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Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Finland in Front: The World’s Likely First Spent Fuel Repository Moves Toward Licensing
The year 2024 is shaping up to be a historic one for Posiva, the waste management organization owned by Finland’s two nuclear power plant utilities, Fortum and Teollisuuden Voima. The company is looking to receive regulatory approval of its operating license for the Onkalo deep geological repository for high-level radioactive waste by the end of the year.
Technical Session|Panel|Sponsored by HFICD
Wednesday, November 15, 2023|1:00–2:45PM EST|Georgetown West
Syed Bahauddin Alam (Univ. Illinois, Urbana-Champaign)
Vivek Agarwal (Idaho National Lab)
The nuclear industry, as highlighted by both the U.S. Nuclear Regulatory Commission (NRC) and the Department of Energy (DOE), has yet to fully harness the potential of recent advancements in AI/ML techniques. In this context, Digital Twin (DT) technology is poised to play a pivotal role in facilitating risk-informed decision-making. The NRC's "FY2021-23 Planned Research Activities" and "NRC Future Focused Research" identify "Methodology and Evaluation Tools for Digital Twin Applications" as a top-priority strategic area.
However, the implementation of DT in nuclear systems poses significant challenges that need to be addressed. These challenges encompass various aspects, including:
(a) Incorporating trustworthy data analytics algorithms,
(b) Dealing with noisy or erroneous data and addressing data unavailability,
(c) Quantifying uncertainties associated with DT,
(d) Ensuring robust optimization techniques, and
(e) Developing update modules in DT through the resolution of "On-the-fly Inverse Problems."
In this panel session, we will explore the enabling technologies and components required to establish DT in the nuclear industry. Our discussion will delve into the solutions for tackling the aforementioned challenges and unlocking the potential benefits of DT for nuclear systems.
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