The EURAMET Met4Wind project is researching measurement and modelling methods for Wind Energy Systems. Some work was presented at BGA’s GEARS 2020 and GEARS 2021 events and an update is summarised in the newsletter available for download below.
The BGA are proud to support this project by hosting a Virtual-Technical Awareness Day (V-TAD) on the MET4WIND project (date TBC) full details and registration to the event will be available soon.
About the project.
Met4Wind (Metrology for enhanced reliability and efficiency of wind energy systems) is a European Research project within the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
Why Met4Wind ?
The mechanical components of Wind Energy Systems (WES) are exposed to the highest loads, with torques of up to 20 MNm acting on the blades, and these are transmitted to the drivetrain’s components. Therefore, the requirements on these parts are high and this often results in tight manufacturing tolerances related to their size and mass. Reliable verification of manufacturing tolerances through accurate measurements is a critical part of quality assurance. This project will improve industrial measurement capabilities for the mechanical parts of WES following the Manufacturing Metrology Roadmap 2020 and it will help to accelerate the energy transition by enhancing the efficiency of WES technology.
Objectives
The overall objective of the project is to enhance the reliability and efficiency of WES by ensuring the traceability of the measurements of their mechanical components, thereby improving industrial production processes in order to fulfil the demands of the Manufacturing Metrology Roadmap 2020. The specific objectives of the project are:
1. To investigate fast optical and multi-sensor measurement methods for roughness, form, and dimensions of mechanical components of WES and to determine the associated uncertainties.
2. To develop improved measurement and evaluation methods for the surfaces of industrial and WES drivetrain components, considering material properties, when appropriate.
3. To develop a digital twin (DT) of drivetrain and turbine blades to predict the degradation in the turbine’s efficiency.
4. To evaluate and improve the accuracy of machine tool measuring stations for fast and flexible inline metrology operating in harsh environments
