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Reverse engineering of fluid selection for thermodynamic cycles with cubic equations of state, using a compression heat pump as example

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  • Roskosch, Dennis
  • Atakan, Burak

Abstract

Fluid selection for thermodynamic cycles like refrigeration cycles, heat pumps or organic Rankine cycles remains an actual topic. Generally the search for a working fluid is based on experimental approaches or on a not very systematic trial and error approach, far from being elegant. An alternative method may be a theory based reverse engineering approach, proposed and investigated here: The design process should start with an optimal process and with (abstract) properties of the fluid needed to fit into this optimal process, best described by some general equation of state and the corresponding fluid-describing parameters. These should be analyzed and optimized with respect to the defined model process, which also has to be optimized simultaneously. From this information real fluids can be selected or even synthesized which have fluid defining properties in the optimum regime like critical temperature or ideal gas capacities of heat, allowing to find new working fluids, not considered so far. The number and kind of the fluid-defining parameters is mainly based on the choice of the used EOS (equation of state). The property model used in the present work is based on the cubic Peng–Robinson equation, chosen due to its moderate numerical expense, sufficient accuracy as well as a general availability of the fluid-defining parameters for many compounds.

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  • Roskosch, Dennis & Atakan, Burak, 2015. "Reverse engineering of fluid selection for thermodynamic cycles with cubic equations of state, using a compression heat pump as example," Energy, Elsevier, vol. 81(C), pages 202-212.
    • Handle: RePEc:eee:energy:v:81:y:2015:i:c:p:202-212
    DOI: 10.1016/j.energy.2014.12.025
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    References listed on IDEAS

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    1. Cignitti, Stefano & Andreasen, Jesper G. & Haglind, Fredrik & Woodley, John M. & Abildskov, Jens, 2017. "Integrated working fluid-thermodynamic cycle design of organic Rankine cycle power systems for waste heat recovery," Applied Energy, Elsevier, vol. 203(C), pages 442-453.
    2. Su, Wen & Hwang, Yunho & shao, Yawei & Deng, Shuai & Zhao, Li & Nie, Xianhua & Zhang, Yue, 2019. "Error analysis of ORC performance calculation based on the Helmholtz equation with different binary interaction parameters of mixture," Energy, Elsevier, vol. 166(C), pages 414-425.
    3. Schilling, J. & Entrup, M. & Hopp, M. & Gross, J. & Bardow, A., 2021. "Towards optimal mixtures of working fluids: Integrated design of processes and mixtures for Organic Rankine Cycles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    4. Roskosch, Dennis & Venzik, Valerius & Atakan, Burak, 2020. "Potential analysis of pumped heat electricity storages regarding thermodynamic efficiency," Renewable Energy, Elsevier, vol. 147(P3), pages 2865-2873.
    5. Patrick Linke & Athanasios I. Papadopoulos & Panos Seferlis, 2015. "Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review," Energies, MDPI, vol. 8(6), pages 1-47, May.
    6. Dennis Roskosch & Valerius Venzik & Burak Atakan, 2019. "Fluid Retrofit for Existing Vapor Compression Refrigeration Systems and Heat Pumps: Evaluation of Different Models," Energies, MDPI, vol. 12(12), pages 1-12, June.

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