| dc.description.abstract | In order to obtain a high performance and low cost of ground source heat pump (GSHP) system, a methodology based on Taguchi method and analysis of variance (ANOVA) is used to optimize design parameters of GSHP systems. Eight parameters of GSHP system are selected as control factors to investigate effect on the system. Energy efficiency ratio (EER), coefficient of performance (COP), net annual value (NAV) and the average temperature rise (TEM) in soil of GSHP system are chosen as response factors to evaluate the system performance. A GSHP system model software is established by TRNSYS to calculate the EER, COP, NAV and TEM for 36 times repeatedly according to the L36 (22, 63) mixed level Taguchi orthogonal array. The result showed that the design outlet temperature of heat pump unit is the most important parameter for EER and COP, of which the contribution of significance are 41.88% and 88.12% respectively. While the number of U-Tubes per borehole has the major contribution (84.64%) for NAV and borehole spacing contribute most (45.42%) to TEM. The optimum EER, COP, NAV and TEM for the system with the optimized parameters combination are found to be 3.9355, 3.0339, CNY 106445 yuan and 2.362 ℃ respectively, which have been validated by confirmatory experiment. The utility concept has been used in this paper to find the optimum parameters combination with comprehensive consideration of all response factors (EER, COP, NAV and TEM) and the optimum combination we can get is A2 B1 C3 D1 E1 F3 G1 H3 with the response factors of 3.873, 3.023, 107212 yuan and 2.774 ℃ for EER, COP, NAV and TEM respectively. | |
