Optimization of Process Parameters of Ground Source Heat Pumps for Space Heating Applications with Taguchi Method

In this paper, optimization of the influence of the process parameters of ground source heat pump (GSHP) with the double U tube heat exchanger for space heating applications was performed. The coefficient of performance (COPsys) in GSHP system was investigated during experimental measurements with various process parameters; space air inlet/outlet temperatures (Ti,sa and To,sa) and soil inlet/outlet temperatures (Ti,wa and To,wa). Taguchi method performed for obtained the optimum process conditions on the COPsys in GSHP system. Taguchi experimental design considered as L16 orthogonal array. The most influence of process parameter on the COPsys in GSHP system was evaluated by using analysis of variance (ANOVA) and signal/noise (S/N) ratio. The optimum process parameter was determined as A4B1C1D1 for COPsys in GSHP with ANOVA analysis. The optimum levels were computed as Ti,sa at Level 1 (32 °C),  the To,sa at Level 2 (17°C), the Ti,wa at Level 2 (6°C) and and the To,wa at Level 1 (9°C). The most significant parameter on the COPsys for space heating applications of GSHP system were found as Ti,sa and To,sa with 48.4 %..

Optimization of Process Parameters of Ground Source Heat Pumps for Space Heating Applications with Taguchi Method

In this paper, optimization of the influence of the process parameters of ground source heat pump (GSHP) with the double U tube heat exchanger for space heating applications was performed. The coefficient of performance (COPsys) in GSHP system was investigated during experimental measurements with various process parameters; space air inlet/outlet temperatures (Ti,sa and To,sa) and soil inlet/outlet temperatures (Ti,wa and To,wa). Taguchi method performed for obtained the optimum process conditions on the COPsys in GSHP system. Taguchi experimental design considered as L16 orthogonal array. The most influence of process parameter on the COPsys in GSHP system was evaluated by using analysis of variance (ANOVA) and signal/noise (S/N) ratio. The optimum process parameter was determined as A4B1C1D1 for COPsys in GSHP with ANOVA analysis. The optimum levels were computed as Ti,sa at Level 1 (32 °C),  the To,sa at Level 2 (17°C), the Ti,wa at Level 2 (6°C) and and the To,wa at Level 1 (9°C). The most significant parameter on the COPsys for space heating applications of GSHP system were found as Ti,sa and To,sa with 48.4 %..

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  • [1] Ochsner K., Geothermal heat pumps: a guide for planning and installing., 1st ed. London, Earthscan Publications Ltd., (2007).
  • [2] Sarbu I., Sebarchievici C., Ground Source Heat Pumps, Fundementals, Experiments and applications, 1st Edition, eBook ISBN: 9780128042410, Academic Press, October (2015).
  • [3] Omer AM. Ground-source heat pumps systems and applications, Renewable Sustainable Energy Review, 12: 344-371, (2008).
  • [4] Sivasakthivel T, Murugesan K, Sahoo PK., Potential reduction in CO2 emission and saving in electricity by ground source heat pump system for space heating applications-A study on northern part of India, Procedia Engineering, 38: 970-979, (2012).
  • [5] Kim E, Lee J, Jeong Y, Hwang Y, Lee S, Park N., Performance evaluation under the actual operating condition of a vertical ground source heat pump system in a school building, Energy Build, 50: 1-6, (2012).
  • [6] Esen H., Turgut E., Optimization of operating parameters of a ground coupled heat pump system by Taguchi method, Energy and Building, 107: 329–334, (2015).
  • [7] Ramniwas K., Murugesan K., Sahoo P.K., Optimization of operating parameters of ground source heat pump using Taguchi method, in: 23rd IIRConference, Prague, Czech Republic, August 21–26, (2011).
  • [8] Pandey N., Murugesan K., Thomas H.R., Optimization of ground heat exchangers for space heating and cooling applications using Taguchi method and utility concept, Applied Energy 190: 421–438, (2017).
  • [9] Sivasakthivel T, Murugesan K, Thomas HR., Optimization of operating parameters of ground source heat pump system for space heating and cooling by Taguchi method and utility concept, Applied Energy, 116: 76-85, (2014).
  • [10] V. Verma, K. Murugesan, Optimization of solar assisted ground source heat pump system for space heating application by Taguchi method and utilityconcept, Energy and Building, 82: 296–309, (2014).
  • [11] Özdemir M. Br, Özkaya Musa Galip, Energy and Exergy Analyses of the Vertical Type Ground-Sourced Heat Pump for Ankara Conditions, Gazi University Journal of Polytechnic, 18(4): 269-280, (2015).
  • [12] Pingfang Hu, Qiushi Hu, Yaolin Lin, Wei Yang, Lu Xing,Energy and exergy analysis of a ground source heat pump system for a public building in Wuhan, China under different control strategies, Energy and Buildings, 152: 301-312, (2017).
  • [13] Lei Xia , Zhenjun Ma, Craig McLauchlan , Shugang Wang, Experimental investigation and control optimization of a ground source heat pump system, Applied Thermal Engineering, 127: 70-80, (2017).
  • [14] VikasVerma, K. Murugesan, Experimental study of solar assisted ground source heat pump system during space heating operation from morning to evening, Journal of Mechanical Science and Technology, 32(1):, 391-398, (2018),
  • [15] T. Sivasakthivel, Mikael Philippe , K. Murugesan , VikasVerma, Pingfang Hu, Experimental thermal performance analysis of ground heat exchangers for space heating and cooling applications, Renewable Energy, 113: 1168-1181, (2017).
  • [16] Bejan A., Advanced engineering thermodynamics. USA: John Wiley and Sons Inc.; (1988).
  • [17] Çengel A.Y., and Boles M. A., Thermodynamics: An Engineering Approach, New Media Version, 6th Edition, Mc Graw Hill, Inc., (2008).
  • [18] Holman JP. Experimental methods for engineers. 6th ed. Singapore: McGraw-Hill; (1994).
  • [19] S.J. Kline, F.A. McClintock, Describing uncertainties in single sample experiments, Mech. Eng. 75: 3–8, (1953).
  • [20] Taguchi G., ElSayed E. A., and Hsiang T. C., Quality Engineering in Production Systems, McGraw–Hill, New York, NY, USA, (1989).
  • [21] Ross P.J., Taguchi Techniques for Quality Engineering, 2nd ed., McGraw-Hill, New York, USA, (1996).
  • [22] Çakıroğlu R., Acır A., Optimization of cutting parameters on drill bit temperature in drilling by Taguchi method, Measurement, 46(9): 3525-3531, (2013).
  • [23] Yang W.H., and Tarng Y.S., Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology 84: 122–129, (1998).
  • [24] Acır A., Canlı M.E., Ata I., Çakıroğlu R., Parametric optimization of energy and exergy analyses of a novel solar air heater with grey relational analysis, Applied Thermal Engineering, 122: 330-338, (2017).
  • [25] Çakıroğlu, R., Acır A., Taguchi optimization method of tool chip interface temperature depending on the cutting parameters in drilling operations, Makine Teknolojileri Elektronik Dergisi 10(2): 73-86 (2013).
  • [26] Baysal E., Bilginsoy A.K., Acır A., Parametric optimization on exergy analysis of a thermal power plant using Taguchi Method, Energy Education Science and Technology Part A-Energy Science and Research, 29(2): 1313-1326, (2012).
  • [27] Zhang J. Z. et. al., Surface roughness optimization in an end-milling operation using the Taguchi design method, Journal of Materials Processing Technology, 184: 233-239, (2007).