Gayeski, Nicholas Thomas and Žakula, Tea and Armstrong, Peter Ross and Norford, Leslie Keith (2011) Empirical Modeling of a Rolling-Piston Compressor Heat Pump for Predictive Control in Low-Lift Cooling. = Empirical Modeling of a Rolling-Piston Compressor Heat Pump for Predictive Control in Low-Lift Cooling. In: Annual Conference of the American-Society-of-Heating-Refrigerating-and-Air-Conditioning-Engineers (ASHRAE), JUN 25-29, 2011, Montreal, CANADA.
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Empirical Modeling of a Rolling-Piston Compressor Heat Pump for Predictive Control in Low-Lift Cooling.pdf - Published Version Jezik dokumenta:English Download (467kB) | Preview |
Abstract
This paper describes the measurement and empirical modeling of the performance of an inverter-driven variable capacity rolling-piston compressor heat pump for use in a predictive control algorithm to achieve energy-efficient low-lift heat pump operation. A 0.75 refrigeration ton (9, 000 BTU/h) heat pump was tested at 131 steady-state operating conditions, spanning pressure ratios from 1.2 to 4.8. Compressor speed, condenser fan speed, condenser air inlet temperature, and evaporator air inlet temperature were varied to map the performance of the heat pump over a broad range of conditions, including low-pressure ratios. Empirical, regression-based, curve-fit models of the heat pump power consumption, cooling capacity, and coefficient of performance were identified that accurately represent heat pump performance over the full range of test conditions. This model can be incorporated into model-based predictive chiller control algorithms, where compressor speed and condenser fan speed can be tuned to achieve energy-efficient low-lift chiller performance.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords (Croatian): | coefficent of performance; heat pump; rolling-piston compressor; inverter |
| Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
| Divisions: | 300 Department of Thermodynamics, Thermal and Process Engineering > 320 Chair of Thermal and Process Engineering |
| Indexed in Web of Science: | Yes |
| Indexed in Current Contents: | No |
| Citations JCR: | 1 (24.02.2017.) |
| Citations SCOPUS: | 4 (24.02.2017.) |
| Date Deposited: | 13 Feb 2017 10:42 |
| Last Modified: | 24 Feb 2017 15:56 |
| URI: | http://repozitorij.fsb.hr/id/eprint/7287 |
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