IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i14p4174-d592002.html
   My bibliography  Save this article

An Approximate Transfer Function Model for a Double-Pipe Counter-Flow Heat Exchanger

Author

Listed:
  • Krzysztof Bartecki

    (Division of Control Science and Engineering, Opole University of Technology, ul. Prószkowska 76, 45-758 Opole, Poland)

Abstract

The transfer functions G ( s ) for different types of heat exchangers obtained from their partial differential equations usually contain some irrational components which reflect quite well their spatio-temporal dynamic properties. However, such a relatively complex mathematical representation is often not suitable for various practical applications, and some kind of approximation of the original model would be more preferable. In this paper we discuss approximate rational transfer functions G ^ ( s ) for a typical thick-walled double-pipe heat exchanger operating in the counter-flow mode. Using the semi-analytical method of lines, we transform the original partial differential equations into a set of ordinary differential equations representing N spatial sections of the exchanger, where each n th section can be described by a simple rational transfer function matrix G n ( s ) , n = 1 , 2 , … , N . Their proper interconnection results in the overall approximation model expressed by a rational transfer function matrix G ^ ( s ) of high order. As compared to the previously analyzed approximation model for the double-pipe parallel-flow heat exchanger which took the form of a simple, cascade interconnection of the sections, here we obtain a different connection structure which requires the use of the so-called linear fractional transformation with the Redheffer star product. Based on the resulting rational transfer function matrix G ^ ( s ) , the frequency and the steady-state responses of the approximate model are compared here with those obtained from the original irrational transfer function model G ( s ) . The presented results show: (a) the advantage of the counter-flow regime over the parallel-flow one; (b) better approximation quality for the transfer function channels with dominating heat conduction effects, as compared to the channels characterized by the transport delay associated with the heat convection.

Suggested Citation

  • Krzysztof Bartecki, 2021. "An Approximate Transfer Function Model for a Double-Pipe Counter-Flow Heat Exchanger," Energies, MDPI, vol. 14(14), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4174-:d:592002
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/14/4174/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/14/4174/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Libor Kudela & Radomir Chylek & Jiri Pospisil, 2019. "Performant and Simple Numerical Modeling of District Heating Pipes with Heat Accumulation," Energies, MDPI, vol. 12(4), pages 1-23, February.
    2. Yuhui Jin & Li Sun & Qingsong Hua & Shunjia Chen, 2018. "Experimental Research on Heat Exchanger Control Based on Hybrid Time and Frequency Domain Identification," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    3. Bohong Wang & Jiří Jaromír Klemeš & Petar Sabev Varbanov & Min Zeng, 2020. "An Extended Grid Diagram for Heat Exchanger Network Retrofit Considering Heat Exchanger Types," Energies, MDPI, vol. 13(10), pages 1-14, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Teng, Sin Yong & Orosz, Ákos & How, Bing Shen & Jansen, Jeroen J. & Friedler, Ferenc, 2023. "Retrofit heat exchanger network optimization via graph-theoretical approach: Pinch-bounded N-best solutions allows positional swapping," Energy, Elsevier, vol. 283(C).
    2. Libor Kudela & Radomír Chýlek & Jiří Pospíšil, 2020. "Efficient Integration of Machine Learning into District Heating Predictive Models," Energies, MDPI, vol. 13(23), pages 1-12, December.
    3. Leopold Prendl & René Hofmann, 2021. "Case Study of Multi-Period MILP HENS with Heat Pump and Storage Options for the Application in Energy Intensive Industries," Energies, MDPI, vol. 14(20), pages 1-21, October.
    4. Pawel Znaczko & Emilian Szczepanski & Kazimierz Kaminski & Norbert Chamier-Gliszczynski & Jacek Kukulski, 2021. "Experimental Diagnosis of the Heat Pipe Solar Collector Malfunction. A Case Study," Energies, MDPI, vol. 14(11), pages 1-19, May.
    5. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    6. Annelies Vandermeulen & Ina De Jaeger & Tijs Van Oevelen & Dirk Saelens & Lieve Helsen, 2020. "Analysis of Building Parameter Uncertainty in District Heating for Optimal Control of Network Flexibility," Energies, MDPI, vol. 13(23), pages 1-25, November.
    7. Yee Van Fan & Zorka Novak Pintarič & Jiří Jaromír Klemeš, 2020. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability," Energies, MDPI, vol. 13(16), pages 1-25, August.
    8. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Optimization of Geometric Parameters of Thermal Insulation of Pre-Insulated Double Pipes," Energies, MDPI, vol. 12(6), pages 1-11, March.
    9. Wang, Bohong & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Zeng, Min & Liang, Yongtu, 2021. "Heat Exchanger Network synthesis considering prohibited and restricted matches," Energy, Elsevier, vol. 225(C).
    10. Yuxiao Qin & Li Sun & Qingsong Hua, 2018. "Environmental Health Oriented Optimal Temperature Control for Refrigeration Systems Based on a Fruit Fly Intelligent Algorithm," IJERPH, MDPI, vol. 15(12), pages 1-15, December.
    11. Wang, Bohong & Arsenyeva, Olga & Zeng, Min & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2022. "An advanced Grid Diagram for heat exchanger network retrofit with detailed plate heat exchanger design," Energy, Elsevier, vol. 248(C).
    12. Wang, Bohong & Klemeš, Jiří Jaromír & Li, Nianqi & Zeng, Min & Varbanov, Petar Sabev & Liang, Yongtu, 2021. "Heat exchanger network retrofit with heat exchanger and material type selection: A review and a novel method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    13. Tomasz Janusz Teleszewski & Dorota Anna Krawczyk & Antonio Rodero, 2019. "Reduction of Heat Losses Using Quadruple Heating Pre-Insulated Networks: A Case Study," Energies, MDPI, vol. 12(24), pages 1-12, December.
    14. Markowski, Mariusz & Urbaniec, Krzysztof & Suchecki, Witold & Storczyk, Sandra, 2023. "Improved energy recovery from the condensed steam as part of HEN retrofit," Energy, Elsevier, vol. 270(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4174-:d:592002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.