A method for tuning refrigerant charge in modelling off-design performance of unitary equipment (RP-1173).
Author(s) : SHEN B., BRAUN J. E., GROLL E. A.
Type of article: Article
Summary
Existing models do not accurately predict the effect of off-design refrigerant charge even when tuned at the design operating condition. Based on experimental testing and theoretical analyses, multiple factors that cause inaccuracies in charge prediction are identified in this paper. The factors include unaccounted liquid volumes, refrigerant dissolved in the compressor lubricant, inaccurate void fraction models, and an inaccurate estimate of the subcooled liquid length. Some of these factors lead to errors that change with operating conditions and amount of charge. The paper presents a method for adjusting refrigerant charge using a charge correction equation that requires data for two operating points for parameter tuning.
Details
- Original title: A method for tuning refrigerant charge in modelling off-design performance of unitary equipment (RP-1173).
- Record ID : 2006-2583
- Languages: English
- Source: HVAC&R Research - vol. 12 - n. 3
- Publication date: 2006/07
Links
See other articles in this issue (5)
See the source
-
The right refrigerant charge. Diagnostic troubl...
- Author(s) : CAPOZZI R.
- Date : 2008/02
- Languages : English
- Source: Refrig. World - n. 1
View record
-
A VRF charge fault diagnosis method based on ex...
- Author(s) : YU F., LI G., CHEN H., et al.
- Date : 2018/08
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 92
- Formats : PDF
View record
-
A hybrid deep forest approach for outlier detec...
- Author(s) : ZENG Y., CHEN H., XU C., CHENG Y., GONG Q.
- Date : 2020/12
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 120
- Formats : PDF
View record
-
The effect of void fraction model on estimation...
- Author(s) : FARZAD M., O'NEAL D. L.
- Date : 1994/02
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 17 - n. 2
- Formats : PDF
View record
-
Machine learning based diagnosis strategy for r...
- Author(s) : LI Z., SHI S., CHEN H., et al.
- Date : 2020/02
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 110
- Formats : PDF
View record