Operation and maintenance management for offshore wind farms integrating inventory control and health information
Li, Mingxin and Jiang, Xiaoli and Carroll, James and Negenborn, Rudy R. (2024) Operation and maintenance management for offshore wind farms integrating inventory control and health information. Renewable Energy, 231. 120970. ISSN 0960-1481 (https://doi.org/10.1016/j.renene.2024.120970)
Preview |
Text.
Filename: Li-etal-RE-2024-Operation-and-maintenance-management-for-offshore-wind-farms.pdf
Final Published Version License: Download (4MB)| Preview |
Abstract
Effective operation and maintenance (O&M) management is significant for enhancing the economic performance of offshore wind farms. Despite recent research progress in O&M, there remains a gap in integrating health information and spare parts inventory into decision-making processes at the scale of offshore wind farms. To bridge this gap, this paper develops an optimisation framework integrating these aspects to establish cost-effective joint maintenance and inventory policies. In the framework, a maintenance policy is firstly developed to plan maintenance actions based on component health and maintenance opportunities. Meanwhile, in order to support maintenance implementation, a multi-echelon inventory network using (,) policies is proposed to store diverse units across distinct warehouses. A genetic algorithm (GA) is then employed to identify the optimal policy, aiming to minimise overall costs. Upon developing the optimisation framework, in order to illustrate the application of the proposed approach in practice, a numerical simulation of a generic offshore wind farm in the North Sea is performed. Results demonstrate that comprehensive O&M management considering interrelationship be-tween maintenance and inventory policies reduces overall costs, showcasing its capacity in strengthening the economic performance. Finally, sensitivity analysis is performed to investigate the most influential O&M factors, providing actionable insights for O&M management.
ORCID iDs
Li, Mingxin ORCID: https://orcid.org/0000-0003-4933-3626, Jiang, Xiaoli, Carroll, James ORCID: https://orcid.org/0000-0002-1510-1416 and Negenborn, Rudy R.;-
-
Item type: Article ID code: 89933 Dates: DateEvent1 September 2024Published15 July 2024Published Online13 July 2024AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Production of electric energy or power Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
Faculty of Engineering > Electronic and Electrical EngineeringDepositing user: Pure Administrator Date deposited: 16 Jul 2024 13:46 Last modified: 01 Oct 2024 12:58 URI: https://strathprints.strath.ac.uk/id/eprint/89933