Cost-based dynamic risk analysis of offshore wind turbines
Cost-based dynamic risk analysis of offshore wind turbines
This paper proposes a cost-based dynamic risk model for offshore wind turbines, leveraging reliability and maintenance data from real offshore wind farms. The model integrates information on wind farm configurations into failure cost modelling and as a basis of that quantifies time-varying failure probabilities and consequences of onsite failures. The model enables dynamic and comparable risk assessment among various offshore wind farms. Results reveal that the auxiliary system represents the highest economic risk, particularly during winter months, and that increasing the distance to the onshore maintenance base leads to a greater rise in system and component risk than simply increasing turbine capacity. The feasibility and advantages of the proposed method are validated through systematic comparative analysis with existing approaches. Overall, this research provides a robust framework for cost-based dynamic risk analysis, supporting economically informed decision-making and season-specific maintenance strategies for offshore wind farms.
Failure Cost, Failure probability, Offshore wind turbine, Risk analysis
Li, Ruoxuan
f39fe66b-ba10-43ae-b187-3501d68ed42c
Kong, Xiangyu
365cef5b-b493-49fc-be25-7366acc94ed9
Li, He
27af6051-6630-47e6-a738-30b4455cd47c
Yang, Zaili
82d4eebc-4532-4343-8555-35169e79bb6d
Gkantou, Michaela
e91cc83a-e415-44f2-a616-b88e41049fdf
Ye, Hong-Xu
cd39b379-3ab2-4cf1-91b3-d8414de9b904
Li, Huanhuan
5e806b21-10a7-465c-9db3-32e466ae42f1
Wang, Jin
b92c8199-50d0-44ec-891a-ba2d367bf298
1 May 2026
Li, Ruoxuan
f39fe66b-ba10-43ae-b187-3501d68ed42c
Kong, Xiangyu
365cef5b-b493-49fc-be25-7366acc94ed9
Li, He
27af6051-6630-47e6-a738-30b4455cd47c
Yang, Zaili
82d4eebc-4532-4343-8555-35169e79bb6d
Gkantou, Michaela
e91cc83a-e415-44f2-a616-b88e41049fdf
Ye, Hong-Xu
cd39b379-3ab2-4cf1-91b3-d8414de9b904
Li, Huanhuan
5e806b21-10a7-465c-9db3-32e466ae42f1
Wang, Jin
b92c8199-50d0-44ec-891a-ba2d367bf298
Li, Ruoxuan, Kong, Xiangyu, Li, He, Yang, Zaili, Gkantou, Michaela, Ye, Hong-Xu, Li, Huanhuan and Wang, Jin
(2026)
Cost-based dynamic risk analysis of offshore wind turbines.
Applied Ocean Research, 170, [105057].
(doi:10.1016/j.apor.2026.105057).
Abstract
This paper proposes a cost-based dynamic risk model for offshore wind turbines, leveraging reliability and maintenance data from real offshore wind farms. The model integrates information on wind farm configurations into failure cost modelling and as a basis of that quantifies time-varying failure probabilities and consequences of onsite failures. The model enables dynamic and comparable risk assessment among various offshore wind farms. Results reveal that the auxiliary system represents the highest economic risk, particularly during winter months, and that increasing the distance to the onshore maintenance base leads to a greater rise in system and component risk than simply increasing turbine capacity. The feasibility and advantages of the proposed method are validated through systematic comparative analysis with existing approaches. Overall, this research provides a robust framework for cost-based dynamic risk analysis, supporting economically informed decision-making and season-specific maintenance strategies for offshore wind farms.
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More information
Accepted/In Press date: 31 March 2026
e-pub ahead of print date: 4 April 2026
Published date: 1 May 2026
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Publisher Copyright:
© 2026 The Authors
Keywords:
Failure Cost, Failure probability, Offshore wind turbine, Risk analysis
Identifiers
Local EPrints ID: 511431
URI: http://eprints.soton.ac.uk/id/eprint/511431
ISSN: 0141-1187
PURE UUID: fbfc0c30-8714-4d03-8128-f273590e09c6
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Date deposited: 14 May 2026 16:37
Last modified: 15 May 2026 02:13
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Contributors
Author:
Ruoxuan Li
Author:
Xiangyu Kong
Author:
He Li
Author:
Zaili Yang
Author:
Michaela Gkantou
Author:
Hong-Xu Ye
Author:
Huanhuan Li
Author:
Jin Wang
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