The objective of the thesis is to develop a methodology for stability analysis and control, tailored to the unique characteristics of the energy conversion cycle of a Small Modular Reactor operating in cogeneration with grid service. The doctoral student will first focus on the control of the steam generator (SG) for a given technology, first with the development of a 1D dynamic model of the SG and then its flow stability analysis. Investigation of the control-command strategies will be progressively extended by coupling the GV to the energy conversion system and primary loop: the appropriate conditions for frequency control or load follow operation will be sought, in both electrical and cogeneration production modes. The approach should make it possible to quantify the gain that could be expected from advanced control techniques using machine learning in particular. Different mdeling tools will be used, including Dymola, Matlab together with some internal CEA or free tools.
The thesis benefits from a dual academic supervision. It will take place in the Innovative Nuclear System Study R&D Unit of the Nuclear Systems Research Institute at CEA Cadarache. The doctoral student will develop skills in energy conversion, thermohydraulics, control (strong component of the thesis) and artificial intelligence.