2012
DOI: 10.2172/1057251
|View full text |Cite
|
Sign up to set email alerts
|

Early-stage quantitative risk assessment to support development of codes and standard requirements for indoor fueling of hydrogen vehicles.

Abstract: Sandia National Laboratories is developing the technical basis for assessing the risk of hydrogen infrastructure for use in the development of relevant codes and standards. The development of codes and standards is an important step in ensuring the safe design and operation of the hydrogen fuel cell infrastructure. Codes and standards organizations are increasingly using risk-informed processes to establish code requirements.Sandia has used Quantitative Risk Assessment (QRA) approaches to risk-inform safety co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
2
1

Relationship

2
6

Authors

Journals

citations
Cited by 15 publications
(14 citation statements)
references
References 17 publications
0
14
0
Order By: Relevance
“…While general QRA methods are applicable to hydrogen systems, more widespread use of QRA for code revisions has previously been limited due to gaps in available data and models relevant to hydrogen systems [31,32,33,34]. More recently, researchers have found that QRA for hydrogen applications is further limited due to the variety of models required to perform a complete QRA [34].…”
Section: Qra Methodologymentioning
confidence: 99%
See 2 more Smart Citations
“…While general QRA methods are applicable to hydrogen systems, more widespread use of QRA for code revisions has previously been limited due to gaps in available data and models relevant to hydrogen systems [31,32,33,34]. More recently, researchers have found that QRA for hydrogen applications is further limited due to the variety of models required to perform a complete QRA [34].…”
Section: Qra Methodologymentioning
confidence: 99%
“…[35,36,37,38,39,40,41] or extended QRA techniques (e.g., Bayesian Networks) [42,43] are used to model the scenarios and root causes, and various reduced-order models and CFD models are used for consequence calculations. The emergence of fast-running behavior models opens the door for use of advanced QRA approaches (i.e., dynamic PSA [probabilistic safety assessment]), including Event Sequence Diagrams [31], Discrete Dynamic Event Trees, various sampling and simulation-based QRA and PSA models [44,45,46].…”
Section: Methodology and Toolsmentioning
confidence: 99%
See 1 more Smart Citation
“…Both QRA and deterministic hydrogen behavior modeling have become valuable tools for the development and revision of hydrogen codes and standards such as NFPA 2, NFPA 55, and ISO TR-19880 [6][7][8][9][10][11][12]. However, the use of QRA in hydrogen applications currently suffers from limitations and inefficiency due to a range of factors, including wide variation in QRA and consequence modeling approaches, the use of unvalidated physics models, lack of data, and more [2,[13][14][15][16][17].…”
Section: Background and Motivationmentioning
confidence: 99%
“…For this document, the inputs are based off of a generic indoor fueling system that was designed with the National Fire Protection Association's (NFPA) requirements for hydrogen systems (NFPA 2) and industry practices. The example installation is based off of the generic indoor fueling system further documented in [1] and [3].…”
Section: Generic Indoor Fueling System Examplementioning
confidence: 99%