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Esen, Hikmet; Esen, Mehmet; Ozsolak, Onur
Journal of experimental & theoretical artificial intelligence, 01/2017, Letnik: 29, Številka: 1Journal Article
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 (COP sys ) and the heat pump coefficient of performance (COP hp ) have been calculated as 2.88 and 3.55, respectively, at horizontal slinky-type GHE, while COP sys and COP hp 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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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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