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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.
Takanobu Kamei, Tadashi Yoshida
Nuclear Science and Engineering | Volume 84 | Number 2 | June 1983 | Pages 83-97
Technical Paper | doi.org/10.13182/NSE83-1
Articles are hosted by Taylor and Francis Online.
In the design of a large liquid-metal fast breeder reactor (LMFBR), the bias-factor method is usually applied to reduce the error of predicted values of neutronics parameters. These bias factors are obtained through the analysis of mock-up experiments. When there exist some differences between the reactor to be designed and its mock-up experimental system, it is impossible to be free from extrapolation errors even after the application of the bias factor. This paper presents an evaluation model for the above kind of extrapolation error, which still remains after the biasing, due to cross-section uncertainties. As an example of an application of this model, the extrapolation error of the design parameters of a 1000-MW(electric) fast breeder reactor was evaluated for the case where bias factors from the large LMFBR mock-up critical experiment, ZPPR-10D, were available. As a result, the error in keff was found to range 0.3 to 1.1% depending on how precisely the reactivity effect of higher plutonium isotopes (especially 241Pu) was predicted. The extrapolation error was predicted to be <2.5% for the control rod worth and also for the fission rate distributions of 239Pu and 238U. It was also shown that the extrapolation error for the control rod worth was reduced by use of a bias factor constructed from some different rod patterns.
