Mobility meets energy

Ready for departure. Responsive to the grid.

Coordinate charging around departure times, energy requirements, site capacity and changing electricity conditions.

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01 / THE COORDINATION PROBLEM

Charge for the journey. Plan for the grid.

Vehicles often plug in during periods of high electricity demand. Charging everything immediately can create avoidable peaks, while indiscriminate curtailment can compromise vehicle readiness.

OPERATING ENVIRONMENT

Fleet depots, public charging networks and residential charging portfolios with different dwell times, charger limits and service commitments.

DemandAvailabilityConstraintsOperating limits

The Delvrin intelligence layer

Understand the conditions.
Coordinate the response.

Charging schedules are built around energy required at departure. Price forecasts and network constraints inform where charging can move without compromising that requirement.

01

Translate departure requirements into charging windows.

02

Allocate site capacity across vehicles and time.

03

Re-plan when a vehicle arrives, leaves or changes its needs.

From capacity to action

Make the resources tangible.

Explore how asset state, available capacity and operating requirements come together in a reference portfolio.

ASSET INTELLIGENCEREFERENCE PORTFOLIO

EV Fleet / Cluster 128

Connected vehicles24,840
Average state of charge67%
Operating requirement89% by 07:00
Flexible capacity42 MW
Current actionShift charging

Expected operational value

01

Coordinate charging demand

02

Respect vehicle readiness

03

Manage site power constraints

Outcomes depend on the connected assets, operating constraints, data quality and programme design.

The next operating layer

Let’s coordinate
what comes next.

Explore what distributed energy orchestration could mean for your organization.

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