Model for controlling the atmospheric parameters of the process box in the fabrication-refabrication module of the pilot demonstration energy complex
摘要
The Proryv project direction assumes the simulation modeling (SM) of process boxes with an inert atmosphere particularly important for the development of a digital twin for the module of fabrication-refabrication of mixed uranium-plutonium nitride (MUPN) fuel due to the pyrophoricity of the latter and high requirements for the accuracy of gas environment control.
AimTo develop a mathematical model that reproduces the dynamics of parameters of the gas environment in the process box of the fabrication-refabrication module, as well as the operation of control and emergency protection systems.
Materials and methodsKey requirements for the model include: SM of emergency operating modes in case of box depressurization, valve failure, reduction of filter efficiency; SM of automatic control and emergency protection systems; SM of dynamic changes in the parameters of the gas environment inside the process box; calculation of fluid dynamics parameters in pipeline systems. The mathematical model is based on the equations of material and heat balance, state of ideal gas, as well as on fluid dynamics calculations, including submodels of in-box gas environment, hydraulic network, valves, sensors, and controllers.
ResultsThe developed mathematical model was tested in the KT-Nimfa software package for the following scenarios: normal box operation (Ar flow rate of 3.2–6 m3/h); emergency mode (500 ppm О2 concentration of the inlet gas). The relative error in the time to reach the operating mode for chambers with a volume of 38.5 and 102 m3 is 8.3 and 6.5%, respectively. The protections in the emergency mode of more than 50 ppm O2 in the box were triggered correctly. The model was used in digitalization tasks under the Prioritet-2030 program of the National Research Tomsk Polytechnic University.
ConclusionThe simulation mathematical model is supposed to be used for optimizing the operating parameters of the MUPN fuel pellet pressing plant, debugging and modernizing control and protection algorithms, as well as training personnel. The model needs to be verified and validated on experimental data and adapted for other plants.