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An Expert-Driven Probabilistic Assessment of the Safety and Security of Offshore Wind Farms

Ramirez Agudelo, Oscar Hernan and Köpke, Corinna and Guillouet, Yann and Schäfer-Frey, Jan and Engler, Evelin and Mielniczek, Jennifer and Sill Torres, Frank (2021) An Expert-Driven Probabilistic Assessment of the Safety and Security of Offshore Wind Farms. Energies. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en14175465. ISSN 1996-1073.

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Official URL: https://www.mdpi.com/1996-1073/14/17/5465

Abstract

Offshore wind farms (OWFs) are important infrastructure which provide an alternative and clean means of energy production worldwide. The offshore wind industry has been continuously growing. Over the years, however, it has become evident that OWFs are facing a variety of safety and security challenges. If not addressed, these issues may hinder their progress. Based on these safety and security goals and on a Bayesian network model, this work presents a methodological approach for structuring and organizing expert knowledge and turning it into a probabilistic model to assess the safety and security of OWFs. This graphical probabilistic model allowed us to create a high-level representation of the safety and security state of a generic OWF. By studying the interrelations between the different functions of the model, and by proposing different scenarios, we determined the impacts that a failing function may have on other functions in this complex system. Finally, this model helped us define the performance requirements of such infrastructure, which should be beneficial for optimizing operation and maintenance.

Item URL in elib:https://elib.dlr.de/144012/
Document Type:Article
Title:An Expert-Driven Probabilistic Assessment of the Safety and Security of Offshore Wind Farms
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ramirez Agudelo, Oscar HernanOscar.RamirezAgudelo (at) dlr.dehttps://orcid.org/0000-0002-9379-5409
Köpke, CorinnaFraunhofer Institute for High-Speed DynamicsUNSPECIFIED
Guillouet, YannYann.Guillouet (at) dlr.deUNSPECIFIED
Schäfer-Frey, JanJan.Schaefer-Frey (at) fichtner.deUNSPECIFIED
Engler, EvelinEvelin.Engler (at) dlr.dehttps://orcid.org/0000-0002-0336-9386
Mielniczek, Jenniferj.mielniczek (at) entrawind.comUNSPECIFIED
Sill Torres, FrankFrank.SillTorres (at) dlr.dehttps://orcid.org/0000-0002-4028-455X
Date:2 September 2021
Journal or Publication Title:Energies
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.3390/en14175465
Editors:
EditorsEmailEditor's ORCID iD
Baraldi, PieroUNSPECIFIEDUNSPECIFIED
Razavi-Far, RoozbehUNSPECIFIEDUNSPECIFIED
Zio, EnricoUNSPECIFIEDUNSPECIFIED
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue of ESREL2020 PSAM15
ISSN:1996-1073
Status:Published
Keywords:offshore wind farms; safety; security; Bayesian network
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Photovoltaics and Wind Energy
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Wind Energy
Location: Rhein-Sieg-Kreis
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures > Reslience of Maritime Systems
Institute for the Protection of Terrestrial Infrastructures > Detection Systems
Institute of Communication and Navigation > Nautical Systems
Deposited By: Ramirez Agudelo, Oscar Hernan
Deposited On:17 Sep 2021 13:52
Last Modified:17 Sep 2021 13:52

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