Projects
Projects: Projects for Investigator |
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| Reference Number | UKPNEN03 | |
| Title | Optimise Prime | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Transport) 80%; Other Power and Storage Technologies(Electricity transmission and distribution) 20%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given UK Power Networks |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 January 2019 | |
| End Date | 01 January 2022 | |
| Duration | ENA months | |
| Total Grant Value | £34,691,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | ||
| Investigators | Principal Investigator | Project Contact , UK Power Networks (100.000%) |
| Industrial Collaborator | Project Contact , Scottish and Southern Energy plc (0.000%) Project Contact , UK Power Networks (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/UKPNEN03 |
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| Objectives | Led by global data technology solutions provider Hitachi Vantara and UK Power Networks, this three-year project will see up to 3,000 EVs from Royal Mail, Centrica and Uber, supported by Scottish and Southern Electricity Networks, Hitachi Europe and Hitachi Capital Vehicle Solutions. It will be split into three trials, reflecting the three partner fleet use cases: Trial 1: Home Charging (British Gas) – A field study of charging behaviour and flexibility with a return to home fleet. Trial 2: Depot Charging (Royal Mail) – A field study of charging behaviour and flexibility with a depot-based fleet. Additionally, testing of profiled connections. Trial 3: Mixed Charging (Uber) – A study based on analysis of journey data from electric PHVs.Optimise Prime will create a detailed understanding of the impact of commercial EVs and the opportunities for flexibility. This will allow electricity network licensees to accurately forecast and plan mitigations, including flexibility and profiled connections, minimising costs for the connected and connecting customer. Depot-based tools and home charging strategies will allow fleet and PHV operators to electrify more quickly at a reasonable cost, without negatively impacting the distribution network.More information available at: UK Power Networks innovation website: https://innovation.ukpowernetworks.co.uk/projects/optimise-prime/ Optimise Prime website: https://www.optimise-prime.com/ | |
| Abstract | With businesses buying 58% of all new vehicles in the UK, it is expected that commercial vehicles will determine the speed of the transition to low carbon transport. Compared to vehicles used for domestic purposes, commercial electric vehicles (EVs) – i.e. vehicles used for business purposes, including the transport of passengers and goods – will have a much greater impact on the electricity network. Therefore, it is important that network operators, technology providers, fleet and transport companies work together to test and implement the best approaches to the EV rollout for commercial enterprises, while keeping costs low for network customers.Optimise Prime is the worlds largest trial of commercial EVs. It seeks to understand and minimise the impact the electrification of commercial vehicles will have on distribution networks. It will develop technical and commercial solutions to save customer costs (estimated to £207m savings by 2030) and enable the faster transition to electric for commercial fleets and private hire vehicle (PHV) operators. The project is also vital if the UK wants to meet its carbon reduction targets. The accelerated adoption of commercial EVs will save 2.7m tonnes of CO2, equivalent to Londons entire bus fleet running for four years or a full Boeing 747-400 travelling around the world 1,484 times. The flexibility provided by the project will also free up enough capacity on the electricity network to supply a million homes. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 26/10/22 | |
