Ramirez Agudelo, Oscar Hernan und Köpke, Corinna und Sill Torres, Frank (2020) Bayesian Network Model for Accessing Safety and Security of Offshore Wind Farms. In: 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020. Research Publishing. 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL 2020 PSAM 15), 2020-11-01 - 2020-11-05, Venice, Italy. doi: 10.3850/978-981-14-8593-0_5799-cd. ISBN 978-981148593-0.
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Offizielle URL: https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/5799.pdf
Kurzfassung
The offshore wind industry experience a rising importance for the worldwide energy production, which is accompanied by increasing amount of wind turbines and Offshore Wind Farms (OWFs). However, due to its harsh environment and its role for energy provision, OWFs are confronted with several threats that are impacting its safety and security. Consequently, decision making at design as well as run time plays an important role for providing safe and secure operation in OWFs. We propose in this work the application of a Bayesian Network (BN) for a high-level representation of the safety and security state of an OWF. The developed BN-model is based on the safety and security goals and related functions defined in Kopke et al. (2019). The derived model enables a user to analyze the overall importance of high impact functions, like compliance, environmental protection, supply reliability or accident prevention. Obtained results indicate that the proposed BN-model enables decision makers to explore cross-system interrelations, and thus, to define requirements for implementations on lower design levels.
elib-URL des Eintrags: | https://elib.dlr.de/140545/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Bayesian Network Model for Accessing Safety and Security of Offshore Wind Farms | ||||||||||||||||
Autoren: |
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Datum: | 15 Juli 2020 | ||||||||||||||||
Erschienen in: | 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.3850/978-981-14-8593-0_5799-cd | ||||||||||||||||
Herausgeber: |
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Verlag: | Research Publishing | ||||||||||||||||
ISBN: | 978-981148593-0 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Offshore Wind Farms, Safety, Security, Bayesian Network | ||||||||||||||||
Veranstaltungstitel: | 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL 2020 PSAM 15) | ||||||||||||||||
Veranstaltungsort: | Venice, Italy | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 1 November 2020 | ||||||||||||||||
Veranstaltungsende: | 5 November 2020 | ||||||||||||||||
Veranstalter : | Enrico Zio, Terje Avem, Piero Baraldi, Francesco Di Maio of the Energy Department, Politecnico di Milano | ||||||||||||||||
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: | Rhein-Sieg-Kreis | ||||||||||||||||
Institute & Einrichtungen: | Institut für den Schutz terrestrischer Infrastrukturen > Detektionssysteme Institut für den Schutz terrestrischer Infrastrukturen Institut für den Schutz maritimer Infrastrukturen > Resilienz Maritimer Systeme Institut für den Schutz maritimer Infrastrukturen | ||||||||||||||||
Hinterlegt von: | Ramirez Agudelo, Oscar Hernan | ||||||||||||||||
Hinterlegt am: | 22 Jan 2021 12:56 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:41 |
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