Superior solar photovoltaic systems for enhanced performance

The primary and secondary objectives are broken down into specific tasks aiming to: Implement smart PV module concept with integrated Strength MLPE and extended in-module sensing capabilities for improved PV plant performance and decision-making process in O&M. Implement drone-based high spatiotemporal granularity and diagnostic resolution imagery solution coupled with smart PV module monitoring-diagnostic features. Implement smart control system for PV plants with tracking integrated with real time weather monitoring data. Develop DT based database including multi-sensory operational, thermal, mechanical and environmental data with wide publicly available datasets for decision making process on PV plant planning and operation. Introduce edge AI for monitoring and yield forecasting and modelling of the entire electricity system including storage supporting plant O&M and automated and predictive PV asset management. Demonstrate smart PV module with extended monitoring and smart control features integrated with edge AI in different climates and applications including user behaviour. Evaluate impact of the proposed enhanced digitalisation of PV plant performance in terms of costs/benefits/profitability and increase of PV system reliability, security and flexibility under various topology and operating conditions. Disseminate project achievements to enable further increase of utility-friendly integration of PV generation into the European energy system at high-penetration levels empowered by high digitalisation of PV plant operation. The project consists of seven interrelated work packages: WP1 Management WP2 In-module sensing & MLPE (ProTech) WP3 PV plant level O&M tools (IREC) WP4 Data integration & Edge AI (SINTEF) WP5 DemoSites and Data Gathering (AYESA) WP6 Specifications (BNW-Energy) WP7 Dissemination and Exploitation (WIP).