Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_SSEN_0048 | |
| Title | Skyline | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Demographics) 25%; Energy Efficiency(Transport) 25%; Other Power and Storage Technologies(Electricity transmission and distribution) 50%; |
|
| 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 75%; Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 25%; |
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| Principal Investigator |
Project Contact No email address given Scottish and Southern Energy plc |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 September 2020 | |
| End Date | 01 June 2022 | |
| Duration | ENA months | |
| Total Grant Value | £811,623 | |
| Industrial Sectors | Power | |
| Region | Scotland | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Scottish and Southern Energy plc (99.999%) |
| Other Investigator | Project Contact , UK Power Networks (0.001%) |
|
| Industrial Collaborator | Project Contact , Scottish and Southern Energy plc (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_SSEN_0048 |
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| Objectives | The solution will be a step towards a central asset database of domestic electric EV charge-points, providing detailed visibility of their geographical emergence as early as possible. In order to achieve this, the project aims to: Establish and test mechanisms, in consultation with EV suppliers, EV charge point operators, installers and dealers to enable sharing of vehicle and charger enquiries and orders far sooner than that of the current post-installation notification; Develop an EV asset database, with notifications to the DNOs via an Application Programming Interface (API) – ensuring compliance with General Data Protection Regulation (GDPR) and any related data privacy obligations; Produce visually indicative maps or via the EV database, generate reports to support DNO planning for EV uptake; and Additionally design and test a new housing development alert system, predicated on the need for all new housing developments to have EV chargers installed in the future. The project consists of the following three stages:Stage 1 – Define data requirements, identify and engage with stakeholdersIdentify all available sources of information and agree the significant factorsEngage with stakeholders (EV charge point operators, installers and dealers, as well as EV suppliers)Identify barriers to collaboration and data sharing, including compatibility with DNO systems / requirementsCreation of a draft contract template agreement for data sharingAgree system ownership, usage and commercial arrangementsEarly notification of housing development design and testing Stage 2 – EV database development and data partner readinessDevelop the EV databaseSign up data sources from the identified stakeholdersCustomise database and create API / data interface for sources. Test with existing data sourcesSystem test and sign off for trialsEV API development Stage 3 – Trial and reportLaunch and trial of the system, bringing on selected data sourcesTest EV API to enable provision of Meter Point Administration Number (MPAN) level data to streamline charge point installation processTrial evaluation and validation of resultsDissemination of project learnings and attendance at events (e.g. Low Carbon Networks Innovation conference) The project objectives are: Identification of data requirements, targeting and engagement with key third-party data source companies for early visibility of EV charging connections Address barriers and sign agreements with Data Source Companies Create a database that will link to the data sources and provide the DNOs with the required EV data Conduct a six month trial of the system Develop proof of concept ready to scale to Business-As-Usual | |
| Abstract | In order to improve network planning to enhance customer experience on either EV load-related power interruptions or facilitating quicker connection times, there is a need for more timely and proactive information to be shared with DNOs. This will be facilitated with the ability to get ahead of the curve and know when EV charging demand is likely to be seen on our networks before it happens. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 02/11/22 | |
