A multi-criteria decision model to mitigate the operational risks of offshore wind infrastructures

M. Shafiee, A. Kolios

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)

Abstract

For many power generation systems, it is extremely important to control the likelihood as well as the consequences of potential risks during actual operation. Operational risks may result in substantial costs of repair or replacement, significant losses of power production, and catastrophic safety hazards to personnel or infrastructure. The selection of an appropriate strategy to mitigate the operational risks is a very complex and critical task for the offshore wind energy sector. In recent years, Multi-Criteria Decision Making (MCDM) approaches have gained momentum in this field. The aim of this paper is to propose a decision model based on Analytic Network Process (ANP) technique in order to select the best "risk mitigation strategy" for offshore wind infrastructures. The proposed model consists of a number of alternatives (e.g., variation of offshore site layout, improvement of maintenance services, upgrading the control and monitoring systems, and modification in design of wind turbine sub-assemblies) among which the decision maker has to select, on the basis of a finite set of criteria (e.g., safety, added value, cost, and feasibility). The model developed is applied to an offshore wind farm consisting of 30 wind turbines of 2 M W. Our findings indicate that "improving the repair and maintenance services" is chosen to be the most cost-effective approach for mitigating the operational risks of offshore wind infrastructures.

LanguageEnglish
Title of host publicationSafety and Reliability
Subtitle of host publicationMethodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014
Place of PublicationLeiden
Pages539-548
Number of pages10
Publication statusPublished - 1 Jan 2015
Externally publishedYes
EventEuropean Safety and Reliability Conference, ESREL 2014 - Wroclaw, Poland
Duration: 14 Sep 201418 Sep 2014

Conference

ConferenceEuropean Safety and Reliability Conference, ESREL 2014
CountryPoland
CityWroclaw
Period14/09/1418/09/14

Fingerprint

Wind turbines
Repair
Offshore wind farms
Costs
Wind power
Power generation
Hazards
Momentum
Decision making
Personnel
Monitoring

Keywords

  • offshore wind infrastructures
  • operational risks
  • multi-criteria decision models

Cite this

Shafiee, M., & Kolios, A. (2015). A multi-criteria decision model to mitigate the operational risks of offshore wind infrastructures. In Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014 (pp. 539-548). Leiden.
Shafiee, M. ; Kolios, A. / A multi-criteria decision model to mitigate the operational risks of offshore wind infrastructures. Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. Leiden, 2015. pp. 539-548
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Shafiee, M & Kolios, A 2015, A multi-criteria decision model to mitigate the operational risks of offshore wind infrastructures. in Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. Leiden, pp. 539-548, European Safety and Reliability Conference, ESREL 2014, Wroclaw, Poland, 14/09/14.

A multi-criteria decision model to mitigate the operational risks of offshore wind infrastructures. / Shafiee, M.; Kolios, A.

Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. Leiden, 2015. p. 539-548.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Shafiee M, Kolios A. A multi-criteria decision model to mitigate the operational risks of offshore wind infrastructures. In Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014. Leiden. 2015. p. 539-548