LAPSE:2023.10739
Published Article

LAPSE:2023.10739
The Collaborative Optimization of the Discharge Pressure and Heat Recovery Rate in a Transcritical CO2 Heat Pump Used in Extremely Low Temperature Environment
February 27, 2023
Abstract
Considering the excellent environmental properties and heating capability under wide running conditions of the natural fluid CO2, the transcritical CO2 heat pump system has widely been used in the application of water heaters, commercial heating and cooling, electric vehicle thermal management, etc. Since the performance was highly affected by the discharge pressure and heat recovery rate in a transcritical CO2 system, the collaborative optimization of these two parameters was analyzed in detail in this study. The results showed that the optimal value of the system heating COP, which was the ration of heating capacity to power consumption, was better under a higher heat recovery rate and relatively lower discharge pressure, which is why these kinds of operating conditions are highly recommended from the perspective of collaborative optimization. Additionally, the heat recovery rate had a positive effect on the system performance when the discharge pressure was lower than its optimal value, while the heat recovery rate would present a passive effect on the system performance when the discharge pressure was higher than its optimal value. The relevant conclusions of this study provide a good theoretical basis for the efficient and stable operation of the transcritical CO2 heat pump technology under the conditions of a wide ambient temperature range.
Considering the excellent environmental properties and heating capability under wide running conditions of the natural fluid CO2, the transcritical CO2 heat pump system has widely been used in the application of water heaters, commercial heating and cooling, electric vehicle thermal management, etc. Since the performance was highly affected by the discharge pressure and heat recovery rate in a transcritical CO2 system, the collaborative optimization of these two parameters was analyzed in detail in this study. The results showed that the optimal value of the system heating COP, which was the ration of heating capacity to power consumption, was better under a higher heat recovery rate and relatively lower discharge pressure, which is why these kinds of operating conditions are highly recommended from the perspective of collaborative optimization. Additionally, the heat recovery rate had a positive effect on the system performance when the discharge pressure was lower than its optimal value, while the heat recovery rate would present a passive effect on the system performance when the discharge pressure was higher than its optimal value. The relevant conclusions of this study provide a good theoretical basis for the efficient and stable operation of the transcritical CO2 heat pump technology under the conditions of a wide ambient temperature range.
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Keywords
collaborative optimization, optimal discharge pressure, optimal heat recovery rate, transcritical CO2 heat pump
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Suggested Citation
Wu Z, Bi F, Fei J, Zheng Z, Song Y, Cao F. The Collaborative Optimization of the Discharge Pressure and Heat Recovery Rate in a Transcritical CO2 Heat Pump Used in Extremely Low Temperature Environment. (2023). LAPSE:2023.10739
Author Affiliations
Wu Z: Collage of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116024, China
Bi F: Collage of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116024, China
Fei J: Collage of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116024, China
Zheng Z: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Song Y: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Cao F: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Bi F: Collage of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116024, China
Fei J: Collage of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116024, China
Zheng Z: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Song Y: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Cao F: School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Journal Name
Energies
Volume
16
Issue
4
First Page
2059
Year
2023
Publication Date
2023-02-20
ISSN
1996-1073
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Original Submission
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PII: en16042059, Publication Type: Journal Article
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LAPSE:2023.10739
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https://doi.org/10.3390/en16042059
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Feb 27, 2023
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