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DOE announces Genesis Mission request for applications
Ian Buck, Nvidia’s vice president of hyperscale and HPC computing (left), and Darío Gil, DOE Under Secretary for Science and Genesis Mission lead, at the Nvidia GPU Technology Conference. (Photo: Nvidia)
Department of Energy Under Secretary for Science and Genesis Mission lead Darío Gil participated in a session at the Nvidia GPU Technology Conference on March 17 that coincided with the announcement of the DOE’s $293 million Genesis Mission request for applications, which invites interdisciplinary teams to submit ideas for projects addressing over 20 of Genesis’s stated national challenges, several of which focus on accelerating nuclear research and nuclear energy output.
“We seek breakthrough ideas and novel collaborations leveraging the scientific prowess of our national laboratories, the private sector, universities, and science philanthropies,” said Gil.
Taeseung Lee, Richard B. Vilim (ANL)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 209-221
The Supervisory Control System (SCS) provides overall coordination of the plant actuators that includes automatically regulating process variables so that performance goals are safely met for all operating modes. The system during normal electric power production operates through a hierarchical structure with steam demand supplied as an input at the top level, and based on this value, coordinated set points are issued to lower level sub-system controllers. Through the use of the Supervisory Control System, hot-side temperatures can be maintained near-constant during transients so that thermal fatigue is significantly reduced from otherwise. The design strategy for the control system regards the plant response to a change in electric generator load as consisting of two components: steady-state and transient. There is the equilibrium state the plant will reach in asymptotic time (steady-state) in response to the changed condition. The steady-state control algorithm, or Load Schedule as it is known, manages steady-state temperatures. There is the dynamic component of the response (transient) which can be regarded as superimposed on the asymptotic state. The Single-Input Single-Output (SISO) Controllers manage the dynamic response component. In this work, the Supervisory Control System is designed for electric power operation of a pool-type metallic-fueled Sodium-cooled Fast Reactor (SFR). 10% step and 5%/min ramp load change cases were simulated with a one-dimensional system analysis code to assess the performance of the SISO controllers.