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A Method for Guided Hazard Identification and Risk Mitigation for Offshore Operations ,

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Computer Safety, Reliability, and Security (SAFECOMP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7612))

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Abstract

One of the effects of the radically changing energy market is that more and more offshore wind turbines are being constructed. To meet the increasing demand for renewable energy, many new companies with different levels of experience are entering the market. As the construction and maintenance of large offshore wind farms is a complex task, safety aspects of these operations are of crucial importance to avoid accidents. To this end, we introduce a method that assists in (1) identifying and precisely describing hazards of a scenario of an offshore operation, (2) quantifying their safety impact, and (3) developing risk mitigation means. Based on a guided hazard identification process, a formalization of hazardous scenarios will be proposed that unambiguously describes the risks of a given offshore operation. We will demonstrate the feasibility of our approach on a specific offshore scenario.

This work was partially supported by the European Regional Development Fund (ERDF) within the project Safe Offshore Operations (SOOP), http://soop.offis.de/ .

This work was partially supported by European Commission for funding the Large-scale integrating project (IP) proposal under the ICT Call 7 (FP7-ICT-2011-7) Designing for Adaptability and evolutioN in System of systems Engineering (DANSE) (No. 287716).

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Läsche, C., Böde, E., Peikenkamp, T. (2012). A Method for Guided Hazard Identification and Risk Mitigation for Offshore Operations , . In: Ortmeier, F., Daniel, P. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2012. Lecture Notes in Computer Science, vol 7612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33678-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-33678-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33677-5

  • Online ISBN: 978-3-642-33678-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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