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  • Open Access

    ARTICLE

    Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

    Fabiano Thulu, Zeyun Wu*

    Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.076328 - 27 April 2026

    Abstract Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station Blackout (SBO) and Loss-of-Coolant Accident (LOCA) is vital for structural integrity assessment. However, conventional thermal-hydraulic simulations used for such predictions are computationally intensive, limiting their applicability for real-time analysis. This study develops and compares three surrogate models: Polynomial Regression, Deep Neural Network (DNN), and a Physics-Informed Neural Network (PINN). Thermal-hydraulic simulation data generated by RELAP5-3D are integrated with physics-constrained learning techniques to model transient heat conduction in the pressurizer wall. The internal wall temperature evolution… More >

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  • Open Access

    ARTICLE

    Non-integer Order Control Scheme for Pressurized Water Reactor Core Power

    Ibrahim M. Mehedi1,2,*, Maher H. AL-Sereihy2, Asmaa Ubaid Al-Saggaf2, Ubaid M. Al-Saggaf1,2

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 651-662, 2022, DOI:10.32604/cmc.2022.022013 - 24 February 2022

    Abstract Tracking load changes in a pressurized water reactor (PWR) with the help of an efficient core power control scheme in a nuclear power station is very important. The reason is that it is challenging to maintain a stable core power according to the reference value within an acceptable tolerance for the safety of PWR. To overcome the uncertainties, a non-integer-based fractional order control method is demonstrated to control the core power of PWR. The available dynamic model of the reactor core is used in this analysis. Core power is controlled using a modified state feedback More >

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