Multi-dimensional resilience modelling framework for offshore wind farms under operational and extreme disruptions

Read full text
Authors: Jingyi Wu, C. Guedes Soares
Cited by: 3
References: 72

Abstract

This paper develops a multi-dimensional resilience modelling framework for offshore wind farms under disruption, integrating technical, organisational, functional and economic dimensions. The framework clarifies the comprehensive meaning of resilience on offshore wind farms, integrating temporal (pre-, during-, and post-disruption), spatial (component, turbine, and farm), and complex dimensions. Building on this foundation, the resilience of offshore wind farms under operational and extreme disruptions has been modelled to evaluate the system's capacities, including robustness, rapidity, productivity and economic efficiency in different dimensions. It also considers various uncertainties, including environment, load, fatigue, equipment and material, personnel, mechanical, and structural attributes. Finally, a case study has been presented to illustrate the feasibility of the proposed modelling methodology, demonstrating that incorporating organisational, functional, and economic aspects alongside technical ones provides a more realistic assessment of offshore wind farm resilience. The work contributes to enriching the conceptualisation of offshore wind farm resilience. It establishes a comprehensive framework for resilience modelling, with great potential to support both operational decision-making and long-term planning.

Fields of Study & Subjects

Infrastructure Resilience and Vulnerability Analysis Power System Reliability and Maintenance Supply Chain Resilience and Risk Management

Publication details

Journal / source
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Volume
230
Pages
116667–116667
Publication date
13 January 2026
Language
EN