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UPscaling WIND turbines using digital twins technologies. Repowering design, validation and monitoring.

CORDIS · observation · Publication date unknown

trategy to immediately increase wind energy installations as it can double generation capacity (in MW) of existing onshore wind farms within a very short period. UPWIND aims to develop an innovative machine learning-assisted upscaling framework for existing onshore wind structures to be converted to new-age powerful ones. This will be achieved by replacing old turbines with more efficient and powerful new-age turbines, increasing the height of the existing onshore tubular steel wind turbine towers, enhancing the load-bearing capacity of the towers and by extending their operational life. The research output of UPWIND will enable decision-making for innovative repowering strategies focusing on upscaling the existing support towers to bear the new loads (increased self-weight, fatigue vibrations) caused by heightening and new turbines installation, by selecting suitable strengthening schemes. New upscaling methods and strengthening schemes will be implemented and a new digitalized decision-making framework for repowering old wind turbine towers will be developed. UPWIND will introduc

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recordType

award

status

SIGNED

region

EU

value

181423.68

unit

EUR