Advanced Operation & Maintenance Techniques Implemented in the Xe-100 Plant Digital Twin to Reduce Fixed O&M Cost

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Rockville, Maryland
Project Term:
01/05/2021 - 10/07/2023

Technology Description:

X-energy’s digital twin project aims to reduce the fixed O&M cost of its advanced nuclear reactor design to $2/MWh. The project will use human factors engineering, probabilistic risk assessment, hazard analysis, and security and maintenance evaluations to identify areas for optimization. X-energy will develop innovative ways to leverage advanced technologies—including automation, robotics, remote and centralized maintenance, and monitoring—to optimize staffing plans while ensuring optimal plant operation. The team will develop two virtual modeling frameworks to evaluate and validate these solutions. X-energy’s Immersive Environment Toolset is a multi-disciplinary 3D model that, when combined with virtual reality, will test maintenance concepts and techniques and optimize maintenance and security staff. The digital twin framework synthesizes information from the operating plant, past operating history, and planned future evolutions as well as assimilating data from plants across the fleet to provide a holistic understanding of the plant. This includes the health and remaining lifetime of critical plant components and identifies predictive maintenance needs of physical assets.

Potential Impact:

The program goal is to reduce fixed O&M costs from ~13 $/MWh in the current fleet to ~2 $/MWh in the advanced fleet. Benefits include:


Establishing U.S. advanced reactor technological leadership and improving U.S. energy security with safe, reliable, dispatchable power for a robust and resilient electric power system;


Reducing energy-related emissions with a competitive, carbon-free electricity source; and


Increasing productivity and creating a competitive edge for advanced reactors.


ARPA-E Program Director:
Dr. Jenifer Shafer
Project Contact:
Dr. Eben Mulder
Press and General Inquiries Email:
Project Contact Email:


Sandia National Laboratory
North Carolina State University

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