Gabriel, Alexander und Tecklenburg, Babette und Guillouet, Yann und Sill Torres, Frank (2021) Threat analysis of offshore wind farms by Bayesian networks - a new modeling approach. In: 18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021, Seiten 174-185. 18th International Conference on Information Systems for Crisis Response and Management, 2021-05-23 - 2021-05-26, Blacksburg, VA (USA). ISBN 978-194937361-5. ISSN 2411-3387.
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Offizielle URL: http://idl.iscram.org/files/alexandergabriel/2021/2323_AlexanderGabriel_etal2021.pdf
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/143370/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | Threat analysis of offshore wind farms by Bayesian networks - a new modeling approach | ||||||||||||||||||||
Autoren: |
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Datum: | Mai 2021 | ||||||||||||||||||||
Erschienen in: | 18th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2021 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Seitenbereich: | Seiten 174-185 | ||||||||||||||||||||
Herausgeber: |
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ISSN: | 2411-3387 | ||||||||||||||||||||
ISBN: | 978-194937361-5 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Threat analysis, bayesian networks, process modeling, critical infrastructure | ||||||||||||||||||||
Veranstaltungstitel: | 18th International Conference on Information Systems for Crisis Response and Management | ||||||||||||||||||||
Veranstaltungsort: | Blacksburg, VA (USA) | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 23 Mai 2021 | ||||||||||||||||||||
Veranstaltungsende: | 26 Mai 2021 | ||||||||||||||||||||
HGF - Forschungsbereich: | keine Zuordnung | ||||||||||||||||||||
HGF - Programm: | keine Zuordnung | ||||||||||||||||||||
HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||
DLR - Schwerpunkt: | keine Zuordnung | ||||||||||||||||||||
DLR - Forschungsgebiet: | keine Zuordnung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | keine Zuordnung | ||||||||||||||||||||
Standort: | Bremerhaven | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für den Schutz maritimer Infrastrukturen > Resilienz Maritimer Systeme | ||||||||||||||||||||
Hinterlegt von: | Gabriel, Alexander | ||||||||||||||||||||
Hinterlegt am: | 05 Nov 2021 09:02 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:43 |
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