WebApr 6, 2024 · In a white paper titled “The Virtual Nuclear Reactor,” Siemens Digital Industries Software suggests, “By adopting a comprehensive digital twin (or virtual reactor) methodology, it is possible both to cut in half the design cycle for new nuclear technology and greatly reduce the cost of testing required to support licensing. Moreover ... WebDirector, Division of Advanced Reactors and Non-Power Production and Utilization Facilities Nuclear Reactor Regulation U.S. Nuclear Regulatory Commission Dr. Mohamed Shams joined the U.S. Nuclear Regulatory Commission (NRC) in 2007 as a civil engineer in the Office of New Reactors, where he progressed to the Chief, Structural Engineering Branch.
Digital engineering to advance nuclear energy deployment - INL
WebIn recent years, digital twin (DT) technologies have been applied in the nuclear industry both in the current light-water reactor fleet and for design of advanced reactors. The state-of-the-art survey report published by the NRC in December 2024 provides an extensive account of the DT application in the nuclear industry. WebDec 15, 2024 · The operational digital twin is tested through a real engineering problem in nuclear reactor physics i.e., reactor core simulation in the life cycle of HPR1000. Numerical results proved the efficiency and accuracy of the forward/inverse model, even with noisy observations, it is still acceptable from the engineering point view. chop my mortgage spreadsheet
Making nuclear energy cost-competitive - MIT News
WebApr 11, 2024 · Advanced Manufacturing Electric Power. A multidisciplinary team is developing digital twins of nuclear reactors with the help of a $5.2-million grant from the Department of Energy’s Advanced Research … WebJul 10, 2024 · Digital Twin-Based Asset Performance and Reliability Diagnosis for the High Temperature Gas-cooled (HTGR) Reactor Cavity Cooling System Using Metroscope On each of these projects, engineers will work with an industry partner, harnessing Argonne’s nuclear expertise to solve real-world problems in the U.S. energy industry. WebThis paper proposes an approach that combines reduced-order models with machine learning in order to create physics-informed digital twins to predict high-dimensional output quantities of interest, such as neutron flux and power distributions in nuclear reactor cores. The digital twin is designed to solve forward problems given input parameters ... chop nat pathway