Project Details
Description
The V2GO project was funded by Innovate UK and investigates novel tools, technologies and business models, facilitating the successful integration of Vehicle-to-Grid (V2G) services into the power system and mobility value-chains. The project was particularly focused on V2G for electric vehicle fleets, given that fleet managers can drive large-scale organisational change if a high value opportunity can be identified. The project addressed this challenge, through real-world V2G field trials (on the order of 100 electric vehicles and 100 charge points) and power+mobility modelling to analyse the complex interactions between electric fleet usage, charging infrastructure and the integration of V2G services into power system operation.
The project was led by EDF Energy, and brought together a consortium that spanned a significant subsection of the power system and mobility value chains: Arrival (a UK based electric vehicle designer and manufacturer), EO (a UK based charge point manufacturer and integrator), Fleet Innovations (a UK based consultancy with expertise in GPS telemetry) and Upside Energy (a UK based energy storage aggregator). The research objectives were supported by two research groups at the University of Oxford, the Energy and Power Group and the Transport Services Unit.
The key research objectives were to:
- Investigate how V2G can provide value to the existing and expected operations of the power system and electric vehicle fleets/users, and new business models and strategies which could support V2G.
- Develop an electric vehicle power+mobility modelling framework, to understand the complex interactions between fleet usage, charging infrastructure and V2G services.
- Conduct real-world V2G field trials, involving on the order of 100 vehicles and 100 charge points.
- Develop a platform for coordinating real-time V2G operation to maximise value considering power system and mobility value chains.
- Develop a toolkit allowing V2G aggregators and fleet managers to work together to quantify the potential benefits of fleet electrification, and the added value of providing V2G services.
- Investigate the broader potential value of V2G, as well as key risks and barriers.
The project was led by EDF Energy, and brought together a consortium that spanned a significant subsection of the power system and mobility value chains: Arrival (a UK based electric vehicle designer and manufacturer), EO (a UK based charge point manufacturer and integrator), Fleet Innovations (a UK based consultancy with expertise in GPS telemetry) and Upside Energy (a UK based energy storage aggregator). The research objectives were supported by two research groups at the University of Oxford, the Energy and Power Group and the Transport Services Unit.
The key research objectives were to:
- Investigate how V2G can provide value to the existing and expected operations of the power system and electric vehicle fleets/users, and new business models and strategies which could support V2G.
- Develop an electric vehicle power+mobility modelling framework, to understand the complex interactions between fleet usage, charging infrastructure and V2G services.
- Conduct real-world V2G field trials, involving on the order of 100 vehicles and 100 charge points.
- Develop a platform for coordinating real-time V2G operation to maximise value considering power system and mobility value chains.
- Develop a toolkit allowing V2G aggregators and fleet managers to work together to quantify the potential benefits of fleet electrification, and the added value of providing V2G services.
- Investigate the broader potential value of V2G, as well as key risks and barriers.
| Acronym | V2GO |
|---|---|
| Status | Finished |
| Effective start/end date | 1/06/18 → 30/11/20 |
| Links | https://gtr.ukri.org/projects?ref=104229 https://www.tsu.ox.ac.uk/research/v2go/ https://epg.eng.ox.ac.uk/our-research/v2go/ |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.