Periodic Reporting for period 1 - DTWO (Federated Digital Twins for Wind-Offshore)
Période du rapport: 2024-06-01 au 2025-11-30
The objective of DTWO is to develop a federated digital twin (DT) 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.
The core innovation of DTWO is to build the first-of-kind functional DT that does not require users to share commercially valuable data centrally, but instead offers them a customisable platform where users can spin up bespoke DTs drawing from a range of validated models and datasets to provide better decision support for complex investments decisions.
The fast offshore wind energy (OWE) development challenges our knowledge and tools, which were developed and tested for onshore conditions, smaller wind turbines (WT) and wind farms (WF), and energy system over smaller regions. It urges us to revisit theories and improve models of the OWE production system.
DTWO engages with existing EU digital initiatives, combines advanced research institutes and most influential industry partners, to update theories and improve modeling systems, with feedback loops between virtual and real-world systems. This includes integrating DestinE, considering weather with air-sea interaction in the presence of WF wakes, implementing full-scale turbulence models suitable for WTs taller than 200 meters, for both normal and extreme weather conditions. This feeds into calculation for siting conditions and energy yield, turbine health state and reliability predictions, grid interconnectivity and energy system, for both bottom-fixed and floating WTs and WFs of both historical and future scenarios. DTWO builds a software architecture with data and tool hubs integrating modules: Earth, Wakes, Siting, Turbines and Grids).
The core innovation of DTWO is to build the first-of-kind functional DT that does not require users to share commercially valuable data centrally, but instead offers them a customisable platform where users can spin up bespoke DTs drawing from a range of validated models and datasets to provide better decision support for complex investments decisions.
The fast offshore wind energy (OWE) development challenges our knowledge and tools, which were developed and tested for onshore conditions, smaller wind turbines (WT) and wind farms (WF), and energy system over smaller regions. It urges us to revisit theories and improve models of the OWE production system.
DTWO engages with existing EU digital initiatives, combines advanced research institutes and most influential industry partners, to update theories and improve modeling systems, with feedback loops between virtual and real-world systems. This includes integrating DestinE, considering weather with air-sea interaction in the presence of WF wakes, implementing full-scale turbulence models suitable for WTs taller than 200 meters, for both normal and extreme weather conditions. This feeds into calculation for siting conditions and energy yield, turbine health state and reliability predictions, grid interconnectivity and energy system, for both bottom-fixed and floating WTs and WFs of both historical and future scenarios. DTWO builds a software architecture with data and tool hubs integrating modules: Earth, Wakes, Siting, Turbines and Grids).
The technical development of the digital twin architecture has been carried out in parallel with the scientific development of the five digital twin modules in Earth, Wakes, Siting, Turbines and Grids. The main achievements so far include:
1. The initial version of the federated DTWO digital architecture is completed with initial tests. This includes the architecture design, software implementation and technical documentation, verified and improved during quality attribute stakeholder workshop.
2. Digital Twin module Earth is in place, covering weather, climate, environment, extreme events and turbulence. Specific focus was put to the associated codes and data, interfaces to other DT modules, and their implementation in DT architecture, including DestinE Extremes DT and Climate DT, full-scale turbulence models, regional models coupling atmosphere, waves and wakes.
3. Four categories of Use Cases (Wind Farm Siting; Wind Turbine Monitoring; Wind Turbine Operations; Wind Farm Planning and Operation) are being designed considering inter-connectivity to relevant DT components, cost-benefit tradeoffs and required capabilities including Open Access. Key parts of Use Case 1 have been implemented in the architecture with latest scientific results and tested.
4. A Medium-range wake model was made available to the platform through containerization of PyWake and long-range simulation data is now retrievable through a web API.
1. The initial version of the federated DTWO digital architecture is completed with initial tests. This includes the architecture design, software implementation and technical documentation, verified and improved during quality attribute stakeholder workshop.
2. Digital Twin module Earth is in place, covering weather, climate, environment, extreme events and turbulence. Specific focus was put to the associated codes and data, interfaces to other DT modules, and their implementation in DT architecture, including DestinE Extremes DT and Climate DT, full-scale turbulence models, regional models coupling atmosphere, waves and wakes.
3. Four categories of Use Cases (Wind Farm Siting; Wind Turbine Monitoring; Wind Turbine Operations; Wind Farm Planning and Operation) are being designed considering inter-connectivity to relevant DT components, cost-benefit tradeoffs and required capabilities including Open Access. Key parts of Use Case 1 have been implemented in the architecture with latest scientific results and tested.
4. A Medium-range wake model was made available to the platform through containerization of PyWake and long-range simulation data is now retrievable through a web API.
We will continue the scientific development within each DT module (with more focus on wakes from turbines and farms, wind farm siting, turbine monitoring and operation, and grids and energy system) and the associated scientific implementation to the DTWO DT architecture. We will also continue the Data Management, and enhance the networking with other BRIDGE initiatives and other projects.