Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network

Yi Yang*, John Dalsgaard Sørensen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

3 Citations (Scopus)
23 Downloads (Pure)

Abstract

This research work proposes a novel approach to estimate probabilities of availability states of the energy transfer network in marine energy conversion subsystems, using Bayesian Networks(BNs). The logical interrelationships between units at different level in this network can be understood through qualitative system analysis, which then can be modeled by the fault tree (FT). The FT can be
mapped to a corresponding BN, and the condition probabilities of nodes can be determined based on the logic structure. A case study was performed to demonstrate how the mapping is implemented, and the probabilities of availability states were estimated. The results give the probability of each availability state as a function of time, which serves as a basis for choosing the optimal design solution.
Original languageEnglish
Article number5108
JournalEnergies
Volume13
Issue number19
Pages (from-to)5108-5128
ISSN1996-1073
DOIs
Publication statusPublished - 1 Oct 2020

Keywords

  • Availability
  • Bayesian Network
  • Energy transfer subsystem
  • Fault tree
  • Mapping algorithm
  • Marine energy conversion systems

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