Project description
Multi-scale digital twin for wind farm optimisation
Wind farm simulators overlook crucial fluid-structure interactions and wake turbulence, leading to inaccurate power output and fatigue load predictions. Supported by the Marie Skłodowska-Curie Actions programme, the MUSTWIND project will develop a multi-scale digital twin for next-generation wind farms, supporting Europe’s 2050 climate goals. It will use advanced simulations and machine learning to generate detailed datasets on wake turbulence and fluid-structure interactions. The initiative aims to enable predictive control of power output and maintenance while reducing operational costs. By combining high-performance computing with experimental validation, the project represents a significant step towards optimising wind energy and accelerating the renewable energy transition in Europe.
Objective
This project develops a groundbreaking multi-scale digital twin for next-generation wind farms, directly supporting Europe's 2050 climate neutrality goals under the Green Deal. Current wind farm simulators fail to capture critical fluid-structure interactions and wake turbulence dynamics, leading to poor predictions of power output and fatigue loads. This research addresses these limitations by integrating high-fidelity Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) with two-way fluid-structure interaction (FSI) coupling and machine learning.
The 24-month fellowship at Imperial College London's Turbulence Simulation Group, under Prof. Sylvain Laizet's supervision, pursues four key objectives: (1) generating high-resolution datasets of wake turbulence and FSI under misaligned, intermittent inflows; (2) characterising multi-scale physics through advanced diagnostics including vortex identification and fatigue analysis; (3) developing Bayesian-trained surrogate models for dynamic actuator-line corrections and reduced-order FSI coupling; and (4) integrating these surrogates into a farm-scale solver with real-time optimisation capabilities.
The methodology combines computational excellence with experimental validation, utilising European Tier-0 HPC facilities and wind tunnel data. Three interconnected work packages progress from high-fidelity data acquisition through physical analysis to surrogate model development, enabling predictive control of power output, fatigue loads, and maintenance scheduling.
Expected impacts span scientific advancement (first validated multi-scale wind farm digital twin), economic benefits (reduced O&M costs, improved LCOE), and societal gains (accelerated renewable energy transition, job creation). The project exemplifies interdisciplinary innovation, merging CFD, machine learning, and experimental validation to transform wind energy optimisation, positioning Europe at the forefront of digital twin technologies.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
SW7 2AZ London
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.