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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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.
Chin-Jen Chang, Samim Anghaie
Nuclear Technology | Volume 124 | Number 3 | December 1998 | Pages 265-275
Technical Paper | Radiation Measurements and Instrumentation | doi.org/10.13182/NT98-A2925
Articles are hosted by Taylor and Francis Online.
A high-definition gamma scanning method for the near-field measurement of radionuclide inventories in a large nuclear waste barrel is presented. The method introduced is especially accurate for radionuclides with multiple gamma energy peaks. Multiple detectors positioned as closely as possible to the waste barrel are used to measure the radiation field emanating from the distributed radiation sources. The total source activity is reconstructed by using the conjugate gradient with nonnegative constraint method or the maximum likelihood expectation maximum method based on measured detector responses. The maximum measurement error bond and its associated confidence level for the developed gamma scanning system are determined statistically by performing a large number of numerical experiments that take into consideration the counting statistics, the nonuniformity of source distribution, and the heterogeneous density of the self-absorbing medium. The accuracy and reliability of the system are verified through a series of real measurements with randomly distributed 192Ir sources in a 208-litre waste barrel. The results of these measurements are in full agreement with the estimated error and the confidence level that are predicted by the numerical simulation.