Building a unified view of facilities for a renewable energy company
How ju:niz centralized their data operations and built a unified view of their facilities using Quix and InfluxDB v3.
Energy companies use Quix to monitor energy infrastructure, improve maintenance practices, predict energy production, simulate devices to expedite product development, and more.
Whether it's solar, hydro, wind or battery parks, monitor distributed infrastructure and different device types centrally. Cost-effectively collect and process Terabytes of granular device data to create a single pane of glass for your energy infrastructure.
Quickly identify device issues to minimise their impact on energy production or storage. Generate alerts down to the module or cell level to ensure they can be actioned effectively.
Use ML and AI to predict device faults before they occur, and schedule maintenance proactively. This minimizes unplanned downtime, ensuring continuous energy supply and optimizing grid reliability.
Analyze granular data on energy production or consumption to identify peaks, trends and patterns. Run ML and AI models to predict future energy production or consumption, ensuring efficient resource allocation and grid stability.
Simulate device behaviour to expedite the development of new solar panels, wind turbines, batteries or heating systems via digital twins. Reduce development time and cost of bringing new products to the market.

Whether it's solar, hydro, wind or battery parks, monitor distributed infrastructure and different device types centrally. Cost-effectively collect and process Terabytes of granular device data to create a single pane of glass for your energy infrastructure.
Quickly identify device issues to minimise their impact on energy production or storage. Generate alerts down to the module or cell level to ensure they can be actioned effectively.
Use ML and AI to predict device faults before they occur, and schedule maintenance proactively. This minimizes unplanned downtime, ensuring continuous energy supply and optimizing grid reliability.
Analyze granular data on energy production or consumption to identify peaks, trends and patterns. Run ML and AI models to predict future energy production or consumption, ensuring efficient resource allocation and grid stability.
Simulate device behaviour to expedite the development of new solar panels, wind turbines, batteries or heating systems via digital twins. Reduce development time and cost of bringing new products to the market.
Optimize energy production or storage processes via in-depth analysis and modeling at every level: device, plant and global operations.
How ju:niz centralized their data operations and built a unified view of their facilities using Quix and InfluxDB v3.
