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Pre-Enroll for 2027When a university electrified its campus fleet, it discovered a new problem: simultaneous EV charging sessions created massive demand spikes that drove significant utility charges. DemandQ's OCPP-integrated demand optimization solved the problem, reducing charging demand by 37% without restricting vehicle access or charging availability.
Electric vehicle fleet adoption is accelerating across university campuses and public sector organizations as sustainability mandates push organizations toward lower-carbon transportation. However, the transition from internal combustion to electric fleets introduces a new infrastructure challenge: EV charging creates concentrated, high-intensity electrical demand events that utility meters record as demand peaks.
A university operating an EV fleet partnered with DemandQ to demonstrate that intelligent demand coordination (not charging restrictions) is the right answer to EV-driven demand spikes. The pilot delivered a 37% reduction in charging-related demand with full fleet availability maintained throughout the study period.
When fleet vehicles return to campus at the end of shifts or service runs, multiple vehicles often plug in within the same short window. Each EV charger draws 7–19 kW or more during active charging sessions. When five, ten, or twenty vehicles charge simultaneously, the aggregate draw creates a demand spike that is recorded as a peak by the utility meter, driving a demand charge that applies to the full billing period.
The most obvious approach to reducing EV charging demand, simply restricting how many vehicles can charge simultaneously, creates a different problem: vehicles that aren't charged when needed can't be dispatched. For a university fleet serving campus transportation, maintenance, and operations functions, vehicle availability is a service requirement that cannot be compromised.
Basic EVSE management systems that apply simple power limits or static scheduling rules lack the intelligence to coordinate dynamic charging patterns while maintaining full fleet readiness. A smarter, adaptive approach was required.
DemandQ deployed its demand optimization platform with native OCPP (Open Charge Point Protocol) integration, enabling direct communication with the university's EV charging infrastructure and intelligent coordination of charging sessions across the fleet.
DemandQ's platform integrated directly with the university's EVSE infrastructure via the open OCPP protocol, the industry-standard communication protocol for EV chargers. No proprietary hardware or custom charging equipment was required.
Rather than restricting how many vehicles charge, DemandQ's system coordinated the timing and power level of active charging sessions to smooth the aggregate demand curve. Vehicles continued charging, but the peak draw was distributed more evenly over time.
DemandQ's optimization logic was configured with fleet readiness requirements, ensuring that vehicles needed for dispatch were prioritized for charging while demand coordination was applied to the remainder of the fleet.
The system monitored the instantaneous aggregate demand from all active charging sessions and adjusted individual session parameters in real time to prevent demand spikes before they formed.
37%
Verified reduction in peak demand attributable to EV fleet charging, achieved through intelligent charging coordination rather than vehicle or charging access restrictions.
The EV charging demand challenge is not unique to universities. Every organization electrifying a fleet (corporate campuses, municipalities, logistics operators, healthcare systems) will face the same dynamic: vehicle charging patterns create concentrated demand events that drive utility charges disproportionate to actual energy consumption.
DemandQ's OCPP-native integration means the same approach that delivered 37% demand reduction in this study is deployable against any EV charging infrastructure using the industry-standard Open Charge Point Protocol, without replacing existing chargers or adding proprietary hardware.
DemandQ's EV demand optimization integrates with standard OCPP charging infrastructure to eliminate charging-driven demand spikes. Contact us to discuss your fleet electrification program.