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The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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New laws offer nuclear industry incentives for existing power plant uprates
This year, the U.S. nuclear industry received a much-needed economic boost that could help preserve operating nuclear power plants and incentivize upgrades that extend their lifespan and power output.
Signed into law in 2022, the Inflation Reduction Act offers production tax credits (PTCs) for existing nuclear power plants and either PTCs or investment tax credits (ITCs) for new carbon-free generation. These credits could make power uprates—increasing the maximum power level at which a commercial plant may operate—a much more appealing option for utilities.
J. Karlsson, I. Pázsit
Nuclear Science and Engineering | Volume 128 | Number 3 | March 1998 | Pages 225-242
Technical Paper | doi.org/10.13182/NSE98-A1953
Articles are hosted by Taylor and Francis Online.
Separation of various flux oscillation modes in boiling water reactor (BWR) noise measurements, based on flux factorization techniques (i.e., using orthogonality relations via integrals over the whole core), have been attempted in the past but without much success. One such example is the attempt made in 1990 in connection with the measurements in the Swedish Ringhals Unit 1 (Ringhals-1) BWR where both global (fundamental-mode) and regional (first-azimuthal-mode) oscillations were observed.Shown here is the reason for the failure of the earlier separation methods, that is, the presence of the local component of the noise with its known axial correlation properties. This component has been ignored in all BWR instability work so far. Further, because of the approximation of the factorization integral by a finite sum, cross-correlations between all detectors will appear in the autocorrelation of the factorized detector signals.Taking into account the properties of both the noise structure and the approximate factorization, elaboration of a factorization-based flux decomposition is possible. A phenomenological BWR noise model is used here in support of the decomposition technique. The model is also used to explain the success or failure of previous methods. The general factorization method proposed is demonstrated in various examples using the Ringhals-1 measurement data. In particular, the global and regional decay ratios are determined in a consistent way that is more general than the alternative methods used so far.