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Threat analysis of offshore wind farms by Bayesian networks – a new modeling approach

Gabriel, Alexander and Tecklenburg, Babette and Guillouet, Yann and Sill Torres, Frank (2021) Threat analysis of offshore wind farms by Bayesian networks – a new modeling approach. In: ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management, pp. 174-185. 18th International Conference on Information Systems for Crisis Response and Management, 23.-26.05.2021, Blacksburg, VA (USA). ISBN 978-1-949373-61-5. ISSN 2411-3387.

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Official URL: http://idl.iscram.org/files/alexandergabriel/2021/2323_AlexanderGabriel_etal2021.pdf

Abstract

As a result of the ongoing commitment to climate protection in more and more countries and the corresponding expansion of renewable energies, the importance of renewables for the security of electricity supply is increasing. Wind energy generated in offshore wind farms already accounts for a significant share of the energy mix and will continue to grow in the future. Therefore, approaches and models for security assessment and protection against threats are needed for these infrastructures.Due to the special characteristics and geographical location of offshore wind farms, they are confronted with particular challenges. In this context, this paperoutlines how an approach for threat analysis of offshore wind farms is to be developed within the framework of the new research project "ARROWS" of the German Aerospace Center. The authors first explain thestructure of offshore wind farms and then present a possible modeling approach using Qualitative function models and Bayesian networks.

Item URL in elib:https://elib.dlr.de/143370/
Document Type:Conference or Workshop Item (Speech)
Title:Threat analysis of offshore wind farms by Bayesian networks – a new modeling approach
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gabriel, AlexanderAlexander.Gabriel (at) dlr.dehttps://orcid.org/0000-0002-9660-1366
Tecklenburg, BabetteBabette.Tecklenburg (at) dlr.dehttps://orcid.org/0000-0003-0606-0381
Guillouet, YannYann.Guillouet (at) dlr.dehttps://orcid.org/0000-0003-1866-8204
Sill Torres, FrankFrank.SillTorres (at) dlr.dehttps://orcid.org/0000-0002-4028-455X
Date:May 2021
Journal or Publication Title:ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 174-185
Editors:
EditorsEmailEditor's ORCID iD
Adrot, AnouckUNSPECIFIEDUNSPECIFIED
Grace, RobUNSPECIFIEDUNSPECIFIED
Moore, KathleenUNSPECIFIEDUNSPECIFIED
Zobel, Christopher W.UNSPECIFIEDUNSPECIFIED
ISSN:2411-3387
ISBN:978-1-949373-61-5
Status:Published
Keywords:Threat analysis, bayesian networks, process modeling, critical infrastructure
Event Title:18th International Conference on Information Systems for Crisis Response and Management
Event Location:Blacksburg, VA (USA)
Event Type:international Conference
Event Dates:23.-26.05.2021
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Bremerhaven
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures > Reslience of Maritime Systems
Deposited By: Gabriel, Alexander
Deposited On:05 Nov 2021 09:02
Last Modified:05 Nov 2021 09:02

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