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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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GAO: Clarification of HLW definition could save DOE billions
A clearer definition of what constitutes high-level radioactive waste could save the Department of Energy’s Office of Environmental Management “tens of billions of dollars” in waste management costs and accelerate its cleanup schedule by decades, according to a report by the U.S. Government Accountability Office.
DOE-EM’s efforts to manage waste resulting from legacy spent nuclear fuel reprocessing have been hindered for decades by the ambiguity of the statutory definition of HLW as laid out in the Atomic Energy Act and Nuclear Waste Policy Act, the report states. While admitting that the DOE has taken steps to overcome this ambiguity, the GAO says that the department has not fully evaluated all available opportunities to treat and dispose of waste more economically as either transuranic or low-level radioactive waste.
Technical Session
Thursday, May 19, 2022|10:15AM–12:00PM EDT|Ellwood
Session Chair:
Jaakko Leppänen
Alternate Chair:
Nathan J. Roskoff
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Reduced Order Modeling of Neutron Transport Using Monte Carlo Simulations with Matrix Sketching
Christophe Murphy (Jacobs), David P. Griesheimer (Naval Nuclear Laboratory)
Paper
Alpha-Eigenvalue Monte Carlo Neutron Transport Calculations with SCONE
Saad Islam (Univ. Cambridge), Paul Cosgrove (Univ. Cambridge), Valeria Raffuzzi (Univ. Cambridge)
A Programmatic Metamodel-Driven Modeling Paradigm for MCNP
Peter J. Kowal (Rensselaer Polytechnic Institute), Camden E. Blake (Rensselaer Polytechnic Institute), Kurt A. Dominesey (Rensselaer Polytechnic Institute), Wei Ji (Rensselaer Polytechnic Institute)
A Monte Carlo Transient Multilevel Implementation Applied to the C5G7-TD3 Benchmark
Evan S. Gonzalez (Univ. Michigan), Brian C. Kiedrowski (Univ. Michigan)
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