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Analysis of Thermodynamic Models for Simulation and Optimisation of Organic Rankine Cycles

Author

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  • Goran Durakovic

    (SINTEF Energy Research, Kolbjørn Hejes vei 1B, 7034 Trondheim, Norway)

  • Geir Skaugen

    (SINTEF Energy Research, Kolbjørn Hejes vei 1B, 7034 Trondheim, Norway)

Abstract

Equations of state (EOSs) form the base of every thermodynamic model used in the design of industrial processes, but little work has been done to evaluate these in the context of such models. This work evaluates 13 EOSs for their accuracy, computational time and robustness when used in an in-house optimisation program that finds the maximum power output of an organic Rankine cycle. The EOSs represent popular choices in the industry, such as the simple cubic EOSs, and more complex EOSs such as the ones based on corresponding state principles (CSP). These results were compared with results from using the Groupe Européen de Recherches Gazières (GERG) EOS, whose error is within experimental uncertainty. It appears that the corresponding state EOSs find a solution to the optimisation problem notably faster than GERG without significant loss of accuracy. A corresponding state method which used the Peng–Robinson EOS to calculate the shape factors and a highly accurate EOS for propane as the reference EOS, was shown to have a total deviation of just 0.6% as compared to GERG while also being 10 times as fast. The CSP implementation was also more robust, being able to converge successfully more often.

Suggested Citation

  • Goran Durakovic & Geir Skaugen, 2019. "Analysis of Thermodynamic Models for Simulation and Optimisation of Organic Rankine Cycles," Energies, MDPI, vol. 12(17), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3307-:d:261483
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    References listed on IDEAS

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    1. 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.
    2. Li, H. & Yan, J., 2009. "Impacts of equations of state (EOS) and impurities on the volume calculation of CO2 mixtures in the applications of CO2 capture and storage (CCS) processes," Applied Energy, Elsevier, vol. 86(12), pages 2760-2770, December.
    3. Li, H. & Yan, J., 2009. "Evaluating cubic equations of state for calculation of vapor-liquid equilibrium of CO2 and CO2-mixtures for CO2 capture and storage processes," Applied Energy, Elsevier, vol. 86(6), pages 826-836, June.
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    Cited by:

    1. Michel Feidt & Monica Costea & Renaud Feidt & Quentin Danel & Christelle Périlhon, 2020. "New Criteria to Characterize the Waste Heat Recovery," Energies, MDPI, vol. 13(4), pages 1-15, February.

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