Objective
EGNSS high Accuracy SYstem improving PhotoVoltaic plants maintenance.
The purpose of the EASY PV proposal is to provide a time and cost effective service as direct response to the growing need expressed by several maintainers and PV field owners to enhance the energy production of their plants.
As photovoltaic plants are aging, it is not uncommon that their production lowers due to inefficiency caused by unknown modules on the plant lowering the whole plant’s productivity. Thermal inspections are valuable for PV owners and maintainers, but relevant procedures (currently performed by operators with handheld cameras) are time demanding and sometimes expensive due to safety costs for the personnel involved in the operations (e.g.: PV modules on roofs, rough areas, …). It stands to reason that today such operations are not fully automated yet and the responsive recognition of a broken module might result very difficult in a large PV plant.
As a first improved solution, the growing technology of RPAS (Remotely Piloted Aircraft Systems) is exploited to gather thermic images which are geo-referenced by GPS positioning and processed by computer vision algorithms. However this configuration is very respectful but still not enough in order to provide the required positioning accuracy for the automation and fast identification of the broken modules. Only the aid of accurate positioning allows a cost effective solution to reduce time, costs and risks for personnel involved: the added value provided by the employment of GNSS high accuracy solutions as novelty in the RPAS domain is the key driver for the EASY PV turnkey solution.
Finally EASY PV solution is conceived to build up an automatic system for acquiring, georeferencing and processing both visible and thermal images captured by an RPAS equipped with a Galileo/EGNOS high accuracy receiver, flying over a photovoltaic field. In this way it is possible to easily detect the defective modules to be replaced.
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.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- social sciencessocial geographytransportnavigation systemssatellite navigation systemglobal navigation satellite system
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- social sciencessociologyindustrial relationsautomation
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Programme(s)
Call for proposal
(opens in new window) H2020-Galileo-GSA-2014-2015
See other projects for this callSub call
H2020-Galileo-2015-1
Funding Scheme
IA - Innovation actionCoordinator
00198 ROMA
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.