가상 냉동사이클을 활용한 공기 열원 히트펌프 시스템의 성능 예측
Predicting Performance of Air Source Heat Pump System with Virtual Refrigeration Cycle
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study aimed to develop and test a performance prediction method using virtual refrigeration cycle generation through the air and indoor-side data of a building automation system and heat pumps in an air source heat pump system of a central air-conditioning system, to which the building automation system is applied. The results of coefficient of performance, Δhcomp,ref, Δhcond,ref, and Δhevap,ref of the measured refrigeration cycle according to outside temperature were confirmed. A similar pattern was confirmed by the prediction results through the virtual refrigeration cycle. Reliability evaluation of the performance prediction results of the air source heat pump system was conducted using NMBE and CvRMSE as proposed in ASHRAE guideline 14. NMBE and CvRMSE were confirmed as -6.33% and 15.99% for the coefficient of performance, 0.91% and 11.78% for Δhcond,ref, -5.53% and 12.48% for Δhevap,ref, and 0.14% and 2.85% for Δhcomp,ref, respectively. Thus, the performance of the air heat source heat pump system using a virtual refrigeration cycle can be predicted. Future research will use the performance prediction model of the air heat source heat pump system developed in this study improve the detection and diagnosis of physical and operational failures in heat pump systems.
Abstract
This study aimed to develop and test a performance prediction method using virtual refrigeration cycle generation through the air and indoor-side data of a building automation system and heat pumps in an air source heat pump system of a central air-conditioning system, to which the building automation system is applied. The results of coefficient of performance, Δhcomp,ref, Δhcond,ref, and Δhevap,ref of the measured refrigeration cycle according to outside temperature were confirmed. A similar pattern was confirmed by the prediction results through the virtual refrigeration cycle. Reliability evaluation of the performance prediction results of the air source heat pump system was conducted using NMBE and CvRMSE as proposed in ASHRAE guideline 14. NMBE and CvRMSE were confirmed as -6.33% and 15.99% for the coefficient of performance, 0.91% and 11.78% for Δhcond,ref, -5.53% and 12.48% for Δhevap,ref, and 0.14% and 2.85% for Δhcomp,ref, respectively. Thus, the performance of the air heat source heat pump system using a virtual refrigeration cycle can be predicted. Future research will use the performance prediction model of the air heat source heat pump system developed in this study improve the detection and diagnosis of physical and operational failures in heat pump systems.
참고문헌 (22)
- IPCC, "Global Warming of 1.5℃", ~ (2018)
- IPCC, "AR6 Climate Change: 2021: The Physical Science Basis", ~ (2021)
- IEA, "Key World Enery Statistics", IEA, ~ (2009)
- Yan, L., "Thermal Comfort and Building Energy Consumption Implications – A Review", Applied Energy, 115, pp.164~173 (2014)[DOI]
- O’Grady, T., "A Systematic Review and Meta-Analysis of Building Automation Systems", Building and Environment, 195, pp.107770~ (2021)[DOI]
- Franco, A., "HVAC Energy Saving Strategies for Public Buildings Based on Heat Pumps and Demand Controlled Ventilation", Energies, 14(17), pp.5541~ (2021)[DOI]
- Ding, Y., "Experimental Study of an Improved Air Source Heat Pump", Energy Conversion and Management, 45, pp.2393~2403 (2004)[DOI]
- TechNavio, "Air Source Heat Pump Market", ~ (2023)
- ISO, "ISO 5151: Non-ducted Air Conditioners and Heat Pumps-Testing and Rating for Performance", ~ (2017)
- ISO, "ISO 13256: Water-Source Heat Pumps-Testing and Rating for Performance", ~ (2021)
- ISO, "ISO 16358: Air-Cooled Air Conditioners and Air-To-Air Heat Pumps-Testing and Calculating Methods for Seasonal Performance Factors", ~ (2013)
- SAREK, "Equipment Engineering Handbook: Refrigeration, Vol. 3" (2011)
- Tran, C. T., "In Situ Measurement Methods of Air to Air Heat Pump Performance", International Journal of Refrigeration, 36(5), pp.1442~1455 (2013)[DOI]
- Zhang, G., "New Method for Measuring Field Performance of Variable Refrgierant Flow Systems Based on Compressor Set Energy Conservation", Applied Thermal Engineering, 154, pp.530~539 (2019)[DOI]
- Cong, T., "Insitu Method for Air-Air Heat Pump Seasonal Performance Determination Including Steady-State and Dynamic Operation", International Journal of Refrigeration, 127, pp.239~249 (2021)[DOI]
- Xiao, H., "Method for Performance Metering of Indoor Units in Variable Refrigerant Flow Systems Based on Built-in Sensors", Applied Thermal Engineering, 196, pp.117268~ (2021)[DOI]
- Yan, L., "The Performance Prediction of Ground Source Heat Pump System Based on Monitoring Data and Data Mining Technology", Energy and Buildings, 127, pp.1085~1095 (2016)[DOI]
- Chesser, M., "Air Source Heat Pump In-situ Performance", Energy and Buildings, 251, pp.111365~ (2021)[DOI]
- Shin, J. H., "Machine-learning-based Coefficient of Performance Prediction Model for Heat Pump Systems", Applied Sciences, 12(1), pp.362~ (2022)[DOI]
- Lee, H. G., "Development of In Situ Refrigeration Cycle Measurement Method Using Air-Side Data of Air Source Heat Pump", Applied Sciences, 13(16), pp.9060~ (2023)[DOI]
- ASHRAE Guideline 14, Measurement of Energy, Demand, and Water Savings, "ASHRAE", American Society of Heating, Refrigerating, and Air Conditioning Engineers, ~
- Barandier, P., "A Review of Fault Diagnostics in Heat Pumps Systems", Applied Thermal Engineering, 228(120454), pp.2023~ (2023)[DOI]