Reversible heat pump model for seasonal performance optimization

2010 ◽  
Vol 42 (12) ◽  
pp. 2269-2280 ◽  
Author(s):  
Elias Kinab ◽  
Dominique Marchio ◽  
Philippe Rivière ◽  
Assaad Zoughaib
1983 ◽  
Vol 105 (4) ◽  
pp. 446-453 ◽  
Author(s):  
D. J. Roeder ◽  
R. L. Reid

The series solar-assisted heat pump heating system with ground-coupled storage in The University of Tennessee’s TECH House I in Knoxville, Tennessee, has been modeled using TRNSYS/GROCS and was compared to the experimental performance for the 1980–81 heating season. The simulation results were within 8 percent of the experimental measurements. Both simulation and experimental results showed that ground coupling of thermal storage led to the elimination of electric resistance backup heat and a large reduction in the peak heating demand of the house. Results of a parametric study showed that, in general, a ground-coupled storage tank performs better than a storage tank placed outdoors in the Knoxville area. Application of a next generation heat pump resulted in the most significant impact on the seasonal performance factor. As expected, higher performance collectors and larger collector areas led to higher system seasonal performance. An economic analysis showed that the series solar heat pump system cannot economically compete with the stand-alone heat pump system in the Knoxville area.


2014 ◽  
Vol 42 ◽  
pp. 57-68 ◽  
Author(s):  
Hae Won Jung ◽  
Hoon Kang ◽  
Hyunjoon Chung ◽  
Jae Hwan Ahn ◽  
Yongchan Kim

1986 ◽  
Vol 108 (3) ◽  
pp. 185-191 ◽  
Author(s):  
F. Conlin ◽  
W. S. Johnson ◽  
S. Wix

The ground-coupled heat pump system in TECH House I at the University of Tennessee has been modelled using TRNSYS/GROCS and the results have been compared with actual performance data for both the 1982–83 heating season and the 1983 cooling season. Hourly measurements of various ground temperatures, conditioned space temperatures, power requirements and heat transferred to or from the ground and the conditioned space were made. Results indicate that the model prediction is within 5 percent of the measured seasonal performance factor for both the summer and winter season. Parametric studies were undertaken to examine the effect of ground coil length, soil thermal conductivity, and the heat pump performance rating on the overall seasonal performance of the system. Overall performance is shown to increase with improved performance and increased soil thermal conductivity while the coil length shows an optimum value due to the increase of pumping power with length.


2014 ◽  
Vol 48 ◽  
pp. 689-700 ◽  
Author(s):  
Christian Winteler ◽  
Ralf Dott ◽  
Thomas Afjei ◽  
Bernd Hafner

Sign in / Sign up

Export Citation Format

Share Document