Abstract
Emergent safety concerns often involve complex spatiotemporal phenomena. In addressing these concerns, the classical Probabilistic Risk Assessment (PRA) of Nuclear Power Plants (NPPs) has limitations in generating the required resolution for risk estimations. The existing dynamic PRAs have yet to demonstrate their feasibility for implementation in a plant. In addition, due to the widespread use of classical PRA in the nuclear industry and by the regulatory agency, a transition to a fully dynamic PRA would require a significant investment of resources. As a more feasible alternative, the authors have developed the Integrated PRA (I-PRA) methodology to add realism to risk estimations by explicitly incorporating time and space into underlying models of the events in the plant PRA while avoiding significant changes to its structure. In I-PRA, the failure mechanisms associated with the areas of concern (e.g., fire, Generic Safety Issue 191) were modeled in separate simulation modules, which were then integrated with the plant PRA through a probabilistic interface. This paper (i) provides theoretical foundations for the incorporation of time and space into PRA and (ii) introduces an algorithm that helps execute I-PRA in a way to gradually enhance spatiotemporal resolution of plant PRAs to efficiently address emergent safety concerns.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 405-428 |
| Number of pages | 24 |
| Journal | Reliability Engineering and System Safety |
| Volume | 185 |
| DOIs | |
| State | Published - May 1 2019 |
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Keywords
- Dynamic PRA
- Fire PRA
- Generic Safety Issue 191 (GSI-191)
- Integrated Probabilistic Risk Assessment (I-PRA)
- Nuclear promise
- Risk-informed regulation
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Industrial and Manufacturing Engineering
Cite this
An algorithm for enhancing spatiotemporal resolution of probabilistic risk assessment to address emergent safety concerns in nuclear power plants. / Bui, Ha; Sakurahara, Tatsuya; Pence, Justin; Reihani, Seyed; Kee, Ernie; Mohaghegh, Zahra.
In: Reliability Engineering and System Safety, Vol. 185, 01.05.2019, p. 405-428.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An algorithm for enhancing spatiotemporal resolution of probabilistic risk assessment to address emergent safety concerns in nuclear power plants
AU - Bui, Ha
AU - Sakurahara, Tatsuya
AU - Pence, Justin
AU - Reihani, Seyed
AU - Kee, Ernie
AU - Mohaghegh, Zahra
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Emergent safety concerns often involve complex spatiotemporal phenomena. In addressing these concerns, the classical Probabilistic Risk Assessment (PRA) of Nuclear Power Plants (NPPs) has limitations in generating the required resolution for risk estimations. The existing dynamic PRAs have yet to demonstrate their feasibility for implementation in a plant. In addition, due to the widespread use of classical PRA in the nuclear industry and by the regulatory agency, a transition to a fully dynamic PRA would require a significant investment of resources. As a more feasible alternative, the authors have developed the Integrated PRA (I-PRA) methodology to add realism to risk estimations by explicitly incorporating time and space into underlying models of the events in the plant PRA while avoiding significant changes to its structure. In I-PRA, the failure mechanisms associated with the areas of concern (e.g., fire, Generic Safety Issue 191) were modeled in separate simulation modules, which were then integrated with the plant PRA through a probabilistic interface. This paper (i) provides theoretical foundations for the incorporation of time and space into PRA and (ii) introduces an algorithm that helps execute I-PRA in a way to gradually enhance spatiotemporal resolution of plant PRAs to efficiently address emergent safety concerns.
AB - Emergent safety concerns often involve complex spatiotemporal phenomena. In addressing these concerns, the classical Probabilistic Risk Assessment (PRA) of Nuclear Power Plants (NPPs) has limitations in generating the required resolution for risk estimations. The existing dynamic PRAs have yet to demonstrate their feasibility for implementation in a plant. In addition, due to the widespread use of classical PRA in the nuclear industry and by the regulatory agency, a transition to a fully dynamic PRA would require a significant investment of resources. As a more feasible alternative, the authors have developed the Integrated PRA (I-PRA) methodology to add realism to risk estimations by explicitly incorporating time and space into underlying models of the events in the plant PRA while avoiding significant changes to its structure. In I-PRA, the failure mechanisms associated with the areas of concern (e.g., fire, Generic Safety Issue 191) were modeled in separate simulation modules, which were then integrated with the plant PRA through a probabilistic interface. This paper (i) provides theoretical foundations for the incorporation of time and space into PRA and (ii) introduces an algorithm that helps execute I-PRA in a way to gradually enhance spatiotemporal resolution of plant PRAs to efficiently address emergent safety concerns.
KW - Dynamic PRA
KW - Fire PRA
KW - Generic Safety Issue 191 (GSI-191)
KW - Integrated Probabilistic Risk Assessment (I-PRA)
KW - Nuclear promise
KW - Risk-informed regulation
UR - http://www.scopus.com/inward/record.url?scp=85059841155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059841155&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2019.01.004
DO - 10.1016/j.ress.2019.01.004
M3 - Article
VL - 185
SP - 405
EP - 428
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
SN - 0951-8320
ER -