Energy

Build a digital backbone for your energy infrastructure

Energy companies use Quix to monitor energy infrastructure, improve maintenance practices, predict energy production, simulate devices to expedite product development, and more.

Energy

Build a digital backbone for your energy infrastructure

Energy companies use Quix to monitor energy infrastructure, improve maintenance practices, predict energy production, simulate devices to expedite product development, and more.

Architecture diagram showing data sources, transformations and sinks

What can you build with Quix?

Monitoring distributed energy infrastructure

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.

Detecting device faults in real-time

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.

Predictive maintenance

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.

Predicting energy production or consumption

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.

Model-based product development

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.

Centralize your data for analytics, monitoring and simulation

Collect more high frequency data from more devices

Cost-effectively collect Terabytes of data per day into a centralized cloud data store, providing a single pane of glass for your solar, hydro, wind or battery parks. Pre-process data to ensure data quality and consistency across devices.

Quickly integrate legacy plant data

Easily integrate data from legacy systems, even without software engineering skills. Quix provides out of the box connector templates for popular technologies like Siemens PLC, ModBus, OPC-UA or MQTT, that can also be customised for your use case.

Rapidly innovate with governance

Visualise and query data in real time, or run advanced MATLAB or ML models. 'Low DevOps' tooling ensures your teams can build fast, while governance features like projects, environments, permissions, auditing, monitoring, lineage and observability ensure IT maintains control over data quality and production apps.

Energy use cases

Monitoring distributed energy infrastructure

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.

Detecting device faults in real-time

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.

Predictive maintenance

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.

Predicting energy production or consumption

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.

Model-based product development

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.

Process optimization

Optimize energy production or storage processes via in-depth analysis and modeling at every level: device, plant and global operations.

Customer story

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.

Customer case study graphic

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Get started quickly with our open source connectors.
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Architecture diagram showing data sources, transformations and sinks

Energy use cases


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