.U.
dc.contributor.authorAlviz-Meza,A.
dc.contributor.authorMokhtarname,A.
dc.date.accessioned2024-05-25T12:18:16Z
dc.date.available2024-05-25T12:18:16Z
dc.date.issued2023
dc.departmentOkan Universityen_US
dc.department-tempAlhamami A.H., Civil Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia; Dodo Y.A., Architectural Engineering Department College of Engineering, Najran University, Najran, Saudi Arabia; Naibi A.U., Graduate School of Education, Department of Architecture (Doctorate-English) Okan Universitesi Istanbul, Istanbul, Turkey; Alviz-Meza A., Grupo de Investigación en Deterioro de Materiales, Transición Energética y Ciencia de datos DANT3, Facultad de Ingenieria y Urbanismo, Universidad Señor de Sipán, Chiclayo, Peru; Mokhtarname A., Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iranen_US
dc.description.abstractThis study was carried out to investigate the impact of building insulation, a method of reducing energy consumption, on the amount of energy consumed in a building, as well as its impact on cooling and heating loads and carbon emission. A residential structure was designed in Revit, and DesignBuilder determined the cooling and heating loads, as well as the energy consumption. Under three distinct climate conditions, the impact of the environment on the energy-carbon emission nexus of residential buildings was assessed. The cold mountain climate of Koick, Slovakia; the arid desert climate of Ha’il, Saudi Arabia; and the tropical monsoon climate of Borneo, Indonesia were chosen. During the design stage, the Particle Swarm Optimization (PSO) method was used to minimize the energy consumption cost (ECC) and CO2 emissions. Over the course of 24 h, the cooling and heating loads decreased by 2.51 kW and 1.9 kW, respectively. When the two modes in Ha’il were combined, the heating load was reduced to 850 kWh and the cooling load was reduced to 650 kWh, according to the results. In Borneo, the heating load was reduced by 200 kWh, while in Koick, it was reduced by 2,000 kWh. The cooling load was reduced by 550 and 50 kWh in Borneo and Koick, respectively. This system appears to perform better in arid and hot climates in terms of both heating and cooling loads. However, energy losses in the arid and hot climate (Ha’il) are greater than in other climates. This could be due to temperature and humidity differences between the inside and outside. According to the findings of the PSO evolutionary algorithm optimization, the building can be constructed to reduce ECC by 19% by taking into account input characteristics such as Wind-to-Wall Ratio (WWR), wall, glazes, and weather conditions. This research provides useful insights into the practical application of optimization methods for reducing CO2 emissions, paving the way for more sustainable and eco-conscious architectural practices. Copyright © 2023 Alhamami, Dodo, Naibi, Alviz-Meza and Mokhtarname.en_US
dc.description.sponsorshipNajran University, NU; Ministry of Education – Kingdom of Saudi Arabi, MOE, (NU/IFC/2/SERC/-/14)en_US
dc.identifier.citation2
dc.identifier.doi10.3389/fenrg.2023.1326967
dc.identifier.issn2296-598X
dc.identifier.scopus2-s2.0-85179183252
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.3389/fenrg.2023.1326967
dc.identifier.urihttps://hdl.handle.net/20.500.14517/1681
dc.identifier.volume11en_US
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.publisherFrontiers Media SAen_US
dc.relation.ispartofFrontiers in Energy Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectbuilding information modellingen_US
dc.subjectcooling and heating loadsen_US
dc.subjectenergy consumption costen_US
dc.subjectenergy-carbon emission nexusen_US
dc.subjectoptimizationen_US
dc.titleEnergy-carbon emission nexus in a residential building using BIM under different climate conditions: an application of multi-objective optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication

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