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

Author

Listed:
  • Yi Yang

    (Department of the Built Environment, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark)

  • Jannie Sønderkær Nielsen

    (Department of the Built Environment, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark)

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.

Suggested Citation

  • Yi Yang & Jannie Sønderkær Nielsen, 2021. "Availability-Based Selection of Electricity Delivery Network in Marine Conversion Systems Using Bayesian Network," Energies, MDPI, vol. 14(12), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3574-:d:575726
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    References listed on IDEAS

    as
    1. Yi Yang & John Dalsgaard Sørensen, 2020. "Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network," Energies, MDPI, vol. 13(19), pages 1-27, October.
    2. Mustapa, M.A. & Yaakob, O.B. & Ahmed, Yasser M. & Rheem, Chang-Kyu & Koh, K.K. & Adnan, Faizul Amri, 2017. "Wave energy device and breakwater integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 43-58.
    3. Giovanni Rinaldi, 2020. "Offshore Renewable Energy," Chapters, in: Mansour Al Qubeissi & Ahmad El-Kharouf & Hakan Serhad Soyhan (ed.), Renewable Energy - Resources, Challenges and Applications, IntechOpen.
    4. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    5. John Warnock & David McMillan & James Pilgrim & Sally Shenton, 2019. "Failure Rates of Offshore Wind Transmission Systems," Energies, MDPI, vol. 12(14), pages 1-12, July.
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