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Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases

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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making (ISDMCI 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 149))

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Abstract

Computer simulation of various nature processes can allow us to optimize the system parameters in order to increase the efficiency of its functioning in real conditions. In this paper, we present a model of a heating system based on the Joule-Thomson effect, the working fluid of which is a real gas. In order to compare the efficiency of heating systems, in which water and real gas are used as the working fluid, formulas for the efficiency of the corresponding models were obtained, which made it possible to optimize the parameters of the corresponding model. A computer simulation was carried out using the tools of R software. As a result of the simulation, the diagrams of the system parameters variation under various conditions of the model operating were obtained, which made it possible to optimize the parameters of the model in order to increase the efficiency of the system.

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Authors and Affiliations

  1. Educational and Scientific Institute of Management, Economy and Nature Management of V.I. Vernadsky Taurida National University, Kyiv, Ukraine

    Vasiliy Nadraga

  2. Military Academy named after Eugene Bereznyak, Kyiv, Ukraine

    Anatolii Balanda, Mariana Polodiuk, Yuliia Bobyr & Tetiana Kochura

Authors
  1. Vasiliy Nadraga
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  2. Anatolii Balanda
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  3. Mariana Polodiuk
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  4. Yuliia Bobyr
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  5. Tetiana Kochura
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Corresponding author

Correspondence to Anatolii Balanda .

Editor information

Editors and Affiliations

  1. Jan Evangelista Purkyně University in Ústi nad Labem, Ústi nad Labem, Czech Republic

    Sergii Babichev

  2. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

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Nadraga, V., Balanda, A., Polodiuk, M., Bobyr, Y., Kochura, T. (2023). Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_4

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