Industrial & Manufacturing

EV Sites

Validate EV charging infrastructure layouts, grid connection demands, and site feasibility — enabling faster investment decisions for EV network operators.

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Also in Industrial & Manufacturing EV Factories Complex Factories Manufacturing Facilities

EV charging site with multiple charge points, grid infrastructure, and optimised vehicle routing

The Problem

EV site errors reduce utilisation for the life of the asset

EV site planning errors — undersized grid connections, suboptimal charger placement, or poor site access — reduce utilisation and revenue for the operational life of the asset. In a sector where site performance directly determines network ROI, these are not recoverable mistakes.

Without DBF	With DBF
Charger placement and site coverage optimised in separate workstreams	AI generates EV site layouts scored against utilisation and coverage KPIs
Grid connection and power demand estimated	Demand modelled from charger configurations before grid applications
Site access, circulation, and queuing planned intuitively	Access, vehicle routing, and queuing scenarios tested simultaneously
Future charger density assumed	Scalability scenarios tested for network growth and technology upgrades

Process

How It Works

Process Mapping

Upload production flow requirements, site constraints, and operational targets. DBF maps process data to spatial parameters.

Layout Generation

The AI generates factory layout configurations scored against production flow, efficiency, and brief compliance.

Flow Validation

Every production adjacency and process relationship validated before design begins. Conflicts surface at feasibility with impact scores.

Infrastructure Sizing

Specialist utilities, high-voltage, and MEP infrastructure demands modelled from process and production data — not estimated.

Compliance Checking

Safety zoning, hazardous material areas, and regulatory requirements validated at feasibility stage, not detailed design.

BIM Handoff

Validated factory layouts, process flows, and infrastructure data export directly to BIM, eliminating manual re-entry.

Platform

Built for EV network planning at scale

Every DBF capability is designed for the specific demands of EV site planning — where charger placement, grid demand, and site access interact to determine operational performance from day one.

AI EV site layout generation
Grid connection and power demand modelling
Vehicle routing and access analysis
Utilisation and coverage KPI scoring
Scalability and upgrade scenario testing
Planning authority report outputs

Who Uses DBF

Use Cases

EV site planning team reviewing charging layout, grid connection, and access scenarios

EV Network Operators

Network Planning Director

Validate site layouts, charger configurations, and grid connection requirements across multiple candidate sites before committing network investment.

Property Developers

Asset Manager

Test EV charging site configurations against utilisation projections, grid connection costs, and planning requirements before committing to development.

Fleet Operators

Fleet Decarbonisation Lead

Validate depot charging infrastructure layouts, grid connection demands, and charging schedule optimisation before committing to electrification investment.

Local Authorities

Infrastructure Director

Assess public EV charging network site options against coverage targets, grid capacity, and planning authority requirements simultaneously.

Future Vision

Planning the charging networks powering transport decarbonisation

As EV adoption accelerates and charging infrastructure demand intensifies, the need for data-driven EV site planning will grow. Grid connections will become constrained, planning requirements will tighten, and the competition for high-utilisation sites will increase. DBF enables faster, smarter feasibility for the charging networks underpinning transport decarbonisation — giving network operators and developers the spatial evidence to commit earlier and perform better.

Future vision of an optimised EV charging network site with high-density charging infrastructure

EV Sites

EV site errors reduce utilisation for the life of the asset

How It Works

Built for EV network planning at scale

Use Cases

Planning the charging networks powering transport decarbonisation

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