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PRESS RELEASE

GE Receives Two ARPA-E GEMINA Program Project Awards

U.S. Department of Energy Awards Two Advanced Reactor Projects Utilizing the BWRX-300 Small Modular Reactor Design
  • GE Research to lead project with Exelon Generation, Oak Ridge National Laboratory, University of Tennessee-Knoxville and GE Hitachi Nuclear Energy to develop Artificial Intelligence-enabled predictive maintenance digital twins.
  • MIT to lead project with GE Research and GE Hitachi to build a digital twin of BWRX-300 critical components.  
  • BWRX-300 SMR will serve as reference design for both projects

WILMINGTON, North Carolina and NISKAYUNA, New York—May 14, 2020—The U.S. Department of Energy has announced awards to two teams of industry experts to develop tools to transform the operations and maintenance of advanced nuclear reactors through the use of Artificial Intelligence-enabled digital twins using the GE Hitachi (GEH) BWRX-300 small modular reactor as a reference design.

GE Research and MIT have been awarded grants through the U.S. Department of Energy (DOE) Advanced Research Projects Agency-Energy (ARPA-E) Generating Electricity Managed by Intelligent Nuclear Assets (GEMINA) program to lead the project teams that will develop digital twin technology for advanced nuclear reactors utilizing artificial intelligence and advanced modeling controls.

The GE Research-led team consisting of Exelon Generation, Oak Ridge National Laboratory (ORNL), the University of Tennessee-Knoxville and GEH will build a digital twin of BWRX-300 critical components and utilize artificial intelligence predictive technologies to make risk informed decisions. Exelon, which operates the largest U.S. fleet of nuclear power plants, will provide historical data based on significant experience to inform the model and targets which are aimed at reducing the operating and maintenance costs of advanced reactors.

The MIT-led team consisting of GE Research and GEH will advance and demonstrate new predictive maintenance approaches and model-based fault system detection techniques. The digital twins will address mechanical and thermal fatigue failure modes which drive operations and maintenance activities.

“The expertise and experience of the teams coming together for these projects are truly impressive,” said Jon Ball, Executive Vice President of Nuclear Products for GEH. “The use of AI and digital twins will complement the current development of this game changing clean energy solution and enhance our ability to further reduce operating costs. We appreciate the leadership of the Department of Energy in supporting U.S. nuclear energy competitiveness through the ARPA-E program.”

Abhinav Saxena, a Senior AI Scientist at GE Research and project leader on the AI-enabled predictive maintenance digital twins project, says GE has developed and deployed well over 1.2 million digital twins within an array of products and services that span the aviation, transportation and energy sectors, including in nuclear energy. He says the team is excited to expand its application in the nuclear energy sector through both projects.

“We’re excited at the prospect of applying GE’s digital twin technology and our novel concept of Humble AI to advanced nuclear reactors,” Saxena said. “Humble AI is part of a new lexicon of AI terms emerging, as AI becomes integrated into critical industrial infrastructure where safety, reliability and performance are paramount. It will allow us to deliver improved performance and services, while maintaining and even enhancing safety and reliability.” 

Saxena noted that GE already has been piloting its Humble AI technology with wind turbines in the field and gas turbine combustion, which have both resulted in higher efficiency and energy output.  The goal is to bring those same benefits, along with reduced operational and maintenance costs and more plant automation, to the nuclear sector. The Digital Twin and Humble AI technologies developed under this program will have similar impact in the nuclear sector, moving maintenance activities from time based to condition-based maintenance and paving the path towards autonomous operations.

“This proposal builds upon cutting-edge artificial intelligence technology,” said Marilyn Kray, vice president, Strategy & Development for Exelon Generation’s nuclear fleet. “Exelon Generation is excited to support the initiative with plant data as well as utility operator experience.”

“The team assembled by GE Research enables us to make great strides forward in safe, cost-effective maintenance optimization for the future nuclear power industry, combining the state of the art BWRX-300 reactor design with lessons learned from the current fleet of large-scale BWRs as a demonstration for risk-informed decision making,” said Dr. Jamie Coble, Department of Nuclear Engineering, the University of Tennessee-Knoxville.

“Reducing operations and maintenance costs are essential to increasing the economic competitiveness of nuclear energy,” said Pradeep Ramuhalli, technical lead for ORNL. “Digital twin technology provides a means for nuclear power plants to reduce their O&M costs by enabling risk-informed decisions on plant operations, system reconfiguration, and predictive maintenance planning that optimize cost without compromising safety.”

"The Nuclear Science and Engineering department at MIT has invested a massive effort, with the support of the Department of Energy, to accelerate the transition of the nuclear industry toward high fidelity simulations in the form of computational fluid dynamics (CFD),” said Professor Emilio Baglietto, Department of Nuclear Science & Engineering, MIT. “We are thrilled to have the opportunity to work with GE, and to demonstrate how the advancement of this technology can have a tremendous impact on improving the economics of nuclear energy and support the deployment of the next generation of nuclear power stations."

The BWRX-300 is a 300 MWe water-cooled, natural circulation SMR with passive safety systems that leverages the design and licensing basis of GEH’s U.S. NRC-certified ESBWR. Through dramatic design simplification, GEH projects the BWRX-300 will require significantly less capital cost per MW when compared to other water-cooled SMR designs or existing large nuclear reactor designs.

By leveraging the existing ESBWR design certification, utilizing licensed and proven nuclear fuel designs, incorporating proven components and supply chains and implementing simplification innovations the BWRX-300 can, GEH believes, become cost-competitive with power generation from combined cycle gas plants and renewable energy platforms. As the tenth evolution of GE’s first Boiling Water Reactor (BWR) design, GEH’s BWRX-300 represents the simplest, yet most innovative BWR design since GE began commercializing nuclear reactors in 1955.

GE Hitachi continues to make significant progress in advancing this technology. In January, the company announced that it had officially begun the U.S. regulatory licensing process for the reactor with the submittal of the first licensing topical report to the Nuclear Regulatory Commission. In February, the company announced that it had made its first submittal to the Canadian Nuclear Safety Commission. In addition, several other countries including Poland, the Czech Republic and Estonia have expressed interest in the BWRX-300 as a part of their future energy mix.  

About GE Hitachi Nuclear Energy

Based in Wilmington, N.C., GE Hitachi Nuclear Energy (GEH) is a world-leading provider of advanced reactors and nuclear services. Established in 2007, GEH is a global nuclear alliance created by GE and Hitachi to serve the global nuclear industry. The nuclear alliance executes a single, strategic vision to create a broader portfolio of solutions, expanding its capabilities for new reactor and service opportunities. The alliance offers customers around the world the technological leadership required to effectively enhance reactor performance, power output and safety. Follow GEH on LinkedIn and Twitter.

About GE Research

GE Research is GE’s innovation powerhouse where research meets reality. We are a world-class team of scientific, engineering and marketing minds working at the intersection of physics and markets, physical and digital technologies, and across a broad set of industries to deliver world-changing innovations and capabilities for our customers. To learn more, visit our website at https://www.ge.com/research/.

“We’re excited at the prospect of applying GE’s digital twin technology and our novel concept of Humble AI to advanced nuclear reactors. Humble AI is part of a new lexicon of AI terms emerging, as AI becomes integrated into critical industrial infrastructure where safety, reliability and performance are paramount. It will allow us to deliver improved performance and services, while maintaining and even enhancing safety and reliability.”  -- Abhinav Saxena, a Senior AI Scientist at GE Research and project leader on the AI-enabled predictive maintenance digital twins project
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