The widespread uptake of beyond-the-meter solar and battery storage means that utilities are seeking visibility and control for planning and to support effective grid integration. A substantial amount of real-time data is produced from inverters, power meters and other sensors. The available data types are usually determined by the way the system is put together, and the underlying equipment vendors’ technical or commercial constraints. Careful consideration of communications and data handling requirements also imposes constraints on data types and availability. The use cases for this data also differs greatly between end-users, technology providers, and utilities. The analytics and reporting considerations must therefore meet these considerations in order to deliver actionable insight, however too often complexity often overshadows usefulness.
The presentation considers key considerations relating to the handling and presentation of data in this context. This includes:
a) Deciding which metrics will be of use, and the means by which we collect and process the necessary data to ensure quality and accuracy.
b) Deciding on methods of data treatment and analytical processing to determine reduce complexity and extract meaning.
c) Considerations when presenting this data in ways which deliver actionable insights for both technical and non-technical users for a range of use cases.
The presentation will include results from user experience testing and key case studies to illustrate findings.
3 key takeaways from this presentation:
1. Modern real-time energy management systems for beyond-the-meter solar and battery systems collect a lot of data
2. This data can be exceptionally useful however it is complex and often meaning is not evident.
3. There are key considerations to ensure users receive actionable insight.