Fraunhofer Institute for Energy Economics and Energy System TechnologyDevelopment of a digital twin for forecasting electricity generation for wind energy demand
The expected growth in onshore and offshore wind energy is enormous and many new wind farms are planned for the coming years. Experience from existing wind farms shows how important it is to select suitable individual locations for wind turbines and to network them efficiently within the wind farm. In addition, combining wind farms into clusters as part of a wind farm concept can lead to negative interactions between the farms over long distances, which reduces the expected efficiency. This can occur both onshore and offshore.
Given the high share of wind energy in the grid and the expected increase in the coming years, this technology must be prepared to take on a more important role in terms of its contribution to the reliability and security of the electricity system. The present proposal, WinDTwin, aims to develop and validate a digital twin (DT) for offshore wind farms that enables highly accurate prediction of power generation and end-user energy demand.
The digital twin will provide users with tailored access to high-quality information, services, models, scenarios, forecasts and visualizations and serve as a one-stop shop for decision-makers in the offshore wind energy sector. WinDTwin will also serve as a platform that provides users with access to a comprehensive range of high-quality resources, services, models, scenarios, forecasts and visualizations. WinDTwin is expected to revolutionize the way industry professionals make informed decisions.
To achieve the impact expected from WinDTwin, ambitious, innovation-driven research must bring together a range of skills and expertise that cannot be found in a single member country or institution. We have assembled a unique team with a wide range of expertise across the entire wind energy development process, from wind energy production management to the development of industrial codes, numerical methods and algorithms to ensure the adoption of improved methodologies. The WinDTwin consortium consists of 13 organizations from 7 different member states.
