DOCC-OFF PROJECT AIMS TO REDUCE THE IMPACT OF SOME HYDRAULIC PITCH SYSTEM FAILURE MODES ON THE WIND TURBINE´S DESIGN LOAD CASES
The main challenge of DOCC-OFF will be to validate the sensors, remote monitoring systems and big data analytics tools that will allow to obtain data from the pitch system, which is the system used to adjust the blades in wind turbines by rotating them so that they use the right fraction of the available wind energy to get the most power output, meanwhile ensuring the turbine does not exceed its maximum rotational speed
This project pursues to use the knowledge extracted from the operational data to improve the design of the hydraulic pitch system, increasing its reliability and reducing the impact on the wind turbine´s design load cases.
specification and development
validation and demonstration
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The Basque Energy Cluster presents "DOCC-OFF" project as a success story at the European Commission stand during the Hannover Messe 2022.
22 June 2022
The European Commission (EC) proposed to the Basque Energy Cluster Association (ACE), as leader of the project, to present DOCC-OFF at the EC stand, as a success story and an example of collaboration in the use of Data within the "Digital Europe" pillar.
HINE and IKERLAN have recently published an article based on the work developed in DOCC-OFF project
21 December 2021
The article is entitled "A Sensor Data Processing Algorithm for Wind Turbine Hydraulic Pitch System Diagnosis" and it has been published by MDPI (Multidisciplinary Digital Publishing Institute), a publisher of open access scientific journals