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Cited by 444

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

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

Esen, Hikmet, Esen, Mehmet, Ozsolak, Onur·2017·Journal of Experimental & Theoretical Artificial Intelligence

Abstract

In 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.

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Metadata

Authors
Esen, H., Esen, M., & Ozsolak, O.
Venue
Journal of Experimental & Theoretical Artificial Intelligence
Published
2015-09-07
Volume
29
Issue
1
Pages
1-17
ISSN
  • 0952-813X (ISSN-L)
  • 1362-3079
OpenAlex
W2266544353
Cited by
444
References
11
FWCI
9.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modelling and experimental performance analysis of solar-assisted ground source heat pump system. https://app.cochat.ai/papers/10.1080/0952813x.2015.1056242
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Esen, H., Esen, M., & Ozsolak, O. (2017). Modelling and experimental performance analysis of solar-assisted ground source heat pump system. Journal of Experimental & Theoretical Artificial Intelligence. https://doi.org/10.1080/0952813x.2015.1056242

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