Summary
The performance of the heat pump system varies greatly depending on the refrigerant charge amount. Improving the refrigerant charge Fault Detection and Diagnostics (FDD) method of vapor compression systems have the potential for increasing energy efficiency and reducing service cost. Previous studies to predict refrigerant charge amount are mostly empirical methods which require significant amount of experimental data for high accuracy. The primary goal of this research is to develop a universal charge fault detection method which requires only a few experimental data with high prediction accuracy.
Currently, pump down operations are typical practices by HVAC technicians when they need to open the refrigerant circuit to make a repairment. In addition, compressors have a built-in low-pressure cut-off protection function, and the compressor performance maps are commonly available from manufacturers. The proposed method innovatively utilizes the typical pump down operation, the compressor low-pressure cut-off protection, and the compressor performance map. It does not require any geometry information of heat exchangers, refrigerant lines, or charge buffers.
The new charge prediction method is firstly formulated through theoretical analysis, then verified and calibrated by a quasi-steady-state simulation of the pump down process for a residential heat pump system. The quasi steady-state simulation uses an HVAC system simulation framework driven by DOE/ORNL Heat Pump Design Model (HPDM). Preliminary experiment validations with heat pump refrigerant leakage tests demonstrate the deviation of the proposed charge prediction method compared with measurement is within 8%. This technology makes refrigerant charge amount available at the technician’s fingertips and leads to shorter maintenance time and fewer site visits.
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Details
- Original title: A universal refrigerant charge fault detection and diagnostics method based on pump down operation.
- Record ID : 30030722
- Languages: English
- Subject: Technology
- Source: 2022 Purdue Conferences. 19th International Refrigeration and Air-Conditioning Conference at Purdue.
- Publication date: 2022
Links
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Indexing
- Themes: Containment, refrigerant charge reduction
- Keywords: Refrigerant charge; Failure; Detection; Modelling; Simulation; Heat pump; Prediction
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Development of a dynamic model of a heat pump s...
- Author(s) : YUN Y., HAN D., CHANG Y. 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
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A digital twin for fault detection in commercia...
- Author(s) : HADDAD E., ZOUGHAIB A.
- Date : 2023/08/21
- Languages : English
- Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
- Formats : PDF
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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
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A variable refrigerant flow (VRF) air-condition...
- Author(s) : CHENG H., MU W., CHENG Y., CHEN H., XING 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
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Evaluation of existing refrigerant charge deter...
- Author(s) : JOUNAY M., CAURET O., TEUILLIERES C., TRAN C. T.
- 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