| contributor author | Petkov, Gueorgui I. | |
| contributor author | Vela-Garcia, Monica | |
| date accessioned | 2019-02-28T11:05:38Z | |
| date available | 2019-02-28T11:05:38Z | |
| date copyright | 3/5/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 2332-8983 | |
| identifier other | ners_004_02_020913.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4252597 | |
| description abstract | The realistic study of dynamic accident context is an invaluable tool to address the uncertainties and their impact on safety assessment and management. The capacities of the performance evaluation of teamwork (PET) procedure for dynamic context quantification and determination of alternatives, coordination, and monitoring of human performance and decision-making are discussed in this paper. The procedure is based on a thorough description of symptoms during the accident scenario progressions with the use of thermo-hydraulic (TH) model and severe accident (SA) codes (melcor and maap). The opportunities of PET procedure for context quantification are exemplified for the long-term station blackout (LT SBO) accident scenario at Fukushima Daiichi #1 and a hypothetic unmitigated LT SBO at peach bottom #1 boiling water reactor (BWR) reactor nuclear power plants (NPPs). The context quantification of these LT SBO scenarios is based on the IAEA Fukushima Daiichi accident report, “State-of-the-Art Reactor Consequence Analysis” and TH calculations made by using maap code at the EC Joint Research Centre. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Severe Accident Context Quantification for Long-Term Station Blackout in Boiling Water Reactor Nuclear Power Plants | |
| type | Journal Paper | |
| journal volume | 4 | |
| journal issue | 2 | |
| journal title | Journal of Nuclear Engineering and Radiation Science | |
| identifier doi | 10.1115/1.4038928 | |
| journal fristpage | 20913 | |
| journal lastpage | 020913-4 | |
| tree | Journal of Nuclear Engineering and Radiation Science:;2018:;volume( 004 ):;issue: 002 | |
| contenttype | Fulltext | |