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A Novel Model for U-Tube Steam Generators for Pressurized Water Reactors

Author

Listed:
  • Huseyin Emre Sahin

    (Mechanical Engineering Department, Pamukkale University, 20160 Denizli, Turkey)

  • Harun Kemal Ozturk

    (Mechanical Engineering Department, Pamukkale University, 20160 Denizli, Turkey)

Abstract

A novel model was proposed for U-Tube Steam Generators in Pressurized Water Reactors to be utilized in dynamics and control studies. The steam generator was divided into 14 nodes and investigated by applying mass and energy conservation equations in differential form. A system of nonlinear differential equations was obtained. This equation system was numerically simulated using the Julia programming language through a fourth order Runge–Kutta method. Accurate values for thermodynamic properties were taken from the Coolprop library, eliminating the need to take constant values or linear interpolations. A three-element proportional and integral control was applied as the control system in the model. Changes in feedwater flow rate, steam outlet flow rate, primary inlet flow rate, feedwater inlet temperature and primary inlet temperature were investigated, and the response of the steam generator was simulated using the developed model. It was observed that the proposed model gives results for U-Tube Steam Generators comparable to those in the literature and that it can be used in dynamic model and control simulations.

Suggested Citation

  • Huseyin Emre Sahin & Harun Kemal Ozturk, 2025. "A Novel Model for U-Tube Steam Generators for Pressurized Water Reactors," Energies, MDPI, vol. 18(6), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:6:p:1506-:d:1615043
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    References listed on IDEAS

    as
    1. Hui, Jiuwu, 2024. "Fixed-time fractional-order sliding mode controller with disturbance observer for U-tube steam generator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 205(C).
    2. Lorenzo Bolfo & Francesco Devia & Guglielmo Lomonaco, 2021. "Nuclear Hydrogen Production: Modeling and Preliminary Optimization of a Helical Tube Heat Exchanger," Energies, MDPI, vol. 14(11), pages 1-24, May.
    3. Ben Qi & Jingang Liang & Jiejuan Tong, 2023. "Fault Diagnosis Techniques for Nuclear Power Plants: A Review from the Artificial Intelligence Perspective," Energies, MDPI, vol. 16(4), pages 1-27, February.
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