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http://hdl.handle.net/11452/30182
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DC Field | Value | Language |
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dc.date.accessioned | 2022-12-30T08:23:55Z | - |
dc.date.available | 2022-12-30T08:23:55Z | - |
dc.date.issued | 2017-11 | - |
dc.identifier.citation | Arslanoğlu, N. ve Yiğit, A. (2017). ''Investigation of efficient parameters on optimum insulation thickness based on theoretical-Taguchi combined method''. Environmental Progress and Sustainable Energy, 36(6), 1824-1831. | en_US |
dc.identifier.issn | https://aiche.onlinelibrary.wiley.com/doi/10.1002/ep.12628 | - |
dc.identifier.issn | 1944-7442 | - |
dc.identifier.uri | https://doi.org/10.1002/ep.12628 | - |
dc.identifier.uri | 1944-7450 | - |
dc.identifier.uri | http://hdl.handle.net/11452/30182 | - |
dc.description.abstract | Thermal insulation of buildings is one of the most effective energy conservation methods. However, most of the building walls still have little or no insulation despite Turkish Thermal Insulation Standard in Turkey. Four provinces from different climate zones, obtained by the Turkish Thermal Insulation Standard; Izmir (1st zone), Istanbul (2nd zone), Ankara (3rd zone), and Erzurum (4th zone) were selected for analysis. The aim of this study is to investigate of efficient parameters on optimum insulation thickness (OIT) in terms of the order of importance using theoretical-Taguchi coupled method. The OIT was considered as performance parameter. An L16 (4(3)*2(2)) orthogonal array was chosen as a design plan for the five parameters (wall, insulation, fuel type, heating degree-day (HDD) and lifetime). The results were analyzed using signal-to-noise (S/N) ratio and analysis of variance method. Furthermore, contribution ratios for each parameter on OIT. HDD value is the most effective parameter on the OIT with a contribution ratio of 34.53% percentage of the total effect. The second most effective parameter is insulation type with a contribution ratio of 30.6%, and the effect of fuel type on the OIT is contribution ratio of 24.18% and it is followed by lifetime (8.2%), wall type (0.67%), respectively. Consequently, daily mean temperature of cities is most important parameter on OIT. Insulation and fuel type effect is less than HDD, the impact of fuel type is close the impact of insulation type, and the effect of wall type is less than the other parameters. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Wiley | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Science & technology - other topics | en_US |
dc.subject | Engineering | en_US |
dc.subject | Environmental sciences & ecology | en_US |
dc.subject | ANOVA | en_US |
dc.subject | Heating degree-day | en_US |
dc.subject | Optimum insulation thickness | en_US |
dc.subject | Taguchi | en_US |
dc.subject | Building walls | en_US |
dc.subject | External walls | en_US |
dc.subject | Climate zones | en_US |
dc.subject | Thermal performance | en_US |
dc.subject | Optimal-design | en_US |
dc.subject | Optimizatio | en_US |
dc.subject | Nenergy | en_US |
dc.subject | Respect | en_US |
dc.subject | Radiation | en_US |
dc.subject | Fuels | en_US |
dc.subject | Analysis of variance (ANOVA) | en_US |
dc.subject | Fuels | en_US |
dc.subject | Historic preservation | en_US |
dc.subject | Insulation | en_US |
dc.subject | Signal to noise ratio | en_US |
dc.subject | Taguchi methods | en_US |
dc.subject | Walls (structural partitions) | en_US |
dc.subject | Analysis of variance method | en_US |
dc.subject | Contribution ratios | en_US |
dc.subject | Effective parameters | en_US |
dc.subject | Heating degree-days | en_US |
dc.subject | Mean temperature | en_US |
dc.subject | Optimum insulation thickness | en_US |
dc.subject | Performance parameters | en_US |
dc.subject | Signal to noise (S/N) ratios | en_US |
dc.subject | Thermal insulation | en_US |
dc.title | Investigation of efficient parameters on optimum insulation thickness based on theoretical-Taguchi combined method | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000415930200029 | tr_TR |
dc.identifier.scopus | 2-s2.0-85017552950 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0003-4970-4490 | tr_TR |
dc.identifier.startpage | 1824 | tr_TR |
dc.identifier.endpage | 1831 | tr_TR |
dc.identifier.volume | 36 | tr_TR |
dc.identifier.issue | 6 | tr_TR |
dc.relation.journal | Environmental Progress and Sustainable Energy | en_US |
dc.contributor.buuauthor | Arslanoğlu, Nurullah | - |
dc.contributor.buuauthor | Yiğit, Abdulvahap | - |
dc.subject.wos | Green & sustainable science & technology | en_US |
dc.subject.wos | Engineering, environmental | en_US |
dc.subject.wos | Engineering, chemical | en_US |
dc.subject.wos | Environmental sciences | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.wos.quartile | Q3 | en_US |
dc.wos.quartile | Q4 | en_US |
dc.contributor.scopusid | 54956660200 | tr_TR |
dc.contributor.scopusid | 7006225124 | tr_TR |
dc.subject.scopus | Walls (Structural Partitions); Hot Temperature; Insulation | en_US |
Appears in Collections: | Scopus Web of Science |
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