Multi-criteria risk assessment approach for components risk ranking - the case study of an offshore wave energy converter

Uzoma Okoro, Athanasios Kolios, Lin Cui

Research output: Contribution to journalArticle

12 Citations (Scopus)
14 Downloads (Pure)

Abstract

Experts' judgement is employed in offshore risk assessment because reliable failure data for quantitative risk analysis are scarce. The challenges with this practice lies with knowledge-based uncertainties which renders risk expression and estimation, hence components' risk-based prioritisation, subjective to the assessor - even for the same case study. In this paper, a new risk assessment framework is developed to improve the fidelity and consistency of prioritisation of components of complex offshore engineering systems based on expert judgement. Unlike other frameworks, such as the Failure Mode and Effect Criticality Analysis, it introduces two additional dimensions: variables and parameters, to allow more effective scoring. These additional dimensions provide the much needed and uniform information that will assist experts with the estimation of probability of occurrence, severity of consequence and safeguards, herein referred to as 3-D methodology. In so doing, it achieves a more systematic approach to risk description and estimation compared to the conventional Risk Priority Number (RPN) of FMECA. Finally, the framework is demonstrated on a real case study of a wave energy converter (WEC) and conclusions of the assessment proved well in comparison and prioritisation.

Original languageEnglish
Pages (from-to)21-39
Number of pages19
JournalInternational Journal of Marine Energy
Volume17
Early online date2 Dec 2016
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • condition-based risk assessment
  • multi-criteria risk assessment
  • risk estimation
  • wave energy converter

Fingerprint Dive into the research topics of 'Multi-criteria risk assessment approach for components risk ranking - the case study of an offshore wave energy converter'. Together they form a unique fingerprint.

  • Cite this