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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.
T. Kunimaru, K. Ota (NWMO), N. Giroud, S. Vomvoris (Nagra), S. Yamada (NWMO)
Proceedings | 16th International High-Level Radioactive Waste Management Conference (IHLRWM 2017) | Charlotte, NC, April 9-13, 2017 | Pages 853-858
The site selection for a deep geological repository in Japan will be undertaken by means of a three-stage process according to the Final Disposal Act of 2000 and the Amendment to Basic Policy of May 2015. The three stage are: literature survey (LS), preliminary investigation (PI) and detailed investigation (DI). The objective of the LS stage is to select preliminary investigation areas (PIAs) on the basis of existing information on the proposed or volunteering areas and the surrounding regions, and to develop exploration programmes, including borehole investigations.
Key to the LS stage is the development of a qualified assessment basis for each area, which can support the evaluation process. The assessment basis includes a wide spectrum of empirical data from the literature - from field investigations in the areas, laboratory investigations and data from underground constructions and studies. The specific challenge at the LS stage is that the data have not been obtained under NUMO's Quality Management System (QMS).
NUMO initiated a project to develop: a) a strategy on how to evaluate, qualify and include data and information collected by third parties to NUMO’s database (Phase 1); b) practical discipline-specific quality-control procedures considering the variability of data quantity and quality (Phase 2) and application to the database (Phase 3). The results from Phase 1 are reported in this paper.