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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.
Iztok Tiselj, Cedric Flageul, Jure Oder (Jožef Stefan Inst), invited
Proceedings | Advances in Thermal Hydraulics 2018 | Orlando, FL, November 11-15, 2018 | Pages 1050-1065
The paper discusses the most accurate methods for description of turbulent flows: computationally very expensive Direct Numerical Simulation (DNS) and, slightly less accurate and slightly less expensive, Large Eddy Simulation (LES) method. Both methods have found the way into the nuclear thermal hydraulics as tools for studies of the fundamental mechanisms of turbulence and turbulent heat transfer. In the first Section of the paper, both methods are briefly introduced in parallel with the basic properties of the turbulent flows. The focus is on DNS method, the so-called quasi-DNS approach, and the coarsest turbulence modelling approach discussed in this work, which is still on the very small scale, wall-resolved LES. Other, coarser turbulence modeling approaches (such as wall-modelled LES, RANS/LES hybrids, or RANS) are beyond the scope of the present paper. Section 2. answers the question: "How do DNS and LES methods work?", with a short discussion of the computational requirements, numerical approaches and computational tools. Section 3. is about the interpretation of the DNS and LES results and statistical uncertainties. Sections 4. and 5. give some examples of the DNS and wall-resolved LES results relevant for nuclear thermal hydraulics. The last section lists the conclusions and some of the challenges, which might be tackled with the most accurate techniques like DNS and LES.