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A powerful UAV-based ICT solution allowing safe, reliable and effective inspections of wind turbines

Total Cost €


EC-Contrib. €






Project "Wind-Drone" data sheet

The following table provides information about the project.


Organization address
address: SINES TECNOPOLO Z.I.L. II, 122-A
city: SINES
postcode: 7520-309
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Portugal [PT]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.3. (SOCIETAL CHALLENGES - Secure, clean and efficient energy)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2017-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PRO-DRONE, SA PT (SINES) coordinator 50˙000.00


 Project objective

Over the lifetime of a wind turbine, operation and maintenance costs represent 25% of total levelised cost per kWh produced. Half of this cost concerns the blades. Blade inspection procedures still rely on qualified inspectors roping down each blade: a hazardous, time-consuming (5h) and expensive method (1500€). ProDrone’s integrated solution delivers a fully equipped Unmanned Aerial Vehicle (UAV)-based platform for capturing, processing and analysing inspection data, enabling a turbine downtime lower by 6 times and a cost saving of over 50%. Pro-Drone is targeted at wind park operators who seek a reduction in the cost of blade inspection and additional revenues from decreased downtime. Within the overall project, Pro-Drone intends to fully automate the UAV blade inspection process eliminating human intervention in the drone’s take-off and landing phase; optimization of the post-processing algorithm for automatic fault recognition; and complete a sound demonstration and validation of the technology in operation with wind turbine operators. There is over 154 GW of installed wind energy capacity in the EU (over 60.000 wind turbines) and 433 GW globally (314.000 wind turbines!) which can asily adopt this solution and benefit from safer and more economical turbine analysis. The Pro-Drone will effectively contribute to the European 2030 targets of at least 27% renewable energy in final energy consumption at European level and an anticipated €1 million plus will be saved on the total amount of energy installed in EU.

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The information about "WIND-DRONE" are provided by the European Opendata Portal: CORDIS opendata.

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