A selection of the innovations of the SERENDI-PV project:
Simulation, modelling and design for better PV reliability, performance and profitability. SERENDI-PV will tackle the new challenges of modelling on four aspects: losses and degradation modelling, new PV technology/configuration modelling (such as bifacial and floating), solar resource and uncertainties modelling, and financial risk modelling.
Monitoring and image-based fault diagnosis for higher PV performance and profitability. SERENDI-PV will develop solutions and services based on five technical approaches:
a) advanced fault diagnosis in large PV plants; b) fault diagnosis in new technologies (bifacial, floating); c) data analytics algorithms for diagnostics of medium/long trend processes d) digital twins for predictive maintenance of the most complex components, such as inverters and batteries e) improved infrared thermography data analytics.
Quality Control (QC) equipment and procedures for PV components and systems reliability
To ensure an effective quality control throughout the whole supply chain, SERENDI-PV will develop instruments (testing equipment and procedures) for:
• Laboratory facilities, providing indoor quality controls at the component level. SERENDI-PV will address two issues: a) soiling and cleaning on the one hand; b) PV module degradation and failures in the floating environment on the other hand.
• Field testing toolboxes, providing outdoor quality controls at the component and system level. SERENDI-PV will address another two issues: c) soiling and d) PV strings ageing/degradation.
• Quality control procedures for e) PV inverters and f) energy storage, providing a coherent frame to exploit field and laboratory testing.
Mid-term, short-term forecasting, and nowcasting for PV system aggregations.
Collaborative platform for modelling, data analytics, QC, databases and grid integration.
Removing technical constraints for integrating large volumes of PV in the grids