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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Latest News
IAEA again raises global nuclear power projections
Noting recent momentum behind nuclear power, the International Atomic Energy Agency has revised up its projections for the expansion of nuclear power, estimating that global nuclear operational capacity will more than double by 2050—reaching 2.6 times the 2024 level—with small modular reactors expected to play a pivotal role in this high-case scenario.
IAEA director general Rafael Mariano Grossi announced the new projections, contained in the annual report Energy, Electricity, and Nuclear Power Estimates for the Period up to 2050 at the 69th IAEA General Conference in Vienna.
In the report’s high-case scenario, nuclear electrical generating capacity is projected to increase to from 377 GW at the end of 2024 to 992 GW by 2050. In a low-case scenario, capacity rises 50 percent, compared with 2024, to 561 GW. SMRs are projected to account for 24 percent of the new capacity added in the high case and for 5 percent in the low case.
Cecilia Martin-del-Campo, Juan Luis François, Alejandra M. Barragan, Miguel A. Palomera
Nuclear Technology | Volume 157 | Number 3 | March 2007 | Pages 251-260
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT07-A3816
Articles are hosted by Taylor and Francis Online.
Construction of a fuzzy inference system for describing the objective function in a fuel lattice composition optimization problem is proposed. This technique allows for incorporating human expertise in searching for the best radial fuel enrichment and gadolinia distributions in a typical boiling water reactor fuel lattice. The optimization procedure adopted is a modified tabu search algorithm. Evaluation parameters included in the objective function are obtained by the neutronic lattice simulator HELIOS. The performance of the new objective function is compared to the objective function consisting in a single sum of individual objectives pondered by weighting factors. Results show that the fuzzy inference system performs very well for modeling the objective function in order to qualify the investigated solutions in a fuel composition lattice optimization process based on tabu search. The best solution found is a lattice with the desired neutronic characteristic.
