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The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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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.
Woan Hwang, Ho Chun Suk, Won Mok Jae
Nuclear Technology | Volume 95 | Number 3 | September 1991 | Pages 314-324
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT91-A34580
Articles are hosted by Taylor and Francis Online.
A comprehensive fission gas release model is developed by considering the behavior of multiple bubble sizes on the fuel grain boundary in terms of relevant physical parameters. This model takes into account bubble migration and coalescence; critical bubble size, which depends on the thermal gradient on the grain boundary; and the lenticular shape of the bubbles. Booth’s classical diffusion theory is directly adopted in the modeling of intragranular fission gas behavior. To consider the bubble drift due to the thermal gradient, those bubbles that exceed the critical bubble size are assumed to be left on the grain boundary and to migrate along the thermal gradient until they encounter free voidages. Use of this model in the KAFEPA code, which predicts the absolute magnitude and the trend of the gas release depending on power history, gives better agreement with the experimental data than the predictions of the model in the ELESIM code, which considers only a single bubble size at the grain boundary.