Multi-state system in a fault tree analsis of a nuclear based thermochemical hydrogen plant
dc.contributor.advisor | Naterer, Greg | |
dc.contributor.advisor | Lu, Lixuan | |
dc.contributor.author | Zhang, Yuepeng | |
dc.date.accessioned | 2008-11-21T14:48:37Z | |
dc.date.accessioned | 2022-03-29T16:34:16Z | |
dc.date.available | 2008-11-21T14:48:37Z | |
dc.date.available | 2022-03-29T16:34:16Z | |
dc.date.issued | 2008-07-01 | |
dc.degree.discipline | Mechanical Engineering | |
dc.degree.level | Master of Applied Science (MASc) | |
dc.description.abstract | Nuclear-based hydrogen generation is a promising way to supply hydrogen for this large market in the future. This thesis focuses on one of the most promising methods, a thermochemical Cu-Cl cycle, which is currently under development by UOIT, Atomic Energy of Canada Limited (AECL) and the Argonne National Laboratory (ANL). The safety issues of the Cu-Cl cycle are addressed in this thesis. An investigation of major accident scenarios shows that potential tragedies can be avoided with effective risk analysis and safety management programs. As a powerful and systematic tool, fault tree analysis (FTA) is adapted to the particular needs of the Cu-Cl system. This thesis develops a new method that combines FTA with a reliability analysis tool, multi-state system (MSS), to improve the accuracy of FTA and also improve system reliability. | en |
dc.description.sponsorship | University of Ontario Institute of Technology | en |
dc.identifier.uri | https://hdl.handle.net/10155/14 | |
dc.language.iso | en | en |
dc.subject | hydrogen plants | en |
dc.subject | thermochemical CuCI cycle | en |
dc.subject | nuclear-based hydrogen generation | en |
dc.subject | Cu-CI - - safety management | en |
dc.subject | fault tree analysis | en |
dc.subject | Cu-CI - - risk analysis | en |
dc.title | Multi-state system in a fault tree analsis of a nuclear based thermochemical hydrogen plant | en |
dc.type | Thesis | en |
thesis.degree.discipline | Mechanical Engineering | |
thesis.degree.grantor | University of Ontario Institute of Technology | |
thesis.degree.name | Master of Applied Science (MASc) |