Tomorrow’s Green Buildings: Optimum Natural Insulation Material Modeling

dc.contributor.authorSua, Lutfu S.
dc.contributor.authorBalo, Figen
dc.contributor.authorUcar, Ukbe
dc.date.accessioned2026-08-12T16:14:02Z
dc.date.issued2020
dc.departmentFırat Üniversitesi
dc.description.abstractThe structures renovation’s economical impact generally relies on the devices and energy-saving methods’ application. By wall insulation, great economical impact is accomplished. In this regard, it is even greater than changing the windows. The wall insulation option resolutions of structures vary in the materials utilized, labor force spending, and other ways. The renovation’s cost based on the resolutions applied. The criteria describing the existing wall isolation options may have diverse values. Additionally, they may differ in diverse instructions, i.e., a greater value of some criteria represents a preferable situation, while for others they signify a worse state. By means of multicriteria assessment methodologies, a reconciliation variable is needed, which can be obtained in this environment. To decrease the impact of diverse methodologies on computational conclusions, it can be proposed to evaluate the phenomenon (or object) thought by a few diverse methodologies, with the detection of the average forecast value. Thus, the several special multicriteria assessment methodologies’ disadvantages could be replaced by the others’ benefits. In recent years, thermal insulation materials’ many styles are present in the market. The calculations made in this study by AHP multicriteria assessment methodology allowed us to determine the most effective insulation material option out of ten used alternatives commercial insulation materials. In the second stage, the most assessable natural alternative insulation material among ten different uncommercial-natural insulation materials is analyzed with the same methodology. © 2020, Springer Nature Switzerland AG.
dc.identifier.doi10.1007/978-3-030-27676-8_6
dc.identifier.endpage124
dc.identifier.issn1865-3529
dc.identifier.scopus2-s2.0-85073515988
dc.identifier.scopusqualityQ3
dc.identifier.startpage109
dc.identifier.urihttps://doi.org/10.1007/978-3-030-27676-8_6
dc.identifier.urihttps://hdl.handle.net/11508/43348
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Verlag
dc.relation.ispartofGreen Energy and Technology
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectGreen building; Green insulation; Mathematical modeling; Natural insulation material
dc.titleTomorrow’s Green Buildings: Optimum Natural Insulation Material Modeling
dc.typeBook Chapter

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