Tchouvelev, Andrei V., Groth, Katrina M., Benard, Pierre, Jordan, Thomas A Hazard Assessment Toolkit For Hydrogen Applications (Inproceedings) Proceedings of the 20th World Hydrogen Energy Conference (WHEC 2014), Gwangju, S. Korea, 2014.

BibTeX

@inproceedings{Tchouvelev_WHEC2014,
title = {A Hazard Assessment Toolkit For Hydrogen Applications},
author = {Andrei V Tchouvelev and Katrina M Groth and Pierre Benard and Thomas Jordan},
year = {2014},
date = {2014-06-01},
booktitle = {Proceedings of the 20th World Hydrogen Energy Conference (WHEC 2014)},
address = {Gwangju, S. Korea},
abstract = {There has been increasing interest in using simplified tools for safety assessment of available engineering solutions for hydrogen applications in lieu of significantly more time consuming and expensive tools such as computational fluid dynamics. Currently there are few existing hazard and risk assessment tools that contain models that have been developed and validated for use in small-scale hydrogen applications. However, in the past several years, there has been significant progress in developing and validating deterministic physical or engineering models for hydrogen dispersion, ignition, and flame behavior. In parallel, there has been progress in developing defensible probabilistic models for the occurrence of events such as release and ignition of hydrogen. While models and data are available, using this information is difficult due to a lack of readily available tools for integrating deterministic and probabilistic components into a single analysis framework. This paper discusses early steps initiated within IEA HIA Task 31 Hydrogen Safety in the development of an integrated toolkit for performing hazard assessment and quantitative risk assessment (QRA) on hydrogen transportation technologies and potential directions for extending the toolkit.},
keywords = {codes and standards, hazard identification, hydrogen, Hydrogen safety, infrastructure, Quantitative risk assessment (QRA), software, transportation safety},
pubstate = {published},
tppubtype = {inproceedings}
}


Abstract

There has been increasing interest in using simplified tools for safety assessment of available engineering solutions for hydrogen applications in lieu of significantly more time consuming and expensive tools such as computational fluid dynamics. Currently there are few existing hazard and risk assessment tools that contain models that have been developed and validated for use in small-scale hydrogen applications. However, in the past several years, there has been significant progress in developing and validating deterministic physical or engineering models for hydrogen dispersion, ignition, and flame behavior. In parallel, there has been progress in developing defensible probabilistic models for the occurrence of events such as release and ignition of hydrogen. While models and data are available, using this information is difficult due to a lack of readily available tools for integrating deterministic and probabilistic components into a single analysis framework. This paper discusses early steps initiated within IEA HIA Task 31 Hydrogen Safety in the development of an integrated toolkit for performing hazard assessment and quantitative risk assessment (QRA) on hydrogen transportation technologies and potential directions for extending the toolkit.

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Welcome to the SyRRA Lab

The Systems Risk and Reliability Analysis (SyRRA) Lab, directed by Dr. Katrina M. Groth, conducts research to address emerging safety, reliability and security issues for engineered systems, with primary applications in energy and transportation. Our multi-disciplinary research involves integrating information, data, statistics, and models from multiple domains to understand the causes of risk and failure of systems.

We leverage state-of-the-art computational tools and Bayesian methods to develop scientific, evidence-based models, and we add human-focused thinking to understand the needs of decision makers and use those models and data to support decision making for problems with many types of uncertainty.