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Molecular property methods for assessing efficiency of organic Rankine cycles

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  • Lukawski, Maciej Z.
  • DiPippo, Ronald
  • Tester, Jefferson W.

Abstract

This paper presents a robust method for assessing the efficiency of organic Rankine cycle (ORC) plants based on the molecular structures of the working fluids employed. The developed methodology uses molecular group contribution methods and does not require equations of state or extensive experimental data. The maximum utilization efficiency ɳu* of an ORC plant was correlated with two thermodynamic properties of the working fluid, namely, its critical temperature Tc and reduced ideal gas heat capacity Cp0/R. The developed correlations predict ɳu* with an average error of 0.9–1.5 percentage points. The optimum ORC heat source temperature Ths* can be predicted with an average error of 3.5 °C to 6.6 °C. The developed methodology was validated using a numerical model of an optimized ORC. It was then used to estimate ɳu* and Ths* of 92 working fluids with low global warming potentials (GWP100 < 150) and low flammability values (LFL > 0.1 kg/m3). Lastly, best candidate next-generation, low-GWP working fluids were selected for a more detailed examination.

Suggested Citation

  • Lukawski, Maciej Z. & DiPippo, Ronald & Tester, Jefferson W., 2018. "Molecular property methods for assessing efficiency of organic Rankine cycles," Energy, Elsevier, vol. 142(C), pages 108-120.
  • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:108-120
    DOI: 10.1016/j.energy.2017.09.140
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    1. 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.
    2. Frutiger, Jérôme & Andreasen, Jesper & Liu, Wei & Spliethoff, Hartmut & Haglind, Fredrik & Abildskov, Jens & Sin, Gürkan, 2016. "Working fluid selection for organic Rankine cycles – Impact of uncertainty of fluid properties," Energy, Elsevier, vol. 109(C), pages 987-997.
    3. Maraver, Daniel & Royo, Javier & Lemort, Vincent & Quoilin, Sylvain, 2014. "Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications," Applied Energy, Elsevier, vol. 117(C), pages 11-29.
    4. 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.
    5. Chen, Huijuan & Goswami, D. Yogi & Stefanakos, Elias K., 2010. "A review of thermodynamic cycles and working fluids for the conversion of low-grade heat," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3059-3067, December.
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    Cited by:

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    8. Lee, Inkyu & Tester, Jefferson William & You, Fengqi, 2019. "Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 551-577.

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