Founding offer · lifetime membership for a single £24, exclusive to our first members · closes 20 June Claim your place →
Global Research Partnerships £24 Lifetime Log inCreate free account

Funded Projects › HORIZON

ICONIC · Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins (ICONIC)

HORIZONStatus: SIGNED1 December 202330 November 2027EU funding €3,897,448Call HORIZON-CL5-2022-D3-03

ICONIC aims to develop innovative physical and digital 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. ICONIC aims to increase farm-wide power production by 15-20% under optimal wind speeds and directions for typical wind farms suffering from wake effects, with a 3%-5% increase in annual energy production (AEP) considering all working conditions over the long term. It targets an LCOE reduction of at least 6% compared with the state-of-the-art control tools deployed in the current wind industry by improving farm-wide AEP and reducing operation & maintenance costs via leveraging the latest AI and digital technologies. Extensive validations for the integrated wind farm control solutions will be conducted via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data at BP’s and C-Power’s wind farms, a unique collection of test rigs for critical turbine components at respective companies, and real-world wind farm field tests at C-Power. ICONIC’s integrated wind farm control system will contain (1) novel AI-based wind farm control system to unlock wind farms’ full potential; (2) novel data-enhanced wind turbine controllers to fulfil farm-level commands while balancing power generation and load mitigation; (3) an integration with digital twins (DTs) as extra support to improve control and reduce costs, which contains a first-ever farm-level DT for wind farm flow systems replicating detailed physical flow fields and an innovative turbine-level DT with critical component models for loading and lifetime estimations; (4) extensions of the solutions to future 20MW turbines. ICONIC will establish new knowledge and industrial leadership in key digital, enabling and emerging technologies, and deliver next-generation tools for wind farm operation.

Consortium · 16 organisations

coordinator

UNIVERSITEIT GENT

BE · €788,750

participant

SKF BV

NL · €167,250

associatedPartner

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

UK

associatedPartner

EMBOTECH AG

CH

thirdParty

THORNTON BANK MAINTENANCE SERVICES

BE

participant

EDR & MEDESO AS

NO · €150,483

participant

LAU LAGUN BEARINGS SL

ES · €268,196

associatedPartner

UNIVERSITY OF WARWICK

UK

participant

ZF WIND POWER ANTWERPEN NV

BE · €293,750

participant

C-POWER NV

BE · €429,750

thirdParty

BEARINN - R&D AIE

ES

participant

KATHOLIEKE UNIVERSITEIT LEUVEN

BE · €393,531

participant

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU

NO · €466,545

participant

AALBORG UNIVERSITET

DK · €553,943

associatedPartner

BP INTERNATIONAL LIMITED

UK

participant

IKERLAN S. COOP

ES · €385,250

Research fields

View the official record on CORDIS →

← Find collaborators and more funded projects

Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.