IIR document
A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information.
Author(s) : HONG S. B., YOO J. W., KIM M. S.
Type of article: Article, IJR article
Summary
The performance of the heat pump system varies greatly depending on the refrigerant charge amount. However, the refrigerant in the system slowly leaks during operation. Therefore, in order to guarantee system performance and life span, it is important to predict the charge amount in real time and recharge the shortage. Nevertheless, since the configuration and control of the heat pump system becomes more complicated, it is very difficult to predict the refrigerant charge amount. Various previous studies have been carried out to predict refrigerant charge amount, but most of them are empirical methods or theo- retical, but require much experimental data for high accuracy. In this paper, a refrigerant charge amount prediction method which requires only a few experimental data for high prediction accuracy is proposed through theoretical analysis of the refrigerant charge. The proposed method was verified by experiments, and the root mean square error was 3.7% in cooling mode and 8.2% in heating mode.
Available documents
Format PDF
Pages: 335-343
Available
Public price
20 €
Member price*
Free
* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).
Details
- Original title: A theoretical refrigerant charge prediction equation for air source heat pump system based on sensor information.
- Record ID : 30026642
- Languages: English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 104
- Publication date: 2019/08
- DOI: http://dx.doi.org/10.1016/j.ijrefrig.2019.05.031
Links
See other articles in this issue (50)
See the source
-
Good vibes for heat pumps: Towards refrigerant ...
- Author(s) : KLEBIG T., HUMMEL L., OSTMANN P., KLINGEBIEL J., VERING C., MÜLLER D.
- Date : 2024/08
- Languages : English
- Source: 16th IIR-Gustav Lorentzen Conference on Natural Refrigerants (GL2024). Proceedings. University of Maryland, College Park, Maryland, USA, August 11-14 2024
- Formats : PDF
View record
-
A smart early detection system for gas leaks in...
- Author(s) : ALBETS-CHICO X., MORENO P., PALOMINO X., et al.
- Date : 2019/08/24
- Languages : English
- Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
- Formats : PDF
View record
-
Deep learning-based refrigerant charge fault de...
- Author(s) : EOM Y. H., HONG S. B., YOO J. W., KIM M. S.
- Date : 2021/08/31
- Languages : English
- Source: 13th IEA Heat Pump Conference 2021: Heat Pumps – Mission for the Green World. Conference proceedings [full papers]
- Formats : PDF
View record
-
Comparison between different refrigerant charge...
- Author(s) : D'IGNAZI C., BONGIORNO C., MOLINAROLI L.
- Date : 2023/08/21
- Languages : English
- Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
- Formats : PDF
View record
-
Theoretical analysis of the impacts of refriger...
- Author(s) : CHEN G., FANG J., LI Z., ZHANG S.
- Date : 2023/03
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 147
- Formats : PDF
View record