For EV installers, operators and developers, predicting how many charge points are needed, what charge point types, and where they should be located is inherently difficult without the right data.
Access to granular data about charging demand, network capacity, Public Transport Accessibility Levels, and location suitability to identify and optimise potential EVCP locations, avoid wasted effort and collaborate with key stakeholders is now available.
Our granular data can be combined with our cloud based net zero planning platform LAEP+ (Local Area Energy Planner Plus), or is available as a stand alone datasets in API or exportable file formats.
This dataset assesses parking availability for properties, showing the quantity of cars that can be parked between the road and the building.
This dataset rates the suitability of pavements for the installation of on-street EV charge points.
This datasets represents the maximum amount of capacity that a substation can accommodate and the available capacity.
LAEP+ is a collaborative web-based mapping and design tool that helps EV Solution Providers, Local Authorities and Distribution Network Operators come together to plan and accelerate the roll out of Electric Vehicle Charge points.
Web based and cloud based enables the data to be kept up to date, shared across different groups as well as it being visualised, over-layed and brought together in one place.
LAEP+ supports those responsible in transitioning to renewable energy faster, cost-effectively and collaboratively from project inception, design, delivery and final implementation.
Visualise electricity network capacity, pavement suitability, and predicted EV charging demand data on one platform
Reduce project site identification time by up to 90%
Reduce the cost of feasibility assessments by up to 90%
Forecast potential EV charge point deployment rates over time
Improve the quality of connection requests
The tool has been a strong asset to our EV team, allowing us to assess and shortlist potential charge point sites based on a number of factors including network capacity, availability of off-street parking and proximity to existing charge points. This is an invaluable step saving time and resources in the implementation process.
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