Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins
The ICONIC project is funded by the European Union's Horizon Europe Research and Innovation Actions, the UKRI Horizon Europe Guarantee scheme, and Innossuisse.
The consortium aims to develop innovative digital and physical tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. The proposed integrated control solutions will be demonstrated by an extensive validation study via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data, and real-world wind farm field tests.
Integrated Wind Farm Control
AI-based, data-powered, physics-informed
Improve whole farm's operation efficiency
More stable, resilient, secure, reliable
Open source
Digital Twins
Control enhancement
Awareness
Hybrid: physics + data
Open source
Next-Gen Wind Farm Sim Tools
AI + CFD
Real-time
High-fidelity flow features
Open source
AI-Powered Lifetime Management
Data-informed
Digital twin and control integrated
LCOE reduction
Validations
Field tests at CPW's wind farm
Historical data at BP and CPW
Experiments with a national-level wind tunnel
Experiments with test rigs
ICONIC’s research objectives are:
Develop new wind farm control tools to improve wind farm operations leveraging AI innovations.
Investigate turbine control solutions with load-reduction abilities to deliver farm-wide objectives.
Develop digital twins and physical tools for awareness and control enhancement considering remaining useful life assessment of wind turbine key components.
Validate and exploit the integrated control system and digital twins via wind tunnel tests, historical operational data, dedicated test rigs, and field tests, and bring ICONIC’s key innovations to TRL 5.
Locations and partnerships
Belgium (C-Power, Ghent University, KU Leuven, ZF Wind Power Antwerpen NV )
Denmark (Aalborg Universitet)
Netherlands (SKF BV)
Norway (EDR & Medeso AS, Norwegian University of Science and Technology)
Spain (Ikerlan S. Coop., Laulagun Bearings S.L.)
United Kingdom (BP International, Imperial College London, University of Warwick)
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Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
