After 9 years from the accident at TEPCO Fukushima Daiichi Nuclear Power Station, the "on-site" research and development (R&D) situation has been changed into new phase. It can be considered from understanding to predicting by many direct and indirect measurements and analyses. In this presentation, nuclear data needs for 1F decommissioning are revisited according to these situation. The needs for accident evolution characteristics, criticality management, debris storage, waste management, etc. are considered with the view point of R&D on prediction what is going on and will be happened in each stage of decommissioning.
Language |
: | English |
|---|---|---|
Journal |
: | |
Volume |
: | |
Number |
: | |
Pages |
: | p.17 - 20 |
Publication Year/Month |
: | 2020/12 |
Meeting title |
: | |
Held date |
: | 2019/11 |
Location (city) |
: | 春日 |
Location (country) |
: | 日本 |
Paper URL |
: |
|
Keywords |
: | nuclear data needs; TEPCO Fukushima Daiichi Nuclear Power Station; Decommissioning; Fukushima Daiichi Nuclear Power Station Accident; 福島第一原子力発電所事故 |
Accesses |
: |
- Accesses |
|---|---|---|
Altmetrics |
: |
[CLARIVATE ANALYTICS], [WEB OF SCIENCE], [HIGHLY CITED PAPER & CUP LOGO] and [HOT PAPER & FIRE LOGO] are trademarks of Clarivate Analytics, and/or its affiliated company or companies, and used herein by permission and/or license.
