Operational and maintenance (O&M) expenses represent nearly 30% of the total lifecycle cost of offshore wind farms, placing significant pressure on project profitability. The newly developed digital twin platform tackles this challenge by enabling predictive maintenance and smarter operational planning.
Using Fathom’s proprietary algorithms and sensor integration, the platform processes large datasets in near real time, delivering actionable insights through a user-friendly 3D interface and role-specific dashboards. The result is a reduction in unplanned downtime and better-informed asset management strategies.
Beyond day-to-day optimization, the platform establishes a feedback mechanism that informs the design of future offshore infrastructure. Over time, engineers can leverage historical performance data to refine design choices, boosting both structural resilience and energy output in new projects.
This ongoing data analysis capability positions the digital twin as a strategic tool for continuous improvement in offshore wind engineering and development.
The collaboration brought together CGI’s expertise in digital architecture with Fathom’s deep background in offshore and subsea structural engineering. CGI played a key role in designing a scalable and secure platform infrastructure, enabling the level of computational efficiency required for high-frequency data processing in offshore environments.
This joint effort was partially funded by Scottish Enterprise and reflects the growing demand for industrial-grade digital solutions that combine advanced technology with sector-specific knowledge.
The platform is developed in line with CGI’s responsible AI framework, ensuring ethical data use while maintaining transparency and control over automated processes.
