Projects: Projects for Investigator |
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Reference Number | ENA_10027575 | |
Title | NAVIGATION | |
Status | Completed | |
Energy Categories | Energy Efficiency(Transport) 30%; Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 70%; |
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Research Types | Applied Research and Development 100% | |
Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100% | |
UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Project Contact No email address given SGN - Southern England |
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Award Type | Network Innovation Allowance | |
Funding Source | Ofgem | |
Start Date | 01 March 2022 | |
End Date | 01 May 2022 | |
Duration | 2 months | |
Total Grant Value | £149,725 | |
Industrial Sectors | Energy | |
Region | South East | |
Programme | ||
Investigators | Principal Investigator | Project Contact , SGN - Southern England (100.000%) |
Web Site | https://smarter.energynetworks.org/projects/ENA_10027575 |
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Objectives | ||
Abstract | Key to the UKs Zero Emission Transport strategy is alleviating consumer range anxiety and accelerating Electric Vehicles (EVs) adoption by deploying ultra-rapid (100-350 kW) EV chargers to high-utilisation locations. To deliver this will considerably affect business as usual for consumers and network businesses, at great capital expenditure.This project brings together proven technologies and existing energy infrastructure to:introduce a direct alternative to capital-intensive network reinforcements;divert costs from consumers and create the technical framework for revenuestreams to prosumers, and; scale EV uptake, furthering the UKs Net Zero agenda.The Planning and EV Charging Operation Utilising Low-Carbon Generators (NAVIGATION) Project aims to demonstrate how predictive grid mapping AI; fuel-flexible, pollutant-free power generation; and real-time optimisation and control technology can employ the gas network, as it evolves to 100% renewable, as an alternative energy vector for the power provision for ultra-rapid EV charging infrastructure.Project NAVIGATION brings together world-class expertise across AI (Farad.ai), distributed, renewable-fuelled power generation (IPG), optimal real-time control (SMPnet) and a key energy sector stakeholder (SGN):SGN is a leading gas network operator, already delivering on a number of innovation projects designed to enable and accelerate the transition to a hydrogen gas network.Farad.ais AI-powered Compass product will identify high-demand sites for ultra-rapid EV charging that currently cannot be served by electricity grid but are in proximity of a gas network connection (SGN). This technology is TRL 6/7.IPGs pollutant-free, fuel-agnostic power generator, the IPG Flameless Generator, will provide the additional capacity and balancing services using the gas network, as it transitions to hydrogen. IPGs technology is proven to be a clean, off-grid EV charging solution in a £1 million SBRI project with National Highways, funded via Innovate UK. This technology is TRL 6/7. SMPnets Smart Network Controller (SNC), a high-computing, powerful controller, will supervise, optimise, and control multi-vector energy assets, in real-time and in a coordinated manner. This product has been developed through Innovate-UK-funded projects entitled LMEX, INFINITE and Perth Smart Energy Network at a TRL 6/7.The end users of this project include funding schemes in charge of co-ordinating EV uptake, gas and electricity network owners and operators, EV users and indirectly regulators. The end users and wider stakeholders benefit from: faster EV charging in locations that meet demand; lower carbon emissions; higher air quality; access to new revenue streams; and, reduction of consumer costs by minimising network operators capital expenditures. | |
Publications | (none) |
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Final Report | (none) |
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Added to Database | 14/10/22 |