Abstract

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.

Highlights

  • An ever-increasing demand in energy around the world has drawn the attention ofAn ever-increasing demandresources.in energyMarine aroundenergy, the world drawn of theclean attention of entrepreneurs to clean energy as ahas resource energy, entrepreneurs to clean resources.energy, as a fuels resource of clean energy, has has seen potential to energy compete with theMarine traditional fossil [1,2,3].A wide range of seen potential compete with traditional fossil [1,2,3]

  • The electrical subsystem refers to the energy delivery netGenerally, the electrical subsystem refers to the energy delivery network

  • Based upon the improved Bayesian network (BN) models, the time-dependent availability has been calculated for the three network topologies

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Summary

Introduction

There are very few investigations into the availability of energy delivery netof marine energy systems These typical research outcomes related to availability of marine works of marine energy systems. In Rinaldi’s research works, the corrective maintenance strategy is only quantified and the MonteCarlo-based approach is a time-consuming approach An energy delivery network topology refers to the way the converters, the cables, the connections, and other electrical components are connected. Radial connection is a method where multiple devices are connected in series, with a collection point, which may be a substation, a hub or a device These typical network topologies were compared from the perspective of functionality and costs in [9,11], in which the OPEX costs were only roughly estimated through engineering judgement.

Introduction on Typical Energy Network Topologies
Bayesian Network Formulation
Bayesian Network Structure for the System
Dynamic Bayesian Network Models
Conditional Probability Tables
Decision Rules
Logic Dependencies of the Topologies
Calculation of Time-Dependent Availability
Findings
Calculation ofnetwork
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