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Modeling a ground-coupled heat pump system by a support vector machine

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  • Esen, Hikmet
  • Inalli, Mustafa
  • Sengur, Abdulkadir
  • Esen, Mehmet

Abstract

This paper reports on a modeling study of ground coupled heat pump (GCHP) system performance (COP) by using a support vector machine (SVM) method. A GCHP system is a multi-variable system that is hard to model by conventional methods. As regards the SVM, it has a superior capability for generalization, and this capability is independent of the dimensionality of the input data. In this study, a SVM based method was intended to adopt GCHP system for efficient modeling. The Lin-kernel SVM method was quite efficient in modeling purposes and did not require a pre-knowledge about the system. The performance of the proposed methodology was evaluated by using several statistical validation parameters. It is found that the root-mean squared (RMS) value is 0.002722, the coefficient of multiple determinations (R2) value is 0.999999, coefficient of variation (cov) value is 0.077295, and mean error function (MEF) value is 0.507437 for the proposed Lin-kernel SVM method. The optimum parameters of the SVM method were determined by using a greedy search algorithm. This search algorithm was effective for obtaining the optimum parameters.

Suggested Citation

  • Esen, Hikmet & Inalli, Mustafa & Sengur, Abdulkadir & Esen, Mehmet, 2008. "Modeling a ground-coupled heat pump system by a support vector machine," Renewable Energy, Elsevier, vol. 33(8), pages 1814-1823.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:8:p:1814-1823
    DOI: 10.1016/j.renene.2007.09.025
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    13. Soni, Suresh Kumar & Pandey, Mukesh & Bartaria, Vishvendra Nath, 2016. "Hybrid ground coupled heat exchanger systems for space heating/cooling applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 724-738.
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    15. Hou, Gaoyang & Taherian, Hessam & Song, Ying & Jiang, Wei & Chen, Diyi, 2022. "A systematic review on optimal analysis of horizontal heat exchangers in ground source heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    16. Aira, Roberto & Fernández-Seara, José & Diz, Rubén & Pardiñas, Ángel Á., 2017. "Experimental analysis of a ground source heat pump in a residential installation after two years in operation," Renewable Energy, Elsevier, vol. 114(PB), pages 1214-1223.
    17. Xiao, Ling & Wang, Jianzhou & Dong, Yao & Wu, Jie, 2015. "Combined forecasting models for wind energy forecasting: A case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 271-288.
    18. Sivasakthivel, T. & Murugesan, K. & Sahoo, P.K., 2014. "Optimization of ground heat exchanger parameters of ground source heat pump system for space heating applications," Energy, Elsevier, vol. 78(C), pages 573-586.
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    21. Sebarchievici, Calin & Sarbu, Ioan, 2015. "Performance of an experimental ground-coupled heat pump system for heating, cooling and domestic hot-water operation," Renewable Energy, Elsevier, vol. 76(C), pages 148-159.
    22. Taghavifar, Hamid & Mardani, Aref, 2014. "A comparative trend in forecasting ability of artificial neural networks and regressive support vector machine methodologies for energy dissipation modeling of off-road vehicles," Energy, Elsevier, vol. 66(C), pages 569-576.
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