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Rigorous feature selection of the virtual refrigerant charge sensor for variable-speed heat pumps.

Number: 2531

Author(s) : GUO F., KIM D., HLANZE P., CAI J.

Summary

Variable-speed heat pumps have become more popular for residential buildings due to their higher energy efficiency and improved thermal comfort. For these high-tier products, real-time performance monitoring for fault detection and diagnosis (FDD) is necessary. However, the FDD toolkits usually require embodding additional sensors which may significantly increase the product cost. To reduce the sensor cost, the state-of-the-art virtual sensor-based FDD technology provides a possible solution. It only uses low-cost and non-invasive sensors and estimates the properties
of a system by combining sensor measurements with the physics and characteristics of the system. This paper aims to extend the application of a previously developed virtual refrigerant charge (VRC) sensor to variable-speed heat pumps.
To incorporate the influence of compressor speed on system thermodynamics, a stepwise procedure is proposed to select the best set of features for the extended VRC sensor. In this procedure, domain expertise and statistical tests are used to assess the importance of several physical quantities in the estimation of refrigerant charge. Also, multiple sets
of features are compared and analyzed. Finally, the rigorous feature selection process showed that the subcooling temperature, condensing temperature, and refrigerant quality at the evaporator inlet are more important features than others. The performance of the modified VRC sensors is evaluated by experimental data collected from a residential variable-speed heat pump containing several operating conditions and compressor speeds. With the selected best set of features, the extended VRC sensor is capable of identifying the actual charge level with a mean absolute percentage
error below 8%.

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  • Original title: Rigorous feature selection of the virtual refrigerant charge sensor for variable-speed heat pumps.
  • Record ID : 30033037
  • Languages: English
  • Subject: Technology
  • Source: 2024 Purdue Conferences. 20th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2024/07/17

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