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WIPP’s SSCVS: A breath of fresh air
This spring, the Department of Energy’s Office of Environmental Management announced that it had achieved a major milestone by completing commissioning of the Safety Significant Confinement Ventilation System (SSCVS) facility—a new, state-of-the-art, large-scale ventilation system at the Waste Isolation Pilot Plant, the DOE’s geologic repository for defense-related transuranic (TRU) waste in New Mexico.
Nam Zin Cho, Lawrence M. Grossman
Nuclear Science and Engineering | Volume 83 | Number 1 | January 1983 | Pages 136-148
Technical Paper | doi.org/10.13182/NSE83-A17995
Articles are hosted by Taylor and Francis Online.
A simple core control model is developed for the control of xenon spatial oscillations in load following operations of a current-design nuclear pressurized water reactor. The model is formulated as a linear-quadratic tracking problem in the context of modern optimal control theory, and the resulting two-point boundary problem is solved directly by the techniques of initial value methods. The system of state equations is composed of the one-group diffusion equation with temperature and xenon feedbacks, the iodine-xenon dynamics equations, and an energy balance relation for the core. Control is via full-length and part-length control rod banks, boron, and coolant inlet temperature. The system equations are linearized around an equilibrium state, which is an eigen-solution of the nonlinear static equations with feedback. The nonlinear eigenvalue problem is shown to have a unique positive solution under certain conditions by using the bifurcation theory, the solution being obtained by an iteration based on the use of monotone operators. A modal expansion reduces the linearized equations to a lumped parameter system. Minimization of an objective functional that expresses tracking the load with small control effort leads to a stiff two-point boundary value problem with boundary layers at both initial and final times, which is solved numerically. In a number of cases, results show that the optimal solution closely follows the desired load demand and maintains the desired power distribution with a small control effort.