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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Industry Update—October 2025
Here is a recap of recent industry happenings:
New international partnership to speed Xe-100 SMR deployment
X-energy, Amazon, Korea Hydro & Nuclear Power, and Doosan Enerbility have formed a strategic partnership to accelerate the deployment of X-energy’s Xe-100 small modular reactors and TRISO fuel in the United States to meet the power demands from data centers and AI. The partners will collaborate in reactor engineering design, supply-chain development, construction planning, investment strategies, long-term operations, and global opportunities for joint AI-nuclear deployment. The companies also plan to jointly mobilize as much as $50 billion in public and private investment to support advanced nuclear energy in the U.S.
Michael Pietrykowski, Carol Smidts (Ohio State)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 296-307
Hardware-in-the-loop test configurations require real-time execution speeds from their simulation components for best results. Slower-than-real-time simulations can degrade test result accuracy, completely invalidate a test, and potentially even damage the hardware component being tested; however, some simulations required for testing cannot be guaranteed to run in real time or faster-than-real-time. Thus, we developed a method to allow slower-than-real-time simulations to be used in HIL test setups. Input signals to the simulation are predicted using a simplified hardware model. The simulation uses these predicted values to run “ahead” of the hardware component in time. When a sufficient time margin is obtained, depending on the actual execution speed of the simulation, the hardware component is connected to the stored simulation results computed using the predicted inputs from the hardware model and the test commences. Simulation results are supplied to the hardware component in real time, for as long as the simulation time margin remains. A case study using a small modular reactor simulation code shows that using this method allows test lengths at least 350% longer and simulation error of 0.6% compared to 36%.