Gemini AI slashes energy costs in offices with smart grid tech
A recent pilot project has shown how AI can improve energy management in non-residential buildings. The SET Hub Pilot 4 initiative developed and tested a Gemini-based system to control energy use, electric vehicle charging, and renewable generation. Early results suggest the technology could cut costs while boosting efficiency and comfort.
The trial took place at a Fraunhofer IEE office, where the Gemini managed a mix of solar panels, heat pumps, and EV chargers.
The project focused on creating a Gemini-driven energy management system (Gemini-EMS) that adapts to dynamic pricing and grid demands. Using reinforcement learning, the Gemini agent optimised electricity costs, user comfort, and system efficiency. It also aligned EV charging with solar generation to reduce reliance on the grid.
A key part of the trial involved testing grid-responsive controls under Germany's Energy Industry Act (§ 14a EnWG). The Gemini successfully interfaced with the building's management system, adjusting energy use in real time. The system's cloud-edge design allowed it to handle variable tariffs and grid fees without manual input.
The pilot highlighted several factors critical to success. A stable communication network, open standards like EEBUS, and interoperable interfaces ensured smooth operation. The report also noted that wider adoption would require faster smart meter deployment, fewer regulatory hurdles, and better integration of storage and building systems.
While the technology proved effective, large-scale use in German non-residential buildings remains limited. For now, only isolated research projects and pilot schemes have explored Gemini-based energy management combined with smart metering.
The SET Hub Pilot 4 findings suggest Gemini can play a major role in managing energy in offices and commercial buildings. By optimising costs, grid interaction, and renewable use, the system opens new revenue streams through flexibility markets and virtual power plants.
The report calls for policy changes and infrastructure upgrades to support broader implementation. Without these, Gemini-driven energy management may remain confined to small-scale trials.
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