Imagine having a high-tech flight simulator, but for a wind farm. It lets investors test how different weather patterns, part failures, and electricity prices affect their profits before they spend a dime. It's like a digital crystal ball that helps decide where to build and how to keep turbines running smoothly.
Wind farm investors struggle with complex, fragmented data regarding energy production, maintenance costs, and grid requirements, making investment decisions risky and operational costs high.
A cybersecure, open-source Digital Twin consisting of four integrated platforms covering investment conditions, component CAPEX, weather-based production, and predictive maintenance.
If you are an investment fund dealing with uncertain returns on wind assets — this project developed a Digital Twin that integrates pricing dynamics and energy demand to guide investment decisions. It helps estimate CAPEX and project future energy production.
If you are a farm operator dealing with unexpected turbine breakdowns — this project developed a maintenance and risks platform that uses predictive methods to anticipate failures. This allows you to optimize OPEX by fixing parts before they break.
If you are a grid provider dealing with unstable energy supply from renewables — this project developed a platform focusing on grid requisites and ancillary services. It provides real-time energy production projections based on weather and wind dynamics.
Based on available project data, the Digital Twin is designed to be open-source, which typically implies no licensing fees for the core software, though specific implementation costs are not listed.
Yes, the project includes a validation stage (M25-M42) where the system will be tested with real wind energy farms from the industry to prove its capabilities.
The project objective explicitly states the development of an open-source Digital Twin, suggesting a non-proprietary licensing approach for the software foundations.
The architecture specifically includes cybersecurity protocols and data modeling standards to ensure the Digital Twin is cybersecure.
The project runs from 2024-07-01 to 2027-12-31, with the final validation stage occurring between months 25 and 42.
The consortium is heavily industry-driven with a 73% industry ratio, comprising 11 companies and 4 SMEs across 9 countries. This strong commercial presence, combined with 3 universities and 1 research center, suggests the output is designed for immediate market utility rather than theoretical research.
Contact RELIABILITY AND SAFETY TECHNICAL CENTER in Belgium
Contact us to connect with the TWINVEST consortium for early access to the open-source twin.
