dc.contributor.advisor |
Narayana M |
|
dc.contributor.advisor |
Dodamgoda T |
|
dc.contributor.author |
Pathmika GDM |
|
dc.date.accessioned |
2017 |
|
dc.date.available |
2017 |
|
dc.date.issued |
2017 |
|
dc.identifier.citation |
Pathmika, G.D.M. (2017). Development of a dynamic risk assessment framework for LPG transportation pipelines [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/20222 |
|
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/20222 |
|
dc.description.abstract |
The present study introduces an innovative methodology for dynamic risk assessment of a
hypothetical Liquid Petroleum Gas (LPG) offloading pipeline. The study mainly focuses on
the determination of the probability of a catastrophic event dynamically, which is a major
component in risk assessment. The output of this study is an open model for dynamic risk
assessment of an LPG offloading pipeline with the potential of adopting it in any other
application.
The developed model presents the identification of the site and an analysis of the surrounding
land uses, design, and related operations. Then it identifies the potential hazards. The
traditional Bow-Tie diagram is created based on the identified risks and safety barriers. The
Bow-Tie Diagram is then converted to a Bayesian network. The Bayesian network uses
conditional probability tables which can be further improved for better reliability by
introducing updated knowledge and experience.
The method was trialled using a hypothetical scenario followed by a consequence analysis.
A jet fire simulation is done using FLACS®, which is an industrial Computational Fluid
Dynamics (CFD) code, to support the risk analysis. Financial losses connected with
environmental damage, cleanup, evacuation, and lost output are among the consequences.
The dynamic risk assessment framework presented in this study facilitates systematic
decision-making on the LPG pipeline at almost any probable event. Further, it can be trained
with experience and expert judgement |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
DYNAMIC RISK ASSESSMENT |
en_US |
dc.subject |
LPG OFFLOADING PIPELINE |
en_US |
dc.subject |
BAYESIAN NETWORK |
en_US |
dc.subject |
FLACS® |
en_US |
dc.subject |
CFD |
en_US |
dc.subject |
SUSTAINABLE PROCESS ENGINEERING - Dissertation |
en_US |
dc.subject |
CHEMICAL & PROCESS ENGINEERING - Dissertation |
en_US |
dc.title |
Development of a dynamic risk assessment framework for LPG transportation pipelines |
en_US |
dc.type |
Thesis-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc.in Sustainable Process Engineering |
en_US |
dc.identifier.department |
Department of Chemical and process Engineering |
en_US |
dc.date.accept |
2017 |
|
dc.identifier.accno |
TH4709 |
en_US |