Fault Detection Algorithm for Multiple-Simultaneous Refrigerant Charge and Secondary Fluid Flow Rate Faults in Heat Pumps
Open Access
- 28 June 2021
- Vol. 14 (13), 3877
- https://doi.org/10.3390/en14133877
Abstract
The detection and diagnosis of faults is becoming necessary in ensuring energy savings in heat pump units. Faults can exist independently or simultaneously in heat pumps at the refrigerant side and secondary fluid flow loops. In this work, we discuss the effects that simultaneous refrigerant charge faults and faults associated with the flow rate of secondary fluids have on the performance of a heat pump operating in summer season and we developed a correlation to detect and diagnose these faults using multiple linear regression. The faults considered include simultaneous refrigerant charge and indoor heat exchanger secondary fluid flow rate faults (IFRFs), simultaneous refrigerant charge and outdoor heat exchanger secondary fluid flow rate faults (OFRFs) and simultaneous refrigerant charge, IFRF and OFRF. The occurrence of simultaneous refrigerant charge fault, IFRF and OFRF caused up to a 5.7% and 8% decrease in cooling capacity compared to simultaneous refrigerant charge and indoor heat exchanger secondary fluid flow rate faults, and simultaneous refrigerant charge and outdoor heat exchanger secondary fluid flow rate faults, respectively. Simultaneous refrigerant charge fault, IFRF and OFRF resulted in up to an 11.6% and 5.9% decrease in COP of the heat pump unit compared to simultaneous refrigerant charge fault and IFRF, and simultaneous refrigerant charge fault and OFRF, respectively. The developed FDD correlations accurately predicted the simultaneous refrigerant charge and faults in the flow rate of the secondary fluid within an error margin of 7.7%.Funding Information
- National Research Foundation of Korea (2019R1A2C2087157)
This publication has 23 references indexed in Scilit:
- Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based ApproachSustainability, 2021
- Versatile AHU fault detection – Design, field validation and practical applicationEnergy and Buildings, 2021
- Advanced Control and Fault Detection Strategies for District Heating and Cooling Systems—A ReviewApplied Sciences, 2021
- Real-world application of machine-learning-based fault detection trained with experimental dataEnergy, 2020
- Fault detection and diagnosis for indoor air quality in DCV systems: Application of 4S3F method and effects of DBN probabilitiesJournal of Affective Disorders, 2020
- A critical review of fault modeling of HVAC systems in buildingsBuilding Simulation, 2018
- Influence of Refrigerant Charge Amount and EEV Opening on the Performance of a Transcritical CO2 Heat Pump Water HeaterEnergies, 2017
- A review of fault detection and diagnostics methods for building systemsScience and Technology for the Built Environment, 2017
- Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVMNeurocomputing, 2017
- Fault Detection Analysis of Building Energy Consumption Using Data Mining TechniquesEnergy Procedia, 2013