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    Performance Optimization and Experimental Investigation of Organic Rankine Cycle System Using Binary Zeotropic Mixtures

    Source: Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy:;2026:;volume( 002 ):;issue:003::page 11
    Author:
    Ma, Xinling
    ,
    Chen, Mengyu
    ,
    Lian, Qifei
    ,
    Wang, Lei
    ,
    Meng, Xiangrui
    ,
    Wei, Xinli
    DOI: 10.1115/1.4070605
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study proposes a novel optimization method to enhance the behavior of organic Rankine cycle (ORC) systems through utilizing zeotropic mixtures with temperature glide characteristics. The mixture is created by introducing a pure fluid with thermodynamic behavior similar to the target medium but capable of producing a larger temperature glide. Using R245fa as the reference fluid, the behavior of the candidates was examined through simulations and further validated on an experimental ORC test bench. Results show that the ORC system achieved its optimal behavior when the heat source, cooling water, and cycle medium mass flows are 4240 kg/h, 3000 kg/h, and 700 kg/h, respectively. Under these conditions, the turbine enthalpy drop reaches 10.29 kJ/kg, the net output power is 1.919 kW, and the thermal and exergy efficiencies are 12.6% and 3.53%, respectively. With the cycle medium flow range of 500–700 kg/h, the 0.3R134a/0.7R245fa mixture delivers consistently higher efficiencies than pure R245fa, confirming the mixture's performance advantage under practical low-temperature waste-heat conditions.
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      Performance Optimization and Experimental Investigation of Organic Rankine Cycle System Using Binary Zeotropic Mixtures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4315488
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    • Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy

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    contributor authorMa, Xinling
    contributor authorChen, Mengyu
    contributor authorLian, Qifei
    contributor authorWang, Lei
    contributor authorMeng, Xiangrui
    contributor authorWei, Xinli
    date accessioned2026-08-23T07:42:49Z
    date available2026-08-23T07:42:49Z
    date copyright2026/03/01
    date issued2026
    identifier issn2997-0253
    identifier otherjerta-25-1305.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315488
    description abstractAbstract. This study proposes a novel optimization method to enhance the behavior of organic Rankine cycle (ORC) systems through utilizing zeotropic mixtures with temperature glide characteristics. The mixture is created by introducing a pure fluid with thermodynamic behavior similar to the target medium but capable of producing a larger temperature glide. Using R245fa as the reference fluid, the behavior of the candidates was examined through simulations and further validated on an experimental ORC test bench. Results show that the ORC system achieved its optimal behavior when the heat source, cooling water, and cycle medium mass flows are 4240 kg/h, 3000 kg/h, and 700 kg/h, respectively. Under these conditions, the turbine enthalpy drop reaches 10.29 kJ/kg, the net output power is 1.919 kW, and the thermal and exergy efficiencies are 12.6% and 3.53%, respectively. With the cycle medium flow range of 500–700 kg/h, the 0.3R134a/0.7R245fa mixture delivers consistently higher efficiencies than pure R245fa, confirming the mixture's performance advantage under practical low-temperature waste-heat conditions.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePerformance Optimization and Experimental Investigation of Organic Rankine Cycle System Using Binary Zeotropic Mixtures
    typeJournal Paper
    journal volume2
    journal issue3
    journal titleJournal of Energy Resources Technology, Part A: Sustainable and Renewable Energy
    identifier doi10.1115/1.4070605
    journal fristpage11
    journal lastpage26
    page16
    treeJournal of Energy Resources Technology, Part A: Sustainable and Renewable Energy:;2026:;volume( 002 ):;issue:003
    contenttypeFulltext
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