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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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NRC commissioners talk reforms, roles at Day 1 of RIC 2026
Even a last-minute cancelation from Department of Energy Secretary Chris Wright could not derail the optimism permeating day 1 of the Nuclear Regulatory Commission’s annual Regulatory Information Conference (RIC).
The optimistic theme came up several times during the morning plenary sessions that highlighted Tuesday’s agenda. The NRC commissioners who spoke said the optimism was a result of the “nuclear renaissance” they are encountering that feels different from past nuclear-related revivals that didn’t materialize.
Sven Bader, Ashley Spry (AREVA Federal Services, LLC)
Proceedings | 16th International High-Level Radioactive Waste Management Conference (IHLRWM 2017) | Charlotte, NC, April 9-13, 2017 | Pages 647-652
A methodology is described that allows for the direct comparison of many diverse objectives with an end result of a rank-ordered evaluation of options that reflects the decision makers' preferences. This methodology, the multi-attribute utility analysis (MUA), is utilized to establish a ranking of routes and associated modes of transport (e.g., truck, rail, barge) to move used/spent nuclear fuel (UNF/SNF) from independent spent fuel storage installations (ISFSIs) to a Class I carrier. Preliminary evaluations have been performed to identify viable modes of transport from some ISFSIs where the only remaining vestige of the reactor site is the ISFSI and hence, very little transportation infrastructure remains at these “stranded” sites for performing these shipments. The MUA is a structured methodology designed to handle the trade-offs among multiple objectives (i.e., attributes) and provides a transparent, rational, and defensible analysis that is easy to explain and communicate and has been used for decades to provide logically consistent analyses of options (i.e., modes and routes) that are intended to achieve more than one objective, where no single option dominates the others on all of those objectives. The ultimate result from the MUA is a list(s) of the most to the least favored/preferred routes from the ISFSI. This paper provides an overview of the MUA methodology and provides examples of its application to several ISFSIs with shutdown reactors.