Sunrise Toyota Cuts Energy Costs 55% With AI-Driven Power System

Sunrise Toyota has reduced its average energy costs by 55% during the first three months of implementing a new integrated power system. The dealerships in Oakdale and Medford, New York, are using the technology to combat rising utility bills while meeting the power demands of electric vehicle infrastructure.

To achieve these savings, the dealership partnered with Sprocket Power to deploy a system combining solar generation, EVO Power batteries, and Kempower DC fast chargers. The hardware is coordinated by Ranial Systems AI software, which manages when to store solar energy and when to discharge batteries. This configuration helped the dealerships reduce peak demand by up to 101 kilowatts while maintaining 99% battery uptime.

The Challenge of Demand Charges

Commercial utility billing often includes "demand charges," which are fees based on the highest amount of power a business draws from the grid at any single moment. For automotive dealerships, the installation of DC fast chargers typically creates massive power spikes that trigger these expensive charges.

By implementing an AI-managed system, Sunrise Toyota can "flatten" these spikes, using stored battery power during peak periods rather than drawing exclusively from the grid. This approach allows the business to meet corporate charging standards without incurring prohibitive utility penalties.

Turning Costs into Revenue

Beyond simple savings, the system transforms the dealership's energy infrastructure from a cost center into a source of income. By participating in utility grid programs, Sunrise Toyota can sell power back to the grid or provide stability services. These grid program revenues now account for approximately half of the system's ongoing financial benefit.

This shift is part of a broader industry trend toward intelligent energy platforms. By optimizing renewable consumption and reducing stress on the electric grid, battery storage creates new revenue opportunities for commercial customers while supporting local energy stability.

Scalability and Outlook

The financial outlook for the project is aggressive, with projections suggesting a 90% reduction in net utility costs and a full investment recovery period of five years.

This deployment provides a scalable blueprint for other commercial businesses facing the dilemma of adopting high-power EV infrastructure. As the U.S. continues to roll out commercial charging networks, the combination of AI-driven management and onsite storage may become the standard for maintaining both grid stability and business profitability.