A cost optimisation model for maintenance planning in offshore wind farms with wind speed dependent failure rates

Li, Xiaodong; Song, Xiang; Ouelhadj, Djamila

Abstract

This paper presents an optimisation model for cost optimisation of maintenance at an offshore wind farm (OWF). The model is created for OWF project developers to optimise strategic resources to meet their maintenance demand. The model takes into account various maintenance categories on a full range of wind turbine components; the failure rate associated with each component is dependent on wind speed in order to consider weather uncertainty. Weibull distribution is used to predict the probability of wind speed occurring during a given period based on available historical data. The performance of the proposed optimisation model has been validated using reference cases and a UK OWF in operation. Various optimal solutions are investigated for the problems with increased and decreased mean turbine failure rates as a sensitivity test of the model.

Citation

Li, X., Song, X., & Ouelhadj, D. (2023). A cost optimisation model for maintenance planning in offshore wind farms with wind speed dependent failure rates. Mathematics, 11(13), Article 2809. https://doi.org/10.3390/math11132809

• Journal Article Type: Article
• Acceptance Date: Jun 20, 2023
• Online Publication Date: Jun 22, 2023
• Publication Date: Jun 22, 2023
• Deposit Date: Aug 11, 2021
• Publicly Available Date: Jun 22, 2023
• Journal: Mathematics
• Electronic ISSN: 2227-7390
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 13
• Article Number: 2809
• DOI: https://doi.org/10.3390/math11132809
• Keywords: Offshore wind; renewable energy; operations and maintenance (O&M); decision making; cost optimisation
• Public URL: https://uwe-repository.worktribe.com/output/6540127
• Publisher URL: https://www.mdpi.com/2227-7390/11/13/2809