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Kang K, Gu Y, Wang X. Assessment and development of the viscosity prediction capabilities of entropy scaling method coupled with a modified binary interaction parameter estimation model for refrigerant blends. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119184] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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2
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Yao G, Yang C, Hu D, Zhu Q, Li X. An improvement on
Martin‐Hou
equation of state for more precise prediction in the liquid region. AIChE J 2021. [DOI: 10.1002/aic.17554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Guang Yao
- School of Chemical Engineering, Sichuan University Chengdu Sichuan China
- Engineering Research Center of Combustion and Cooling for Aerospace Power, Ministry of Education Sichuan University Chengdu Sichuan China
| | - Chengang Yang
- School of Chemical Engineering, Sichuan University Chengdu Sichuan China
- Engineering Research Center of Combustion and Cooling for Aerospace Power, Ministry of Education Sichuan University Chengdu Sichuan China
| | - Dong Hu
- School of Chemical Engineering, Sichuan University Chengdu Sichuan China
- Engineering Research Center of Combustion and Cooling for Aerospace Power, Ministry of Education Sichuan University Chengdu Sichuan China
| | - Quan Zhu
- School of Chemical Engineering, Sichuan University Chengdu Sichuan China
- Engineering Research Center of Combustion and Cooling for Aerospace Power, Ministry of Education Sichuan University Chengdu Sichuan China
| | - Xiangyuan Li
- School of Chemical Engineering, Sichuan University Chengdu Sichuan China
- Engineering Research Center of Combustion and Cooling for Aerospace Power, Ministry of Education Sichuan University Chengdu Sichuan China
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3
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Performance Analysis and Working Fluid Selection for Single and Two Stages Vapor Compression Refrigeration Cycles. Processes (Basel) 2020. [DOI: 10.3390/pr8091017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Screening for alternative refrigerants with high energy efficiency and low environmental impacts is one of the highest challenges of the refrigeration sector. This paper investigates the performance and refrigerant screening for single and two stages vapor compression refrigeration cycles. Several pure hydrocarbons, hydrofluorocarbons, hydrofluoroolefins, fluorinated ethers, and binary azeotropic mixtures are proposed as alternative refrigerants to substitute R22 and R134a due to their environmental impacts. The BACKONE equation of state is used to compute the thermodynamic properties of the candidates. The results show that the maximum coefficients of performance (COP) for single and two stage cycles using pure substances are achieved using cyclopentane with values of 4.14 and 4.35, respectively. On the other side, the maximum COP for the two cycles using azeotropic mixtures is accomplished using R134a + RE170 with values of 3.96 and 4.27, respectively. The two-stage cycle presents gain in COP between 5.1% and 19.6% compared with the single-stage cycle based on the used refrigerant. From the obtained results, among all investigated refrigerants, cyclopentane is the most suitable refrigerant for the two cycles from the viewpoint of energy efficiency. However, extra cautions should be taken due to its flammability.
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Kang K, Wang X, Kontogeorgis GM, Liang X. Modeling Hydrofluoroolefins with the Cubic Plus Association and Perturbed-Chain Statistical Associating Fluid Theory Equations of State. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b04813] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Kai Kang
- Center for Energy Resources Engineering (CERE), Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
- MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, P. R. China
| | - Xiaopo Wang
- MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, P. R. China
| | - Georgios M. Kontogeorgis
- Center for Energy Resources Engineering (CERE), Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | - Xiaodong Liang
- Center for Energy Resources Engineering (CERE), Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
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5
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Fouad WA, Vega LF. Next generation of low global warming potential refrigerants: Thermodynamic properties molecular modeling. AIChE J 2017. [DOI: 10.1002/aic.15859] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Wael A. Fouad
- Gas Research Center and Dept. of Chemical Engineering; Petroleum Institute, Khalifa University of Science and Technology; Abu Dhabi United Arab Emirates
| | - Lourdes F. Vega
- Gas Research Center and Dept. of Chemical Engineering; Petroleum Institute, Khalifa University of Science and Technology; Abu Dhabi United Arab Emirates
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