Project: DiaGNOSIS, maintenance and operation of PV plants

Acronym PVgnosis (Reference Number: JTC-2_2019_083)
Duration 03/12/2020 - 31/07/2023
Project Topic PVgnosis aims to create an ICT Platform integrating all the necessary tools for delivering advanced diagnosis, predictive maintenance and intelligent visual inspection on installed PV plants. To this end, an advanced sensors’ network is developed and deployed that collects data from UAV and thermal cameras as well as real-time, inverter-based information in order to provide to the Plant Operator a complete view with regards to individual panel operation, shading and thermal strain from sensory equipment on-site. Through historical and real-time data analysis using image processing & machine learning-based pattern recognition techniques, a decision-making mechanism is developed for recommendations of plant operation optimization. Thus, early signs of problems will be revealed, such as solar cell Potential Induced Degradation (PID). Specifically for reliability of PV inverter(s), a Fault Detection and Accommodation scheme is realized to detect and isolate faults and will be embedded into an actual inverter-controller for providing relevant information to the central platform. The goal is to enrich inverter functionalities with new control modes and capabilities for enabling the actual ancillary services’ delivery from the PV plant infrastructure. In the first year of PVgnosis, effort has been put on the definition of the platform’s specifications and architecture. To this end, user requirements has been systematically collected via interaction with relevant end-users and stakeholders and subsequently transformed into system requirements. After the requirement elicitation phase, the specifications of the ICT platform has been defined and an initial version of the PVgnosis architecture has been prepared. Among the technological achievements of this period has been the development of a methodology for the performance evaluation of PV plants with the implemented software currently running live on 4500 PV systems in Sweden. Dissemination activities have been also pursued with the project website being available at and significant scientific papers being published.
Website visit project website
Network Solar Cofund 2
Call Solar Cofund 2 Joint Call

Project partner

Number Name Role Country
1 Centre for Research and Technology Hellas Information Technologies Institute Coordinator Greece
2 University of Cyprus KIOS Research and Innovation Center of Excellence Partner Cyprus
3 ENGAIA SA Partner Greece
4 Checkwatt AB R&D Partner Sweden