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Driving Smarter EV Charge Point Site Selection with LAEP+: Bridging the UK’s Charging Gap

LAEP
Transport & Mobility
Data
Grace Matthews, Head of Marketing, Advanced Infrastructure

Published On:

January 10, 2025

The UK is celebrating record growth in EV charge point deployment, as highlighted by Zapmap’s latest figures. This surge is a vital step toward achieving the ambitious goals of the Zero Emission Vehicle (ZEV) mandate, which requires 80% of new cars and 70% of new vans sold in Great Britain to be zero emission by 2030.

More than 20,000 new charge points were installed throughout 2024, bringing the total number across the country to 73,699 — a year-on-year increase of 38%. 

However, while on-street charging infrastructure is expanding, 72% of these chargers are concentrated in Greater London, leaving much of the UK underserved. Areas like Coventry and Liverpool have demonstrated good local availability, but the variability of provision at a local level poses a significant challenge. To truly enable widespread EV adoption, the focus must shift toward equitable, data-driven deployment across the country.

At Advanced Infrastructure, we believe that bridging this gap requires leveraging smart technology and granular data. In this blog we explore how our award-winning LAEP+ platform is empowering stakeholders to overcome deployment challenges, ensuring EV charge points are sited effectively, grid capacity is optimised, and underserved regions are prioritised.

How LAEP+ Bridges the Gap in EV Charging Deployment

The LAEP+ platform is uniquely positioned to address these challenges, enabling stakeholders to make data-driven decisions that support equitable, efficient, and scalable EV infrastructure rollout.

LAEP+ (Local Area Energy Planning Plus) is an award winning data and visualisation tool designed to revolutionise low carbon technology deployment. By integrating granular data with advanced analytics, LAEP+ empowers stakeholders, local councils, charge point operators, and planners to make smarter decisions, optimise EV charge point placement, and address deployment challenges effectively.

1. Targeting Underserved Areas with Granular Data

LAEP+ integrates geospatial and demographic data to identify underserved areas with high EV adoption potential. For instance, the platform highlights:

  • Areas where residents lack off-street parking and rely on public charging.

  • Locations with low current charge point density but growing EV adoption trends. By prioritising these underserved areas, LAEP+ ensures that infrastructure is deployed equitably across the UK, driving adoption outside of major cities like London.
Potential for off-street parking data as visualised as a heatmap in the LAEP+ platform shows the darker the colour the higher the percentage of buildings without off-street parking, with red representing no off-street parking availability, amber representing off-street parking availability for 1 vehicle, and green representing off-street parking availability for 2 or more vehicles.

2. Optimising Site Selection for Maximum Impact

With LAEP+, stakeholders can analyse factors such as pavement suitability for EV charge points and off-street parking availability to pinpoint the best sites for new charge points. The platform’s predictive capabilities forecast future demand, ensuring that deployment strategies align with both current and anticipated needs.

This data-driven approach supports stakeholders in bridging the charging gap across regions, enabling EV drivers nationwide to access reliable infrastructure.

3. Managing Grid Capacity for Sustainable Scaling

Scaling EV charge points sustainably requires careful management of electricity grid capacity. LAEP+ integrates electricity substation capacity data to:

  • Identify areas where new charge points can connect without overloading the grid.

  • Avoid costly and time-consuming grid upgrades by pre-screening sites for feasibility. This ensures that the rollout of EV infrastructure supports growing demand without compromising grid reliability.
Electricity substation supply area data as visualised in the LAEP+ platform. Each polygon represents the areas served by individual substations in the UK. Red represents more than 5% overloaded, amber represents between 5% overloaded and 5% headroom, and green represents more than 5% headroom.

4. Modelling and Assessing the Impact of EV Charge Point Deployment

One of the standout features of the LAEP+ platform is its Projects feature, which allows stakeholders to plan, model, and assess the financial and environmental impact of new EV charge point deployments. This tool provides an integrated, easy-to-use solution for building deployment projects based on site suitability and grid capacity, enabling users to:

  • Model deployment costs and carbon avoidance potential: The Projects feature provides an in-depth analysis of the costs associated with installing new charge points and the carbon savings they will generate.

  • Run assessments to evaluate feasibility: Before moving forward, planners can simulate different scenarios to test the viability of each site. This helps them make more informed decisions and ensure that funds are being allocated effectively.

  • Generate data-backed funding applications: With clear evidence of ROI and environmental impact, stakeholders can justify their funding requests with greater confidence, making it easier to secure support and move forward with deployment.
The Projects feature within the LAEP+ platform enables planners to build projects based on site suitability and run assessments to calculate and evidence the carbon savings and deployment costs for EV charge points.

Read More: Empowering Birmingham City Council's EV Charging Strategy with LAEP+ and Granular Data

Take Action Today

With LAEP+, Advanced Infrastructure is helping charge point operators, local authorities, and planners close the charging gap by leveraging granular data and digital twin technology.

Book your Free LAEP+ and Data Demo: Complete the form in this link and book a time and date that's convenient for you.

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Grace Matthews
Grace Matthews