Flexibility AI uses intelligence to optimize energy use in renewable systems and smart grids.
What is Flexibility?
Flexibility AI can refer to two main things:
- Optimizing renewable energy systems: In this context, AI helps manage battery storage for solar panels or other renewable sources. The AI predicts energy consumption and adjusts battery use to maximize efficiency and lifespan [AI Flexibility]. For instance, it might discharge the battery during low sun hours to prevent overcharging and extend battery life.
- Smart grids and electric vehicles: Here, AI helps manage electricity use in a power grid with a high proportion of renewable sources. This is because renewable sources like solar and wind are variable, and AI can predict fluctuations and adjust energy use accordingly. For example, it might shift charging times for electric vehicles to off-peak hours to reduce strain on the grid [AI for Flexibility – Grid Edge, Flexibility – Software for electric vehicles and smart grid].
Features:
- Predicts energy consumption: Flexibility AI anticipates future energy needs.
- Manages battery storage: Optimizes use and lifespan of batteries in renewable systems.
- Adjusts energy use: Adapts energy consumption based on real-time conditions.
- Accounts for variable sources: Integrates fluctuating renewable energy sources like solar and wind.
- Shifts energy demands: Optimizes energy use patterns, like charging electric vehicles during off-peak hours.
- Improves grid stability: Manages electricity flow in grids with a high proportion of renewables.
Conclusion:
Flexibility AI acts as the brain of renewable energy systems and smart grids, ensuring efficient energy use, smoother integration of renewables, and a more stable overall power grid.
