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Technologies

Methodology for the DTWO Twin

Modules

Technical Integration

Earth

Weather

It will include advanced climate and weather modelling specifically designed for offshore wind power. It will optimize the modelling of atmospheric, wave, and ocean conditions that are crucial for planning and operating offshore wind farms. The module will also help quantify uncertainties in forecasting and historical data by using ensemble modelling techniques. Additionally, it will capture and simulate extreme weather events, ensuring better preparedness and more efficient operations in challenging offshore environments. It will work with open and standardized weather and environmental data for European seas.

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Wakes

Inter - and intra - farm

Wake interactions are the effects that the flow of air behind a wind turbine has on other turbines nearby. When wind passes through a turbine, it slows down and becomes more turbulent, reducing the wind speed for downstream turbines. These interactions can impact the efficiency and energy output of the entire wind farm. Accurate modelling of wake interactions in a digital twin is crucial for optimizing turbine placement, reducing losses, and improving overall performance for both for bottom-fixed and floating turbines.

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Siting

Resource, design and environment

It will focus on creating an efficient model that helps evaluate wind energy potential and energy production for offshore wind farms. It will optimize the design and selection of wind turbines for each site to ensure the best performance. The module will also use specialized tools and data to assess the cost-effectiveness of wind farm locations based on local environmental conditions.

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Turbine

Health state and reliability predictions

It will help to check how wind turbines are doing and how their condition affects costs and earnings, measure the risks and uncertainties related to downtime for maintenance and predict how much longer wind turbine parts will last. This will support planning, Operations and maintenance related downtime and costs, loss of revenue, availability and effect on fatigue-related degradation.

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Grids

Interconnectivities and energy systems

It will create multiple tools to support both long-term investment planning and day-to-day operations of offshore wind farms. It will also forecast future energy scenarios and energy prices for interconnected energy systems, helping plan for changes in the market. Additionally, the module will improve the integration of offshore wind farms with renewable energy storage systems, ensuring a more efficient and reliable energy supply.

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Federated architecture of the Digital Twins platform

It will be developed using a specialized design approach focused on key features, and it will offer an open-source, flexible framework that can work with different types of modules, including those for Earth systems, wind wakes, power grids, and turbines.

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Scientific integration

It will combine and test the Federated platform with existing scientific models to ensure they work seamlessly together. This will enhance the system's accuracy, precision, and ability to measure and manage uncertainties.

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Final DTWO platform architecture and integration

It will integrate, test, and refine the alpha and beta versions of the DTWO system, ultimately creating a fully functional platform tailored for wind asset owners. This platform will help them better manage and optimize their offshore wind assets.

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