Adaptive neuro-fuzzy inference systems (ANFIS) application to investigate potential use of natural ventilation in new building designs in Turkey

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dc.contributor.authorAyata, Tahir
dc.contributor.authorCam, Ertugrul
dc.contributor.authorYildiz, Osman
dc.date.accessioned2020-06-25T17:43:48Z
dc.date.available2020-06-25T17:43:48Z
dc.date.issued2007
dc.descriptionCam, Ertugrul/0000-0001-6491-9225
dc.description.abstractNatural ventilation in living and working places provides both circulation of clear air and a decrease of indoor temperature, especially during hot summer days. In addition to openings, the dimension ratio and position of buildings play a significant role to obtain a uniform indoor air velocity distribution. In this study, the potential use of natural ventilation as a passive cooling system in new building designs in Kayseri, a midsize city in Turkey, was investigated. First, indoor air velocity distributions with respect to changing wind direction and magnitude were simulated by the FLUENT package program, which employs finite element methods. Then, an adaptive neuro-fuzzy inference systems (ANFIS) model was employed to predict indoor average and maximum air velocities using the simulated data by FLUENT. The simulation results suggest that natural ventilation can be used to provide a thermally comfortable indoor environment during the summer season in the study area. Also, the ANFIS model can be proposed for estimation of indoor air velocity values in such studies. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.enconman.2006.12.008
dc.identifier.endpage1479en_US
dc.identifier.issn0196-8904
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-33947238766
dc.identifier.scopusqualityQ1
dc.identifier.startpage1472en_US
dc.identifier.urihttps://doi.org10.1016/j.enconman.2006.12.008
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3906
dc.identifier.volume48en_US
dc.identifier.wosWOS:000245957800007
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEnergy Conversion And Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANFISen_US
dc.subjectnatural ventilationen_US
dc.subjectFLUENTen_US
dc.subjectthermal comforten_US
dc.subjectwind speeden_US
dc.subjectTurkeyen_US
dc.titleAdaptive neuro-fuzzy inference systems (ANFIS) application to investigate potential use of natural ventilation in new building designs in Turkeyen_US
dc.typeArticle

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