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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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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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WIPP’s SSCVS: A breath of fresh air
This spring, the Department of Energy’s Office of Environmental Management announced that it had achieved a major milestone by completing commissioning of the Safety Significant Confinement Ventilation System (SSCVS) facility—a new, state-of-the-art, large-scale ventilation system at the Waste Isolation Pilot Plant, the DOE’s geologic repository for defense-related transuranic (TRU) waste in New Mexico.
Takanobu Kamei, Tadashi Yoshida
Nuclear Science and Engineering | Volume 84 | Number 2 | June 1983 | Pages 83-97
Technical Paper | doi.org/10.13182/NSE83-1
Articles are hosted by Taylor and Francis Online.
In the design of a large liquid-metal fast breeder reactor (LMFBR), the bias-factor method is usually applied to reduce the error of predicted values of neutronics parameters. These bias factors are obtained through the analysis of mock-up experiments. When there exist some differences between the reactor to be designed and its mock-up experimental system, it is impossible to be free from extrapolation errors even after the application of the bias factor. This paper presents an evaluation model for the above kind of extrapolation error, which still remains after the biasing, due to cross-section uncertainties. As an example of an application of this model, the extrapolation error of the design parameters of a 1000-MW(electric) fast breeder reactor was evaluated for the case where bias factors from the large LMFBR mock-up critical experiment, ZPPR-10D, were available. As a result, the error in keff was found to range 0.3 to 1.1% depending on how precisely the reactivity effect of higher plutonium isotopes (especially 241Pu) was predicted. The extrapolation error was predicted to be <2.5% for the control rod worth and also for the fission rate distributions of 239Pu and 238U. It was also shown that the extrapolation error for the control rod worth was reduced by use of a bias factor constructed from some different rod patterns.
