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    Potential Application of CO2-Based Mixtures in the Combined Power and Cooling System for the Waste Heat Recovery

    Source: Journal of Thermal Science and Engineering Applications:;2022:;volume( 014 ):;issue: 006::page 61016-1
    Author:
    Yu, Aofang
    ,
    Lin, Xinxing
    ,
    Su, Wen
    ,
    Zhou, Naijun
    DOI: 10.1115/1.4053600
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To reduce the operating pressure and broaden the range of condensation temperature, it is proposed to mix CO2 with organic fluid to form a zeotropic mixture. However, how CO2-based mixtures perform in the combined power and cooling system is still an open question. Therefore, in this study, aiming at the newly proposed system for waste heat recovery, CO2/R600a and CO2/R601a mixtures are first employed to produce power and cooling. Based on the established models, the energy and exergy performances of combined system with CO2-based mixtures are analyzed. The effects of key parameters on system performances are investigated. On this basis, the performance optimization is conducted to maximize net work by using a genetic algorithm (GA), and the optimal system performance of mixtures and pure CO2 are compared. The results indicate that under the basic operating conditions, the net works of CO2/R600a (0.5/0.5) and CO2/R601a (0.5/0.5) are 2717.93 kW and 1145.98 kW, respectively. The optimal results indicate that among the considered working fluids, the highest specific net work is always obtained by CO2/R600a system. This study will be helpful to the development of combined power and cooling systems with CO2-based mixtures.
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      Potential Application of CO2-Based Mixtures in the Combined Power and Cooling System for the Waste Heat Recovery

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4284412
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    • Journal of Thermal Science and Engineering Applications

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    contributor authorYu, Aofang
    contributor authorLin, Xinxing
    contributor authorSu, Wen
    contributor authorZhou, Naijun
    date accessioned2022-05-08T08:50:36Z
    date available2022-05-08T08:50:36Z
    date copyright3/10/2022 12:00:00 AM
    date issued2022
    identifier issn1948-5085
    identifier othertsea_14_6_061016.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284412
    description abstractTo reduce the operating pressure and broaden the range of condensation temperature, it is proposed to mix CO2 with organic fluid to form a zeotropic mixture. However, how CO2-based mixtures perform in the combined power and cooling system is still an open question. Therefore, in this study, aiming at the newly proposed system for waste heat recovery, CO2/R600a and CO2/R601a mixtures are first employed to produce power and cooling. Based on the established models, the energy and exergy performances of combined system with CO2-based mixtures are analyzed. The effects of key parameters on system performances are investigated. On this basis, the performance optimization is conducted to maximize net work by using a genetic algorithm (GA), and the optimal system performance of mixtures and pure CO2 are compared. The results indicate that under the basic operating conditions, the net works of CO2/R600a (0.5/0.5) and CO2/R601a (0.5/0.5) are 2717.93 kW and 1145.98 kW, respectively. The optimal results indicate that among the considered working fluids, the highest specific net work is always obtained by CO2/R600a system. This study will be helpful to the development of combined power and cooling systems with CO2-based mixtures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePotential Application of CO2-Based Mixtures in the Combined Power and Cooling System for the Waste Heat Recovery
    typeJournal Paper
    journal volume14
    journal issue6
    journal titleJournal of Thermal Science and Engineering Applications
    identifier doi10.1115/1.4053600
    journal fristpage61016-1
    journal lastpage61016-11
    page11
    treeJournal of Thermal Science and Engineering Applications:;2022:;volume( 014 ):;issue: 006
    contenttypeFulltext
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