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2025 ANS Winter Conference & Expo
November 8–12, 2025
Washington, DC|Washington Hilton
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Latest News
Bipartisan bill aims to promote nuclear fusion development
Curtis
Cantwell
Sens. Maria Cantwell (D., Wash.) and John Curtis (R., Utah) have introduced a bill that would enable nuclear fusion energy technologies to have access to the federal advanced manufacturing production tax credit.
The companion version of the bill was introduced in the House by Reps. Carol Miller (R., W.Va.), Suzan DelBene (D., Wash.), Claudia Tenney (R., N.Y.), and Don Beyer (D., Va.)
The Fusion Advanced Manufacturing Parity Act extends the federal advanced manufacturing production credit (45X) by adding a 25 percent tax credit for companies that are domestically manufacturing fusion energy components.
Joonhong Ahn, Myeongguk Cheon
Nuclear Technology | Volume 156 | Number 3 | December 2006 | Pages 303-319
Technical Paper | Radioactive Waste Management and Disposal | doi.org/10.13182/NT06-A3793
Articles are hosted by Taylor and Francis Online.
A linear programming approach has been developed to determine maximum mass loading of radionuclides in vitrified high-level waste (HLW). Linear approximation for the centerline temperature of vertically stacked cylindrical HLW canisters has been developed by assuming constant heat flux from a canister, steady-state heat transfer, natural convection, and by neglecting radiation effects. With the linear formula for the centerline temperature, it has been demonstrated that maximum radionuclide mass loading can be determined by the linear programming model conservatively. A numerical result for vitrification of HLW from PUREX reprocessing of pressurized water reactor spent fuel indicates that the maximum temperature constraint is one of the essential constraints in determining the feasible solution space for optimization if the heat emission from the waste is in a certain range (between 11.2 and 24.5 W/kg in this example).The linear programming model can be utilized to link various fuel cycle models and repository performance models in a consistent and quantitative manner.