Work packages

The Hybridwind project is structured into eight dedicated work packages, each addressing key aspects of digital twin integration, simulation, testing, and economic assessment. These work packages ensure a comprehensive approach to system development, validation, and industry impact. Together, they drive innovation, efficiency, and knowledge exchange in wind energy technology.

Workpackage 1

Objectives: Systems will be developed by implementing a digital twin (DT) through internet of things (IoT) integration of legacy development and test systems. This requires a thorough analysis of all requirements and available data sources. Special emphasis is placed on the data management requirements for system development, including data quality, availability, consistency, and security.

Workpackage 2

Objectives: In this WP the models of the main components of the wind turbine, including the blade, gearbox and foundation will be prepared and calibrated. Appropriate loads will be identified and defined for the simulations. Scaling effects will be analysed and effectiveness of simulations assessed. WP2 is the first step for the implementation of the digital twin at the component and system levels.

Workpackage 3

Objectives: This WP creates the data infrastructure and services at the subcomponent, component, and turbine levels under varying temperatures to train methods and models for enhanced damage detection methods. The generated open-source data from the temperature-controlled subcomponent tests will be unique and enable the clarification of research questions about temperature dependent damping effects on blades. The scale up of the methods will be demonstrated on a 2.2MW turbine at EDF farm in Ustka, Poland and a 5MW turbine in the WiValdi research wind farm in Krummendeich, Germany.

Workpackage 4

Objectives: WP4 will research, develop and deploy the digital platform architecture consisting of building blocks including sensor and data fusion across sources. The testing environment (WP3) and the simulation environment (WP2) will be brought together using data-driven and knowledge-driven approaches. 

Workpackage 5

Objectives: WP5 will develop an LCOE model that incorporates predicted damage data to better understand the impact of maintenance interventions on the cost-effectiveness of individual measures, allowing lowering of overall LCOEs. It will also perform LCA/LCSA and study social acceptance issues 

Workpackage 6

Objectives: Define and maintain tools for dissemination and communication to wind industry stakeholders, within Europe and internationally. Includes effective outreach to the general public and project exploitation and maintenance of project intellectual property and rights (IP, IPR).

Workpackage 7

Objectives: Enabling knowledge exchange between all CETPartnership (CETP) funded projects and with national and international experts to leverage synergies. 

Workpackage 8

Objectives: Ensuring the project’s smooth and efficient running, assessment of risks, and control of financials, monitoring and response to risks, and management of IPR.