Objective
The EU Agency for Safety & Health is currently amending wind turbine standards (such as EN 50308) to ensure safer O&M tasks and increase the Probability Of Detection (POD) for wind turbine defects. ISO have also identified such issues, and in fact initiated the development of QA standards specifically tailored for the Condition Monitoring (CM) of wind turbines. Current CM systems are intrusive, and hence revoke the initial OEM warranty of drive-train components. The combination of industrial and legislative factors is the key driver behind the production of CMDrive: a bespoke and non-intrusive acoustic-analysis CM system, having a POD for drive-train defects of 90-98% within the range of operating powers. The requested grant of €2.5m will be required to validate and enhance the system, and initiate the commercialisation process. Growth in the wind services sector, as related to O&M and CM, is also compelling, as studies by Deloitte have shown that the corresponding market is estimated to increase from €5.2b to €10.8b by 2020, with a CAGR of 10%. The first generation of CMDrive shall be produced for wind turbines of 2.5MW or less; a next generation product, to handle larger turbines, has already been envisioned. The commercialisation strategy involves the segmentation of the wind turbine market into 3 initial customer tiers, is targeting WFOs and Independent Service Providers of CM within such tiers, and will position the product through a number of Unique Selling Points, which will be elaborated further in this proposal. The locations of the 5 partners, in addition to the global outreach of TWI and INESCO, are critical factors for launching the product by 2019. It is expected that CMDrive’s associated revenue streams (sales, services, licensing) will yield an estimated ROI of 1100%, and corresponding cumulative profits of €26m, over the 5 year forecast (2019–2023). INESCO will take lead of the sales, with the other partners benefiting by means of profit shares.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- social scienceseconomics and businessbusiness and managementcommercee-commerce
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind power
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
39005 Santander
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.