Platforms for the management of renewable plants

Accurate analysis of performance, such as plant PR, orientation analysis, and string performance, enables precise management of the renewable plant. Our Apio IoT Platform allows for rapid data collection and validation from sensors and data loggers of renewable plants in a way that is completely agnostic to the sensor technology. Thanks to our technology, we can reduce development times to just a few weeks by building solutions that meet the specific needs of customers. The Apio IoT Platform framework is capable of managing millions of data in real-time, providing a robust open-source application layer.

Managing modern renewable production facilities today requires high integration with micro-grid systems, where, in addition to high plant performance, optimized production is also required between consumption, storage, and the network. Our Apio Data Platform enables data sharing between monitoring systems, data loggers, BMS, EMS, and other energy management systems, ensuring speed, security, and continuity. This allows for overcoming fragmented data processing, increasing integration between different systems, and accelerating data-driven projects within enterprise environments, meeting the needs of plants increasingly integrated with consumption and the electrical grid.

Data mining and machine learning are just two of the most common techniques for predicting future behavior from a reliable cluster of historical data. With Apio Forecasting Platform, we have made the application of the most popular data mining models immediate, robust, and scalable. This allows us to extract value from data coming from renewable plants, achieving high production performance and minimizing downtime.

Managing a vast portfolio of renewable plants requires the interaction of different professional figures. Our platforms, built with a strongly user-friendly approach, ensure immediate and targeted data accessibility. With Apio Identity Provider, we can quickly implement detailed and customized management of users and groups, allowing the creation and sharing of access privileges across different platforms while maintaining the highest standards of security and privacy.

To improve the efficiency and management of numerous renewable plants of heterogeneous sizes, the engineers of the A2A Energia group company requested maximum data centralization and the implementation of specific algorithms for a new depth of analysis. In this article, we discuss the most important aspects of the project and present its KPIs.