An electric vehicle spends much of its life parked. With the right equipment, some vehicles can supply energy to a building or back to a grid. That suggests an interesting market for flexible electricity, especially for fleets and buildings that already own the batteries.
The U.S. Department of Energy's bidirectional-charging guide[1] explains vehicle-to-building and vehicle-to-grid applications, including resilience and demand response.
The battery has another job §
A service vehicle must be ready to drive its route. Its owner may not want to discharge it during a high-price electricity interval if doing so risks the next morning's work.
A useful optimization model must track departure deadlines, required state of charge, charging power, battery constraints, electricity prices, utility participation rules and the opportunity cost of taking the vehicle away from transportation.
For example, a theoretical price difference of $0.20 per kWh across 30 kWh suggests $6 of gross arbitrage value. Converter losses, battery degradation, program fees and the vehicle's operational needs can erase that margin. The calculation is illustrative, not an offered tariff.
From a device to an operating program §
The same resource can appear as an energy asset, transportation asset and piece of equipment owned by a business. Its identity and authority have to carry across those applications.
Our Aurekai research on physical capacity and resource allocation treats this as a broader pattern: a resource has multiple potential uses, but only one physical state at a time.
The interesting software is the scheduler and business workflow that decides when capacity is genuinely available, rather than a dashboard that merely displays the battery size.
Sources and further reading
References point to original material linked in the essay, not independently invented citations.
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