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Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure

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  • Yachao Pan

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

  • Fubin Yang

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

  • Hongguang Zhang

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

  • Yinlian Yan

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

  • Anren Yang

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

  • Jia Liang

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

  • Mingzhe Yu

    (Key Laboratory of Enhanced Heat Transfer and Energy Conservation of MOE, Beijing Key Laboratory of Heat Transfer and Energy Conversion, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China)

Abstract

Working fluid selection is crucial for organic Rankine cycles (ORC). In this study, the relationship between molecular structure and ORC performance was established based on the quantitative structure–property relationship (QSPR) and working fluid parameterized model (WFPM), from which an ORC working fluid was actively designed. First, the QSPR model with four properties, namely, critical temperature ( T c ), boiling point ( T b ), critical pressure ( p c ), and isobaric heat capacity ( c p 0 ), was built. Second, the evaporation enthalpy ( h vap ), evaporation entropy ( s vap ), and thermal efficiency ( η ) were estimated by WFPM, and the results were compared with those using REFPROP to verify the calculation accuracy of the “QSPR+WFPM” coupling model. The average absolute relative deviations of evaporation enthalpy and entropy are below 8.44%. The maximum relative error of thermal efficiency is 6%. Then, the thermodynamic performance limit of ORC and corresponding thermophysical properties of the ideal working fluid were calculated at typical geothermal source conditions. Finally, the active design of the working fluid was conducted with the ideal working fluid T c and p c as the target. The research shows that C 3 H 4 F 2 and C 4 H 3 F 5 are optimal working fluids at 473.15 and 523.15 K heat sources, respectively.

Suggested Citation

  • Yachao Pan & Fubin Yang & Hongguang Zhang & Yinlian Yan & Anren Yang & Jia Liang & Mingzhe Yu, 2022. "Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure," Energies, MDPI, vol. 15(21), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8160-:d:960530
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    References listed on IDEAS

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    1. Jeong Soo Shin & Jong Woo Park & Sean Hay Kim, 2020. "Measurement and Verification of Integrated Ground Source Heat Pumps on a Shared Ground Loop," Energies, MDPI, vol. 13(7), pages 1-24, April.
    2. Brown, J. Steven & Brignoli, Riccardo & Daubman, Samantha, 2014. "Methodology for estimating thermodynamic parameters and performance of working fluids for organic Rankine cycles," Energy, Elsevier, vol. 73(C), pages 818-828.
    3. Jiawen Bai & Tao Ding & Zhe Wang & Jianhua Chen, 2019. "Day-Ahead Robust Economic Dispatch Considering Renewable Energy and Concentrated Solar Power Plants," Energies, MDPI, vol. 12(20), pages 1-17, October.
    4. Xu, Jinliang & Yu, Chao, 2014. "Critical temperature criterion for selection of working fluids for subcritical pressure Organic Rankine cycles," Energy, Elsevier, vol. 74(C), pages 719-733.
    5. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Wang, Chongyao & Zhang, Wujie & Wang, Yan, 2022. "Energy, economic and environmental dynamic response characteristics of organic Rankine cycle (ORC) system under different driving cycles," Energy, Elsevier, vol. 246(C).
    6. Su, Wen & Zhao, Li & Deng, Shuai, 2017. "Simultaneous working fluids design and cycle optimization for Organic Rankine cycle using group contribution model," Applied Energy, Elsevier, vol. 202(C), pages 618-627.
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