Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network

Yang, Yi; Sørensen, John Dalsgaard

doi:10.3390/en13195108

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…The improved BN model in this study can more efficiently calculate the time-dependent availability than the method used in [12]. The significant decrease in computational time is due to no Monte Carlo simulation of time to failure of basic components and no need to search the fault tree to determine when maintenance has to be done according the prechosen decision rule.…”

Section: Discussionmentioning

confidence: 99%

“…This section mainly describes the key aspects for assessing the availability using Bayesian networks, with the focus on improvements of the BN models compared to that used in [12]. The key aspects include:…”

Section: Bayesian Network Formulationmentioning

confidence: 99%

“…For the star topology, it takes about 15 min. The original method in [12] took about 1 h for 1000 simulations. The generic trend shown in these figures is:…”

Section: Calculation Of Time-dependent Availabilitymentioning

confidence: 99%

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Availability-Based Selection of Electricity Delivery Network in Marine Conversion Systems Using Bayesian Network

Yang¹,

Nielsen²

2021

Energies

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Availability is an economically important metric used to assess the design of marine energy farms. Nowadays, three typical concepts of energy delivery network topologies have been proposed for marine energy conversion systems. Few research works assessing the availability of marine energy conversion systems have been published. Their methodology is only based upon time-consuming Monte Carlo simulations and only covers one maintenance strategy. The objective of this study is to consider different maintenance strategies and quantitatively assess the time-dependent availability of these typical energy delivery network topologies by investigating the working philosophy of these topologies and modelling the logic dependencies of them in a Bayesian network (BN). The working philosophy of each topology is investigated to obtain the logic dependencies of the units in the energy delivery network, by means of qualitative system analysis. A table-like data structure, called hierarchy, is introduced to store the information on the logic dependencies and serves as a basis for establishing the corresponding BN models. A logic gate in the hierarchy can be represented by a conditional probability table in the BN model. The availability of these topologies, as a function of time, can be estimated through the BN models. The optimal topology can be selected, based upon the time-dependent availability.

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Section: Discussionmentioning

confidence: 99%

Section: Bayesian Network Formulationmentioning

confidence: 99%

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Availability-Based Selection of Electricity Delivery Network in Marine Conversion Systems Using Bayesian Network

Yang¹,

Nielsen²

2021

Energies

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“…The knowledge and information representation model in the form of a Bayesian network is a graph that consists of nodes and inter-node relations [2]. The nodes in this case represent events.…”

Section: Introductionmentioning

confidence: 99%

The use of probabilistic networks in the analysis of risks to the components of the bus power system with hydrogen fuel cells

Kasperek

Bartnik

Marciniak

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Probabilistic networks can be a useful tool for reliability modelling and risk analysis in the operation of technical facilities. In the article, the authors present the method of using probabilistic networks in the analysis of threats to the elements of the electric bus power supply system with a hydrogen fuel cell. Both the use of probabilistic networks as a tool supporting decision-making processes and the use of the latest achievements in the field of non-emission propulsion indicate a new area of research. The article presents the construction of a hydrogen bus with particular emphasis on the hydrogen storage and transmission installation. Next one specific case is considered where there is a leak in the hydrogen system with the simultaneous appearance of an ignition initiator in the form of a short circuit in the electrical system. Authors considered Fault Tree-Event Tree method in context of Bayesian networks technology. The conducted research has shown that there is a real risk of hydrogen explosion in a hydrogen fuel cell-powered bus and that it can be accurately calculated.

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Risk analysis of collision accidents during underway STS berthing maneuver through integrating fault tree analysis (FTA) into Bayesian network (BN)

Sokukcu

Şakar

2022

Applied Ocean Research

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Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network

Cited by 5 publications

References 17 publications

Availability-Based Selection of Electricity Delivery Network in Marine Conversion Systems Using Bayesian Network

Availability-Based Selection of Electricity Delivery Network in Marine Conversion Systems Using Bayesian Network

The use of probabilistic networks in the analysis of risks to the components of the bus power system with hydrogen fuel cells

Risk analysis of collision accidents during underway STS berthing maneuver through integrating fault tree analysis (FTA) into Bayesian network (BN)

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