Virtual Refrigerant Charge Sensing Method for Next-Generation Refrigerant in Residential Heat Pumps

  • Chenjiyu Liang
  • , Fangzhou Guo
  • , Donghun Kim
  • , Bo Shen

Research output: Contribution to journalConference articlepeer-review

Abstract

The charge level of refrigerant in heat pump systems significantly affects their operational performance. Virtual refrigerant charge (VRC) sensing technology has been well-established for traditional refrigerants (HFCs and HCFCs) for its low cost compared to physical sensors. However, other than traditional refrigerants, HFOs are increasingly used in next-generation heat pumps; whether these conventional VRC sensing methods remain applicable for heat pump systems utilizing next-generation refrigerants requires further investigation. To address these issues, this study develops a low-cost VRC sensing method for next-generation refrigerant heat pumps used in residential buildings. The developed algorithm is evaluated by using simulation models to evaluate the accuracy, considering an R454B heat pump with a nominal heating capacity of 51K Btu/hr (14.95 kW) as an example, and compared with those of the two reference VRC sensing algorithms. Though the developed VRC sensing algorithm and the two reference methods can accurately predict the charge level for the R454B heat pump system (with mean absolute percentage error for various cooling and heating conditions less than 7%), the developed VRC sensing algorithm uses fewer sensors and improves the overall accuracy for heating conditions by 7.1%, and the accuracy for undercharge cooling conditions 14.2%, compared with a mainstream algorithm. This technology will complement physical leakage detectors, and promote the adoption of next-generation heat pump systems, along with reducing wasted energy and maintenance costs.

Original languageEnglish
Pages (from-to)324-332
Number of pages9
JournalASHRAE Transactions
Volume131
Issue numberPt2
DOIs
StatePublished - 2025
EventASHRAE Annual Conference, 2025 - Phoenix, United States
Duration: Jun 21 2025Jun 25 2025

Funding

This research was supported by the Assistant Secretary for Efficiency and Renewable Energy, Office of Building Technologies and Industrial Efficiency and Decarbonization Office of the U.S. Department of Energy, under Contract No. DE-AC02-05CH11231.

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