The present research work focuses on the optimization of the ground heat exchanger of the Ground source heat pump system for heating application based on exergetic analysis using the Taguchi method. For this work, we select four influencing factors such as the mass flow rate of water (A), the specific heat of water (B), inlet temperature (C) of water to and outlet temperature of water (D) from the ground heat exchanger at three levels. An L9 orthogonal array was selected for experimental trials and in each trial, we calculate the exergy destruction for the ground heat exchanger, thereafter using statistical software Minitab, we get signal to noise ratios based on smaller is better criterion. After analyzing the response table of Taguchi results, we get the optimum level of all the factors. The ANOVA technique was also applied for getting the most significant factors which affect the output results by calculating the percentage contribution of each factor. According to our results, the best combination of all the four factors for exergetic destruction of the ground heat exchanger was A3B1C1D3 and the most influencing factor was inlet water temperature with a contribution factor of 56.03%.
OzyurtOEkinciDA.Experimental study of vertical ground-source heat pump performance evaluation for cold climate in Turkey. Appl Energy2011; 88: 1257–1265.
2.
WangHZhaoQWuJ, et al. Experimental investigation on the operation performance of a direct expansion ground source heat pump system for space heating. Energy Build2013; 61: 349–355.
3.
HealyPEUgursalVI.Performance and economic feasibility of ground source heat pumps in a cold climate. Int J Energy Res1997; 21: 857–870.
4.
AhmadSNPriyadarshiNKumarM, et al. Experimental investigation on ground source heat pump system. Interdisc Environ Rev2017; 18: 55–66.
5.
EsenHInalliMSengurA, et al. Modelling a ground-coupled heat pump system using adaptive neuro-fuzzy inference systems. Int J Refrig2008; 31: 65–74.
6.
EsenHInalliMSengurA, et al. Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system. Energy Build2008; 40: 1074–1083.
7.
EsenHInalliMSengurA, et al. Forecasting of a ground-coupled heat pump performance using neural networks with statistical data weighting preprocessing. Int J Therm Sci2008; 47: 431–441.
8.
EsenHInalliMSengurA, et al. Modeling a ground-coupled heat pump system by a support vector machine. Renew Energy2008; 33: 1814–1823.
9.
EsenHInalliMSengurA, et al. Performance prediction of a ground coupled heat pump system using artificial neural networks. Expert Syst Appl2008; 35: 1940–1948.
10.
EsenHInalliMSengurA, et al. Predicting performance of a ground-source heat pump system using fuzzy weighted pre-processing-based ANFIS. Build Environ2008; 43: 2178–2187.
11.
SanayeSNiroomandB.Thermal-economic modeling and optimization of vertical ground-coupled heat pump. Energy Convers Manage2009; 50: 1136–1147.
12.
KjellssonEHellstromGPerersB.Optimization of systems with the combination of ground-source heat pump and solar collectors in dwellings. Energy2010; 35: 2667–2673.
13.
KhalajzadehVHeidarinejaGSrebricJ.Parameters optimization of a vertical ground heat exchanger based on response surface methodology. Energy Build2011; 43: 1288–1294.
14.
ZhaiXQWangXLPeiHT, et al. Experimental investigation and optimization of a ground source heat pump system under different indoor set temperatures. Appl Therm Eng2012; 48: 105–116.
15.
SivasakthivelTMurugesanKThomasHR.Optimization of operating parameters of ground source heat pump system for space heating and cooling by Taguchi method and utility concept. Appl Energy2014; 116: 76–85.
16.
PandeyNMurugesanKThomasHR.Optimization of ground heat exchangers for space heating and cooling applications using Taguchi method and utility concept. Appl Energy2017; 190: 421–438.
17.
VermaVMurugesanK.Optimization of solar assisted ground source heat pump system for space heating application by Taguchi method and utility concept. Energy Build2014; 82: 296–309.
18.
MaZXiaL.Model-based optimization of ground source heat pump systems. Energy Procedia2017; 111: 12–20.
19.
NouriGNoorollahiYYousefiH.Designing and optimization of solar assisted ground source heat pump system to supply heating, cooling and hot water demands. Geothermics2019; 82: 212–231.
20.
AllyMRMunkJDBaxterVD, et al. Exergy analysis of a two-stage ground source heat pump with a vertical bore for residential space conditioning under simulated occupancy. Appl Energy2015; 155: 502–514.
21.
DikiciAAkbulutA.An exergetic performance evaluation of multiple source heat pump system. Energy Sourc Part A: Recov Utiliz Environ Effects2011; 33: 1117–1138.
22.
AhmadSNPrakashO.Experimental exergy assessment of ground source heat pump system. Adv Energy Res2019; 6: 161–172.
23.
KuzgunkayaEHHepbasliA.Exergetic performance assessment of a ground-source heat pump drying system. Int J Energy Res2007; 31: 760–777.
24.
NailiNHazamiMKooliS, et al. Energy and exergy analysis of horizontal ground heat exchanger for hot climatic condition of Northern Tunisia. Geothermics2015; 53: 270–280.
25.
OzgenerLHepbasliADincerI.Parametric study of the effect of reference state on energy and exergy efficiencies of geothermal district heating systems (GDHSs): an application of the Salihli GDHs in Turkey. Heat Transf Eng2007; 28: 357–364.
26.
OzturkM.Energy and exergy analysis of a combined ground source heat pump system. Appl Therm Eng2014; 73: 362–368.
27.
MenbergKHeoYChoiW, et al. Exergy analysis of a hybrid ground-source heat pump system. Appl Energy2017; 204: 31–46.
28.
ChahartaghiMKalamiMAhmadiMA, et al. Energy and exergy analyses and thermo-economic optimization of geothermal heat pump for domestic water heating. Int J Low-Carbon Technol2019; 14: 108–121.
29.
DincerIRatlamwalaTAH.Importance of exergy for analysis, improvement, design, and assessment. WENE2013; 2: 335–349.
