Integrated Storage System Operations
Enhance energy storage through data collection, AI-driven analysis for optimal scheduling, and automated system adjustments, boosting efficiency and grid stability.
Challenges
- Demand charges are 30-70% of the total electric bill in a great part of the U.S. (SEIA)
- By 2025, global energy storage is projected to reach over 158 GW, up from 27 GW in 2020.(Bloomberg)
- Current solutions struggle to aggregate and analyze data from diverse sources such as grid-edge devices, renewables, and building management systems, limiting accurate decision-making.
- Siloed data hinders effective scaling for large utility and multi-site commercial deployments.
Solutions
- Gather operational data on energy prices, demand forecasts, grid conditions, weather for renewable integration, and battery health.
- Forecast energy prices, anticipate demand fluctuations, assess grid stability, and evaluate battery health.
- Send commands to battery management systems based on AI recommendations.
- Monitor the battery's state, grid stability, and market prices, adjusting operations accordingly.