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Entropy, Entransy and Exergy Analysis of a Dual-Loop Organic Rankine Cycle (DORC) Using Mixture Working Fluids for Engine Waste Heat Recovery

Author

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  • Shuang Wang

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Wei Zhang

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yong-Qiang Feng

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xin Wang

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Qian Wang

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yu-Zhuang Liu

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yu Wang

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Lin Yao

    (School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

The exergy, entropy, and entransy analysis for a dual-loop organic Rankine cycle (DORC) using a mixture of working fluids have been investigated in this study. A high-temperature (HT) loop was used to recover waste heat from internal combustion engine in 350 °C, and a low-temperature loop (LT) was used to absorb residual heat of engine exhaust gas and HT loop working fluids. Hexane/toluene, cyclopentane/toluene, and R123/toluene were selected as working fluid mixtures for HT loop, while R245fa/pentane was chosen for LT loop. Results indicated that the variation of entropy generation rate, entransy loss, entransy efficiency, and exergy loss are insensitive to the working fluids. The entransy loss rate and system net power output present the same variation trends, whereas a reverse trend for entropy generation rate and entransy efficiency, while the exergy analysis proved to be only utilized under fixed stream conditions. The results also showed that hexane/toluene is the preferred mixture fluid for DORC.

Suggested Citation

  • Shuang Wang & Wei Zhang & Yong-Qiang Feng & Xin Wang & Qian Wang & Yu-Zhuang Liu & Yu Wang & Lin Yao, 2020. "Entropy, Entransy and Exergy Analysis of a Dual-Loop Organic Rankine Cycle (DORC) Using Mixture Working Fluids for Engine Waste Heat Recovery," Energies, MDPI, vol. 13(6), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1301-:d:331300
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    References listed on IDEAS

    as
    1. Wang, Enhua & Yu, Zhibin & Collings, Peter, 2017. "Dynamic control strategy of a distillation system for a composition-adjustable organic Rankine cycle," Energy, Elsevier, vol. 141(C), pages 1038-1051.
    2. Oyeniyi A. Oyewunmi & Christos N. Markides, 2016. "Thermo-Economic and Heat Transfer Optimization of Working-Fluid Mixtures in a Low-Temperature Organic Rankine Cycle System," Energies, MDPI, vol. 9(6), pages 1-21, June.
    3. Choi, Byung Chul & Kim, Young Min, 2013. "Thermodynamic analysis of a dual loop heat recovery system with trilateral cycle applied to exhaust gases of internal combustion engine for propulsion of the 6800 TEU container ship," Energy, Elsevier, vol. 58(C), pages 404-416.
    4. Shu, Gequn & Liu, Lina & Tian, Hua & Wei, Haiqiao & Yu, Guopeng, 2014. "Parametric and working fluid analysis of a dual-loop organic Rankine cycle (DORC) used in engine waste heat recovery," Applied Energy, Elsevier, vol. 113(C), pages 1188-1198.
    5. Collings, Peter & Yu, Zhibin & Wang, Enhua, 2016. "A dynamic organic Rankine cycle using a zeotropic mixture as the working fluid with composition tuning to match changing ambient conditions," Applied Energy, Elsevier, vol. 171(C), pages 581-591.
    6. Xi, Huan & Li, Ming-Jia & Xu, Chao & He, Ya-Ling, 2013. "Parametric optimization of regenerative organic Rankine cycle (ORC) for low grade waste heat recovery using genetic algorithm," Energy, Elsevier, vol. 58(C), pages 473-482.
    7. Sun, Qingxuan & Wang, Yaxiong & Cheng, Ziyang & Wang, Jiangfeng & Zhao, Pan & Dai, Yiping, 2020. "Thermodynamic and economic optimization of a double-pressure organic Rankine cycle driven by low-temperature heat source," Renewable Energy, Elsevier, vol. 147(P3), pages 2822-2832.
    8. Oyewunmi, Oyeniyi A. & Taleb, Aly I. & Haslam, Andrew J. & Markides, Christos N., 2016. "On the use of SAFT-VR Mie for assessing large-glide fluorocarbon working-fluid mixtures in organic Rankine cycles," Applied Energy, Elsevier, vol. 163(C), pages 263-282.
    9. Roy, J.P. & Misra, Ashok, 2012. "Parametric optimization and performance analysis of a regenerative Organic Rankine Cycle using R-123 for waste heat recovery," Energy, Elsevier, vol. 39(1), pages 227-235.
    10. Feng, Yongqiang & Hung, TzuChen & Zhang, Yaning & Li, Bingxi & Yang, Jinfu & Shi, Yang, 2015. "Performance comparison of low-grade ORCs (organic Rankine cycles) using R245fa, pentane and their mixtures based on the thermoeconomic multi-objective optimization and decision makings," Energy, Elsevier, vol. 93(P2), pages 2018-2029.
    11. Li, Tailu & Wang, Qiulin & Zhu, Jialing & Hu, Kaiyong & Fu, Wencheng, 2015. "Thermodynamic optimization of organic Rankine cycle using two-stage evaporation," Renewable Energy, Elsevier, vol. 75(C), pages 654-664.
    12. Li, Maoqing & Wang, Jiangfeng & He, Weifeng & Gao, Lin & Wang, Bo & Ma, Shaolin & Dai, Yiping, 2013. "Construction and preliminary test of a low-temperature regenerative Organic Rankine Cycle (ORC) using R123," Renewable Energy, Elsevier, vol. 57(C), pages 216-222.
    13. Cheng, Xuetao & Liang, Xingang, 2012. "Entransy loss in thermodynamic processes and its application," Energy, Elsevier, vol. 44(1), pages 964-972.
    14. Song, Jian & Gu, Chun-wei, 2015. "Performance analysis of a dual-loop organic Rankine cycle (ORC) system with wet steam expansion for engine waste heat recovery," Applied Energy, Elsevier, vol. 156(C), pages 280-289.
    15. Shu, Gequn & Gao, Yuanyuan & Tian, Hua & Wei, Haiqiao & Liang, Xingyu, 2014. "Study of mixtures based on hydrocarbons used in ORC (Organic Rankine Cycle) for engine waste heat recovery," Energy, Elsevier, vol. 74(C), pages 428-438.
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