Offshore wind energy, digitally twinned for reliability
The objective of Federated Digital Twins for Wind-Offshore (DTWO) is to develop a federated digital twin integrating existing simulation assets and real-time data to transform them into virtual power plants delivering up-to-date energy system powered by offshore wind. While there have been other commercial initiatives for Digital Twin of wind farms, this project stands out by introducing a groundbreaking innovation: the creation of the first-of-its-kind customizable platform that eliminates the need for users to share commercially valuable data.
By utilizing a digital twin of entire wind farms, various scenarios, such as approaching extreme weather events, or future wind farm projects, can be simulated, allowing reliability for accurate performance predictions for both bottom-fixed and floating wind farms. The software architecture will integrate five modules:
- Module Earth:
Weather - Module Wakes:
Inter- and intra-farm - Module Siting:
Resource, design and environment - Module Turbine:
Health state and reliability predictions - Module Grid:
Interconnectivities and energy systems
The project started in June 2024 and will last for three years.
DTWO combines the strengths of the world’s largest manufacturer of offshore wind turbines Siemens Energy (in this case its division Siemens Gamesa), and the world’s biggest offshore wind project developer (Ørsted) with research centres (Fraunhofer Institute for Wind Energy Systems IWES, DHI and von Karman Institute for Fluid Dynamics), IT consulting and digital services provider (Softserve Poland Sp Zoo), academia (Technical University of Denmark and Gdańsk University of Technology), a science communication institution (Fondazione ICONS), an energy forecaster (Enfor As), and weather centers (the European Centre for Medium-Range Weather Forecasts and the Royal Netherlands Meteorological Institute).
Contact us at:
Info mail:
info@dtwo-project.eu
Coordinator contact:
Professor Xiaoli G. Larsén
Technical University of Denmark
xgal@dtu.dk