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.
Field of science
- /social sciences/sociology/industrial relations/automation
- /natural sciences/computer and information sciences/artificial intelligence/computer vision
- /social sciences/economics and business/business and management/employment
- /engineering and technology/environmental engineering/energy and fuels/renewable energy/solar energy
- /social sciences/social and economic geography/transport/navigation systems/satellite navigation system/global navigation satellite system
- /engineering and technology/mechanical engineering/vehicle engineering/aerospace engineering/aircraft
- /social sciences/economics and business/economics/production economics/productivity
Call for proposal
See other projects for this call
Funding SchemeIA - Innovation action
81020 San Nicola La Strada
WC1N 3AX London