Empirical modeling between degree days and optimum insulation thickness for external wall

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dc.authorid0000-0001-9242-6233en_US
dc.contributor.authorKarakaya, Hakan
dc.contributor.authorKallioğlu, Mehmet Ali
dc.contributor.authorErcan, Umut
dc.contributor.authorAvcı, Ali Serkan
dc.contributor.authorFidan, Cihat
dc.date.accessioned2021-11-10T06:50:18Z
dc.date.available2021-11-10T06:50:18Z
dc.date.issued2020-03en_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Makine Mühendisliği Bölümüen_US
dc.description.abstractInsulating is the most effective method that is used to save energy in buildings. Samples from cities from different climatic zones from TS 825 (Turkey) first. Optimum insulation thickness () analysis is based on two types of insulating and four different fuels (natural gas, coal, fuel oil and electric) of related cities. Cost accounts, payback period and CO2-SO2 emission calculations were performed based on these analyses. Second of all, the relationship between a number of degree day (NDD) and optimum insulation thickness () was developed by linear, quadratic and cubic correlations. Thirty different mathematical correlations based on different fuel types by using XPS and EPS insulating materials. Twenty-four of these models that were developed were generated peculiar to the fuel type; six of them were generated based on average insulation thickness. R2 values of related correlations are between 0.9989 most and 0.9952 at least as well as it is pretty close to (R ≤ 1) one value. The model among these models is the cubic mathematical model that gives the best average value. a = 0.0036, b = 5E-05, c = – 7E-09 and d = 6E-13 are the values for XPS material. Following values are for EPS material; a = 0.0028, b = 5E-13, c = – 7E-09 and d = 4E-05. R2 determination coefficient of both two equations is pretty close to 0.9989 and 1; the models obtained are less-than-stellar. Optimum insulation thickness of the area can be known based on the type of material via the number of degree day without the need for long analyses. According to the R2 values, the use of all models is recommended for academic and industrial users.en_US
dc.identifier.citationKarakaya, H., Kallioğlu, M.A., Ercan, U., Avcı, A.S., Fidan, C. (2020). Empirical modeling between degree days and optimum insulation thickness for external wall. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 42 (11), pp.1314-1334. DOI:https://doi.org/10.1080/15567036.2019.1651797en_US
dc.identifier.endpage1334en_US
dc.identifier.issn1556-7036
dc.identifier.issue11en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1314en_US
dc.identifier.urihttps://doi.org/10.1080/15567036.2019.1651797
dc.identifier.urihttps://hdl.handle.net/20.500.12402/3917
dc.identifier.volume42en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/15567036.2019.1651797en_US
dc.relation.journalEnergy Sources, Part A: Recovery, Utilization, and Environmental Effectsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectInsulationen_US
dc.subjectEnvironmental Analysisen_US
dc.subjectEnergy-Savingen_US
dc.subjectPayback Perioden_US
dc.subjectClimate Zonesen_US
dc.titleEmpirical modeling between degree days and optimum insulation thickness for external wallen_US
dc.title.alternativeDış duvar için derece günleri ve optimum yalıtım kalınlığı arasındaki ampirik modellemeen_US
dc.typeArticleen_US

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