RWE COO: Future of offshore wind O&M is predictive, not reactive

Offshore wind operations and maintenance (O&M) have evolved from fixing individual turbines and managing single projects to optimizing performance across entire portfolios through predictive maintenance, digital tools and lifecycle asset management, according to RWE Offshore Wind's COO Thomas Michel.

Key highlights:

  • Offshore wind O&M is shifting from reactive maintenance to predictive, data-driven asset management.

  • Operators are increasingly managing offshore wind assets at the portfolio level, using digital tools and analytics to improve reliability and performance across entire fleets.

  • Technologies such as condition monitoring, AI and advanced diagnostics are helping extend asset life while reducing downtime and maintenance costs.

 

Offshore: How has RWE's approach to operations and maintenance evolved as offshore wind farms move from early-life operation into long-term asset management? 

Michel: RWE’s approach has evolved from a focus on project-specific maintenance activities for our offshore wind farms to a fleet-wide, long-term asset management model.

Maintenance campaigns offshore are increasingly delivered through standardized vessel operations, dedicated service operation vessels (SOVs), and specialized service teams—long gone are the days of relying on ad hoc solutions. 

At the same time, maintenance strategies have shifted from reactive interventions to preventive and predictive approaches focusing on the full lifetime of the offshore wind asset, where it is at in the asset lifecycle and commercial optimization, for example based on the current revenue scheme.

By leveraging operational experience and campaign data, RWE is increasingly able to anticipate potential issues before they affect asset availability or performance, thereby enhancing reliability and optimizing asset-related decisions for the optimal asset life. 

Offshore: RWE operates offshore wind projects across multiple generations of turbine technologies and markets. How have the lessons learned from managing this diverse portfolio influenced your approach to asset reliability, maintenance planning and life-cycle optimization? 

Michel: As RWE’s offshore capacity continues to grow, O&M have become key drivers of portfolio performance. Vessels, crews and onshore teams now coordinate activities across a steadily growing number of sites and assets. While technicians often spend extended periods offshore, onshore teams ensure that logistics run smoothly, maintenance strategies are synchronized across the portfolio of comparable turbine types, and that the highest safety standards are maintained.

Managing a diverse offshore wind portfolio has highlighted the importance of standardization, strategic partnerships and fleet-wide planning. Lessons learned across different turbine technologies and markets have helped RWE develop more efficient and cost-effective maintenance concepts, improve response times and optimize major component replacements. As a result, the focus has shifted from solely site-specific execution to a coordinated portfolio strategy that enhances reliability, operational efficiency and asset integrity throughout the entire asset lifecycle. 

Offshore: What role do digital tools, predictive maintenance, condition monitoring and data analytics play in improving asset performance and reducing downtime? 

Michel: Digital tools are playing an increasingly important role in maximizing asset performance and reducing downtime.

Furthermore drone-assisted inspections can improve both efficiency and safety. Inspections that previously required technicians to climb turbines and inspect every meter manually can now be supported by drones, significantly reducing time and risk. In addition, cargo drones can complement traditional logistics by increasing turbine uptime, improving safety, and reducing costs and emissions. At RWE, for example, we have successfully pioneered in a pilot project long-range autonomous cargo drone flights at two of our German offshore wind farms.

Condition monitoring systems and advanced data analytics, increasingly supported by artificial intelligence, provide valuable insights into asset health and maintenance requirements, and are core to optimizing our maintenance strategy. This allows us to take a more proactive approach to anticipating future failures, reducing unplanned downtimes and ensuring that individual works can be bundled together into coordinated campaigns that can be executed more efficiently.

About the Author

Ariana Hurtado

Ariana Hurtado

Editor-in-Chief

With more than a decade of copy editing, project management and journalism experience, Ariana Hurtado is a seasoned managing editor born and raised in the energy capital of the world—Houston, Texas. She currently serves as editor-in-chief of Offshore, overseeing the editorial team, its content and the brand's growth from a digital perspective. 

Utilizing her editorial expertise, she manages digital media for the Offshore team. She also helps create and oversee new special industry reports and revolutionizes existing supplements, while also contributing content to Offshore's magazine, newsletters and website as a copy editor and writer. 

Prior to her current role, she served as Offshore's editor and director of special reports from April 2022 to December 2024. Before joining Offshore, she served as senior managing editor of publications with Hart Energy. Prior to her nearly nine years with Hart, she worked on the copy desk as a news editor at the Houston Chronicle.

She graduated magna cum laude with a bachelor's degree in journalism from the University of Houston.

Sign up for our eNewsletters
Get the latest news and updates