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A Dynamic Simulation Model for a Heat Exchanger Malfunction Monitoring

Author

Listed:
  • Lorenzo Damiani

    (DIME—Department of Mechanical Engineering, University of Genova, 16145 Genoa, Italy)

  • Roberto Revetria

    (DIME—Department of Mechanical Engineering, University of Genova, 16145 Genoa, Italy)

  • Pietro Giribone

    (DIME—Department of Mechanical Engineering, University of Genova, 16145 Genoa, Italy)

Abstract

Modelling and simulation is presented for a finned cross-flow heat exchanger with the aim to heat cold air to be fed to air conditioning batteries for marine purposes. The model employed in this paper is finalized to simulate the dynamic behavior of air and water temperatures fed to the air conditioning batteries operating in cold environments, in order to predict possible troubles owing to the change in input parameters, such as unwanted flow rate variations due to system malfunctions. In the investigated model, heat balance equations are presented and discretized by Laplace transform, which has the advantage to easily account for the different structures of heaters used for the purpose of validation. The model was implemented in the Matlab-Simulink environment for its high capacity of dealing with dynamic systems. The results of the model are satisfactory, as the dynamic behavior of the air stream temperature is correctly reproduced, as compared to experimental data, providing a suitable parameter for malfunctions prediction.

Suggested Citation

  • Lorenzo Damiani & Roberto Revetria & Pietro Giribone, 2022. "A Dynamic Simulation Model for a Heat Exchanger Malfunction Monitoring," Energies, MDPI, vol. 15(5), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1862-:d:763098
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    References listed on IDEAS

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    1. Adriano Desideri & Bertrand Dechesne & Jorrit Wronski & Martijn Van den Broek & Sergei Gusev & Vincent Lemort & Sylvain Quoilin, 2016. "Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language," Energies, MDPI, vol. 9(5), pages 1-18, May.
    2. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    3. Zhao, Xiaohuan & E, Jiaqiang & Zhang, Zhiqing & Chen, Jingwei & Liao, Gaoliang & Zhang, Feng & Leng, Erwei & Han, Dandan & Hu, Wenyu, 2020. "A review on heat enhancement in thermal energy conversion and management using Field Synergy Principle," Applied Energy, Elsevier, vol. 257(C).
    4. Humaira Yasmin & Naveed Iqbal & Anum Tanveer, 2020. "Engineering Applications of Peristaltic Fluid Flow with Hall Current, Thermal Deposition and Convective Conditions," Mathematics, MDPI, vol. 8(10), pages 1-21, October.
    5. Humaira Yasmin & Naveed Iqbal, 2021. "Convective Mass/Heat Analysis of an Electroosmotic Peristaltic Flow of Ionic Liquid in a Symmetric Porous Microchannel with Soret and Dufour," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, June.
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    Cited by:

    1. Tammo Zobel & Andreas Ritter & Christopher H. Onder, 2023. "The Faster the Better? Optimal Warm-Up Strategies for a Micro Combined Heat and Power Plant," Energies, MDPI, vol. 16(10), pages 1-24, May.

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