SciTransfer
DTWO · Project

Federated Digital Twin Platform for Optimizing Offshore Wind Farm Energy Yield

energyTestedTRL 5

Imagine having a high-tech flight simulator, but for giant wind turbines in the ocean. Instead of sharing secret company data in one big pile, companies can plug their own private info into a shared system to see how weather and waves affect their power output. It helps operators predict exactly how much electricity they will make without giving away their trade secrets.

By the numbers
200
Minimum turbine height in meters for turbulence models
14
Number of consortium partners
43%
Industry ratio in consortium
The business problem

What needed solving

Offshore wind developers struggle to predict energy yield and turbine health because existing tools were made for smaller, onshore turbines. Additionally, companies are reluctant to share the sensitive data needed to improve these models.

The solution

What was built

A federated software architecture consisting of five modules: Earth, Wakes, Siting, Turbines, and Grids. This includes a functional digital twin that allows users to run simulations without centralizing their private data.

Audience

Who needs this

Offshore wind farm operatorsWind turbine OEMsNational grid operators (TSOs)Energy investment fundsMarine environmental consultants
Business applications

Who can put this to work

Renewable Energy
enterprise
Target: Offshore Wind Farm Developer

If you are a developer dealing with unpredictable energy yields and turbine wakes — this project developed a federated digital twin that provides better decision support for complex investment decisions. It allows for coordinated assessment of energy yield and turbine performance for both bottom-fixed and floating setups.

Energy Infrastructure
enterprise
Target: Transmission System Operator (TSO)

If you are a TSO dealing with grid stability and energy integration — this project developed a grid interconnection module that transforms wind farms into virtual power plants. This ensures a more reliable energy system powered by offshore wind across pan-Europe.

Industrial Manufacturing
enterprise
Target: Wind Turbine Manufacturer

If you are a manufacturer dealing with structural wear on turbines taller than 200 meters — this project developed structural health and conditional monitoring tools. This helps in predicting reliability and health states under extreme weather conditions.

Frequently asked

Quick answers

What is the cost or pricing model for using this digital twin?

Based on available project data, no specific pricing or cost structure is mentioned as this is a Horizon-RIA research project.

Can this be scaled to industrial levels?

Yes, the project is designed for large pan-Europe systems and includes industrial partners like Ørsted, Siemens Gamesa, Vestas, and Enfor to ensure industrial relevance.

How is the intellectual property and data licensing handled?

The system uses a federated architecture, meaning users do not have to share commercially valuable data centrally, allowing them to maintain control over their proprietary information.

How does this integrate with existing weather data?

It integrates with the Destination Earth (DestinE) initiative and includes a specific 'Earth' module covering weather, climate, and extreme events.

What is the timeline for full deployment?

The project period runs from 2024-06-01 to 2027-05-31, suggesting the final validated system will be available by mid-2027.

Consortium

Who built it

The consortium is heavily weighted toward industrial application, with a 43% industry ratio comprising 6 companies and 2 SMEs. With 14 partners across 10 countries, the project balances academic research (2 universities, 4 research centers) with heavy-hitters like Ørsted, Siemens Gamesa, and Vestas, ensuring the software is built for real-world commercial utility rather than just theoretical research.

How to reach the team

Contact Danmarks Tekniske Universitet (DTU) regarding the DTWO federated architecture.

Next steps

Talk to the team behind this work.

Contact us to connect with the DTWO consortium for early access to the federated DT modules.