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NRC looks to leverage previous approvals for large LWRs
During this time of resurging interest in nuclear power, many conversations have centered on one fundamental problem: Electricity is needed now, but nuclear projects (in recent decades) have taken many years to get permitted and built.
In the past few years, a bevy of new strategies have been pursued to fix this problem. Workforce programs that seek to laterally transition skilled people from other industries, plans to reuse the transmission infrastructure at shuttered coal sites, efforts to restart plants like Palisades or Duane Arnold, new reactor designs that build on the legacy of research done in the early days of atomic power—all of these plans share a common throughline: leveraging work already done instead of starting over from square one to get new plants designed and built.
S. Esnouf, A. Dannoux-Papin, E. Bossé, V. Roux-Serret, C. Chapuzet, F. Cochin, J. Blancher
Nuclear Technology | Volume 208 | Number 2 | February 2022 | Pages 347-356
Technical Paper | doi.org/10.1080/00295450.2021.1896927
Articles are hosted by Taylor and Francis Online.
The Alternative Energies and Atomic Energy Commission and Orano have developed a modeling tool named the Simulation Tool Of RAdiolysis Gas Emission (STORAGE) for assessing gas generation of intermediate-level waste. The first version of this model was designed to estimate gas (more specifically hydrogen) generation by radiolysis of organic materials contained in waste packages.
To verify the validity of the model, a series of measurements was performed on U, Pu–contaminated solid waste issued from the Orano plutonium laboratories at the MELOX facility. Twenty-one drums containing technological waste (gloves, bags, filters, metallic parts, etc.) packaged inside polyvinyl chloride sleeves were set up and hydrogen production was measured over a period of more than 1 year. Several levels of contamination and organic content were studied.
STORAGE calculations are conservative and most of the time in good agreement with experimental measurements with the uncertainties. As expected, the simplest cases (organic waste or filtering media) are well described by the model. The data are obviously more widely dispersed when the waste is composed of a mixture of organic materials and metal. Nevertheless, an understanding of the waste (package composition) allows a fairly precise description and ultimately a satisfactory estimation of the hydrogen production rate.