Digital Local Area Energy Plan to build capacity and capability within Local Authority organisations.

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A Digital Twin for Energy Grids

Trustworthy ML approaches to energy consumption data

To develop a solar power forecasting platform for power grid operators that uses high-resolution asset maps to improve solar power generation forecast accuracy by up to 20%.

Data visualisation for strategic decision-making in the energy transition

Digital tools for Net Zero Places

Trustworthy ML approaches to energy consumption data

Digital and dynamic approaches to Local Area Energy Planning.

The service vision is a webGIS single page application which enables users to view, download/upload and analyse building-level data in order to plan and optimise the siting of any combination of low carbon technologies at scale. We aim to automate slow manual consultancy services with machine-to-machine integration.

Cloud based siting engine for the EV infrastructure sector

The **Zap-ZERO Carbon Routing Service for EV Fleets** offers an innovative electric vehicle (EV) fleet routing service. This innovation will enable fleet managers and EV drivers to plan zero/low carbon intensity routes, and forecast, track, and record the carbon emission associated with every journey and EV charging event. A key part of the project innovation and development will be the application of machine learning to improve the current Zap-platform's routing algorithms in what is a high dynamic data environment. Currently, no market solution exists for measuring the carbon emissions associated with every charging event and vehicle movement as all reporting is calculated using UK-averages for carbon intensity of the grid and EV energy use per mile. The core innovation of the Zap-ZERO project is to further extend the techniques developed by Advanced Infrastructure Technology by increasing the spatial resolution to include all EV charging locations. AIT's platform will provide unique data inputs to the Zap-Map routing engine to give fleet managers/drivers the additional routing option; namely zero- or lowest-carbon intensity routes. Under existing regulations, large and medium sized corporate fleets already have to report their carbon emissions using SECR approved methodologies based on established GHG Protocols. However these estimates are known to be incorrect by up to 30% between local and national emissions factors. In addition to providing operational routing solutions for daily vehicle movements, Zap-ZERO records all carbon emissions for every journey (stored in a Journey Data Record) which is available to fleet managers for annual reporting (using market and location based emissions).The project improves the visibility of available EV charging infrastructure and automates the planning of routes according to a fleet manager/driver's requirements which can be selected from: (i) most reliable, (ii) lowest cost, (iii) least time, and (iv) least carbon. In all cases routing can be planned on desktop or app and all routes accessed via app or in-dash using CarPlay and Android Auto vehicle platforms. All routing is fully dynamic and updated in real time in response to changes in availability status of charge points.

This industrial research project aims to develop a prototype from TRL 7 to 9 for public beta testing

This project explores industry applications of carbon flow modelling to assist in the measurement and reduction of carbon emissions in industry.