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Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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Chicago, IL|Chicago Marriott Downtown
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Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
Yu-Wen Wang, Bau-Shei Pei, Wei-Keng Lin
Nuclear Technology | Volume 105 | Number 2 | February 1994 | Pages 253-260
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT94-A34926
Articles are hosted by Taylor and Francis Online.
A simplified model of two-phase slug flow is constructed. Model equations containing 11 parameters can describe the characteristics of slug flow completely. These equations can generally be solved by an iterative method within 15 iterations, if the relative error tolerance is chosen to be 0.1%. The model is applicable to two-phase systems with various diameters with a correction in the liquid slug void fraction. The procedures for correcting the liquid slug void fraction and for solving the model equations are also presented. Some experimental time-varying signals of slug flow are selected to be analyzed. Model calculations are compared with both previously published and new experimental data. The comparisons show that the errors in the calculated results are generally within ±10%.