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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.
Bret Patrick van den Akker (ORNL)
Proceedings | 16th International High-Level Radioactive Waste Management Conference (IHLRWM 2017) | Charlotte, NC, April 9-13, 2017 | Pages 615-621
We present the analytical solution to the one-dimensional radionuclide transport equation in Laplace transform space. Our model accommodates an arbitrary-length decay chain, an arbitrary combination of host rocks (i.e., an arbitrary combination of multiply fractured and porous transport segments), and a flexible source term (i.e., an arbitrary time-dependent release mode at the entrance point to the series of transport segments). The Laplace transformed analytical solution can be numerically inverted to obtain the time-dependent concentration of the radionuclides of interest at an arbitrary down gradient location. This represents an extension of the previously1 developed model to include the feature of hydrodynamic longitudinal dispersion. This additional feature is important because hydrodynamic dispersion is known to reduce the time of first arrival in radionuclide transport models. Increased fidelity in transport pathway calculations is important for reliable performance assessment for the geological disposal of spent nuclear fuels.