Development of Rast-Ai: A Hybrid Nodal Diffusion/Artificial Neural Network Code for Reactor Analysis

An overview of power reactor kinetics and control in load-following operation modes

“…While the majority of the publications on PWR control methods is of academic nature, some experimental studies report practical experience with load-following operation of nuclear power plants or discuss the control methods used in practice (Sipush et al, 1976;Meyer et al, 1978;Onoue et al, 2003;Franceschini and Petrovic, 2008;Wei and Zhao, 2015;Zhang et al, 2015;Lee et al, 2020;Park et al, 2022). In the last decade, modern deeplearning artificial intelligence approaches are gaining traction also in related fault-detection (Hu et al, 2021;Naimi et al, 2022a;Kollias et al, 2022), reactor design (Dzianisau et al, 2022), fuel management (Hassan et al, 2021;Che et al, 2022), and safety analysis (Demazière, Christophe et al, 2020;Gomez-Fernandez et al, 2020;Ayodeji et al, 2022;Racheal et al, 2022). The integration with renewable energy sources and the energy storage systems are additional important emerging research fields (Denholm et al, 2012;Borowiec et al, 2019;Bragg-Sitton et al, 2020;Kim and Alameri, 2020).…”