Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Refrigerant amount detection algorithm for a ground source heat pump unit

Authors
Choi, H.Cho, H.Choi, J.M.
Issue Date
2012
Keywords
Ground source heat pump unit; Ground-loop heat exchanger; Refrigerant amount detection; Refrigerant charge; Subcooling; Superheat
Citation
Renewable Energy, v.42, pp.111 - 117
Indexed
SCIE
SCOPUS
Journal Title
Renewable Energy
Volume
42
Start Page
111
End Page
117
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/110667
DOI
10.1016/j.renene.2011.08.055
ISSN
0960-1481
Abstract
To make an energy efficient GSHP system, the heat pump unit should have high efficiency and be optimized well with other parts such as ground heat exchangers and pumps. The amount of refrigerant charge in the heat pump unit is one of the primary parameters influencing system performance. In the present study, the effects of off-design charge on the performance of a ground source heat pump unit are investigated by varying refrigerant charge amount, and the algorithm to predict refrigerant charge amount in the heat pump unit was developed. Undercharge or overcharge of refrigerant into the ground source heat pump unit degraded performance and deteriorated system reliability. Refrigerant flow control by an EEV compensated for refrigerant undercharge or overcharge fault. However, refrigerant charge amount should be detected to optimize the heat pump unit performance. In the first step to develop the algorithm of refrigerant amount detection, the subcooling and superheat at the adjusted EEV conditions are determined as recommended parameters, because they are not sensitive to the EWT of the OD HX. Finally, the subcooling is selected as a fault detection and diagnosis parameter about the refrigerant charge amount in the second screening analysis, because it is properly sensitive to charge amount. The algorithm to predict the refrigerant amount detection in the ground source heat pump unit was developed based on the test data and analysis. The refrigerant amount detection algorithm gave relatively good predictions within a relative deviation of 8.0%. © 2011 Elsevier Ltd.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher CHOI, HANG SEOK photo

CHOI, HANG SEOK
공과대학 (건축사회환경공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE