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dc.contributor.authorEsen, Hikmet
dc.contributor.authorEsen, Mehmet
dc.contributor.authorOzsolak, Onur
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:44:03Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:44:03Z
dc.date.issued2017
dc.identifier.issn0952-813X
dc.identifier.issn1362-3079
dc.identifier.urihttps://dx.doi.org/10.1080/0952813X.2015.1056242
dc.identifier.urihttps://hdl.handle.net/20.500.12418/6885
dc.descriptionWOS: 000392422400001en_US
dc.description.abstractIn this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral loop of flexible plastic pipe)type ground heat exchanger (GHE) was established for a solar-assisted ground source heat pump system. System modelling is performed with the data obtained from the experiment. Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used in modelling. The slinky pipes have been laid horizontally and vertically in a ditch. The system coefficient of performance (COPsys) and the heat pump coefficient of performance (COPhp) have been calculated as 2.88 and 3.55, respectively, at horizontal slinky-type GHE, while COPsys and COPhp were calculated as 2.34 and 2.91, respectively, at vertical slinky-type GHE. The obtained results showed that the ANFIS is more successful than that of ANN for forecasting performance of a solar ground source heat pump system.en_US
dc.description.sponsorshipScientific Research Projects Administration Unit of Firat University [2009/1498]en_US
dc.description.sponsorshipThe authors gratefully acknowledge the financial support from the Scientific Research Projects Administration Unit of Firat University for this study performed under the project with [grant number 2009/1498].en_US
dc.language.isoengen_US
dc.publisherTAYLOR & FRANCIS LTDen_US
dc.relation.isversionof10.1080/0952813X.2015.1056242en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSolar energyen_US
dc.subjectground source heat pumpen_US
dc.subjectartificial neural networken_US
dc.subjectadaptive neuro-fuzzy inference systemen_US
dc.titleModelling and experimental performance analysis of solar-assisted ground source heat pump systemen_US
dc.typearticleen_US
dc.relation.journalJOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCEen_US
dc.contributor.department[Esen, Hikmet -- Esen, Mehmet] Firat Univ, Fac Technol, Dept Energy Syst Engn, Elazig, Turkey -- [Ozsolak, Onur] Cumhuriyet Univ, Fac Technol, Dept Mfg Engn, Sivas, Turkeyen_US
dc.contributor.authorIDESEN, Mehmet -- 0000-0001-6543-8095; Esen, Hikmet -- 0000-0001-8802-8080en_US
dc.identifier.volume29en_US
dc.identifier.issue1en_US
dc.identifier.endpage17en_US
dc.identifier.startpage1en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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