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Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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Latest News
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.
Magdi Ragheb, Otto Lazareth
Fusion Science and Technology | Volume 6 | Number 2 | September 1984 | Pages 195-224
Technical Paper | Blanket Engineering | doi.org/10.13182/FST84-A23153
Articles are hosted by Taylor and Francis Online.
Student's t-distribution is used for the direct estimation of the modeling and geometrical perturbations in the Monte Carlo simulation of fusion blankets. A test of hypothesis is carried out for the equivalence of the means for the reference and perturbed systems at different confidence levels. If the test is failed, intervals for the difference of means or perturbation can be directly deduced. No variance reduction is attempted in the application of this methodology. Application of the methodology to the neutronic and photonic analysis of the conceptual HYFIRE high-temperature process heat fusion reactor blanket is carried out. The use of a two-dimensional model for the analysis versus one-dimensional models leads to differences in the estimated system parameters (e.g., breeding ratio) ranging from 1.5 to 7% at the 70% confidence level. Accounting for the penetrations, using three- versus two-dimensional models, affects those system parameters in the range of 12.8 to 20.9% at the same confidence level. These uncertainties are judged significantly large and need to be accounted for in future reactor designs.