Modelling and experimental performance analysis of solar-assisted ground source heat pump system

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dc.contributor.authorEsen, Hikmet
dc.contributor.authorEsen, Mehmet
dc.contributor.authorOzsolak, Onur
dc.date.accessioned2026-08-12T17:16:41Z
dc.date.issued2017
dc.departmentFırat Üniversitesi
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.
dc.description.sponsorshipScientific Research Projects Administration Unit of Firat University [2009/1498]
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].
dc.identifier.doi10.1080/0952813X.2015.1056242
dc.identifier.endpage17
dc.identifier.issn0952-813X
dc.identifier.issn1362-3079
dc.identifier.issue1
dc.identifier.orcid0000-0001-8802-8080
dc.identifier.orcid0000-0001-6543-8095
dc.identifier.scopus2-s2.0-84941242268
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1080/0952813X.2015.1056242
dc.identifier.urihttps://hdl.handle.net/11508/52365
dc.identifier.volume29
dc.identifier.wosWOS:000392422400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of Experimental & Theoretical Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectSolar energy
dc.subjectground source heat pump
dc.subjectartificial neural network
dc.subjectadaptive neuro-fuzzy inference system
dc.titleModelling and experimental performance analysis of solar-assisted ground source heat pump system
dc.typeArticle

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