The SAMPLE project aims to study, develop and validate a solution for the management and resilience of critical infrastructures dedicated to the production of energy from Non-Programmable Renewable Sources (FRNP), with particular reference to generation from photovoltaic systems and their interconnection with electric grid.
The first phase of the project consists in the analysis of the application scenarios of predictive maintenance aimed at guaranteeing the continuity and quality of the generation from FRNP, in particular as regards the availability and quality of the data to be collected, the representation of data with models simulation and identification of measures (KPI) to verify the effectiveness of the solution.
Subsequently, the platform for the management of diagnostics and prevention of photovoltaic system anomalies will be created. The platform is based on the intelligent acquisition and aggregation of data from heterogeneous sources and on the development of simulation functions of the expected behavior of the plants integrated with imaging systems for physical monitoring of the plants with drones. The effectiveness of the platform will be validated in a simulated environment starting from a base of observations and historical data collected on the plants of the infrastructural node of the Savona Campus of UNIGE (research infrastructures codified at regional and national level: Smart Polygeneration Microgrid and Smart Building) and on ACEA plants.
Finally, on the basis of the activities carried out previously and in particular of the evidence collected, we will proceed with an analysis of the KPIs to verify the effectiveness of what has been achieved. The desired result is the validation of the technologies and functions used in reference to large plants where ACEA will provide data and validate the process to verify the degree of completeness of the solutions for a possible introduction on the market.
An established research group with a renowned academic and industrial profile.
Maps: in collaboration with Algowatt, it will define and implement predictive models and Machine Learning algorithms to evaluate the operating status of a plant on the basis of historical and detected data (diagnostics and prognostics).
Algowatt: in collaboration with MAPS, will study the implementation of the service platform to increase the resilience of critical production infrastructures (FRNP). In particular, he will deal with: the integration of advanced monitoring systems – also including thermographic analyzes with drones – comparing plant data with the expected and historical performance values to identify systematic drifts and physical malfunctions that do not correspond to the predefined models. It will also carry out a validation of the benefits on use cases relating to the maintenance of photovoltaic systems in close collaboration with Acea Produzione.
Acea Produzione: will make available to the parties: historical data on the technical performance of photovoltaic plants selected by Acea Produzione from among those it owns; the real-time performance data of photovoltaic plants selected by Acea Produzione from among those it owns; competence and experience in the photovoltaic field in “best-effort” mode and for a period of time not exceeding 12 months from the official start date of the project; the willingness to carry out tests, trials and/or trials in photovoltaic plants chosen by Acea Produzione from among those it owns.
UNIGE: collaborates in the project through the Savona Campus Team which has been involved in research projects for sustainable energy systems for 10 years. In particular, the Team has worked on European, national and regional projects that have allowed the installation of research infrastructures (codified at national and regional level) for smart grids and microgrids, as well as the development of energy management systems for sustainable districts. . With SAMPLE it will start a path related to the predictive management of existing plants.