Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_SSEN_0038 | |
| Title | E Tourism | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 50%; Energy Efficiency(Transport) 10%; Other Power and Storage Technologies(Electricity transmission and distribution) 40%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Other Systems Analysis) 50%; Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 50%; |
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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 July 2019 | |
| End Date | 01 September 2022 | |
| Duration | ENA months | |
| Total Grant Value | £401,000 | |
| 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 , Scottish Hydro Electric Power Distribution plc (SHEPD) (0.001%) |
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| Industrial Collaborator | Project Contact , Scottish and Southern Energy plc (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_SSEN_0038 |
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| Objectives | This project will be carried out using a staged approach to bring together the learning from research, modelling, design and development phases to identify significant peaks in demand during the tourist season and where suitable, local flexible solutions which could be utilised and trialled as part of the project. The learnings from each stage will be used to inform the strategic investment required to ensure continued security and resilience of the network, whilst facilitating the continued growth of EVs. The project will build on the existing work on Regional Energy Scenarios currently being undertaken by Regen and collaborating and consulting with stakeholders such as Transport for Scotland, Visit Scotland and local authorities. All these stakeholders have significant knowledge and experience in their respective areas. The method will follow the stages outlined below:Stage 1 ResearchThis will be the initial plan for data requirements to understand current and future tourist growth, areas of significant tourist attractions and season traffic flows in the North of Scotland. The aim will be to develop understanding of potential EV vehicle flows based on current conventional vehicle movements. It will also be established which use cases will be investigated further, for example:1. Journey starting points where EVs will be collected/returned2. Stopping points where EVs will need to charge whilst tourists visit an attraction3. Accommodation where tourists will have overnight stays4. Arterial Routes flows of traffic between key hubsNetwork data will be gathered to understand the current network status, capability and predicted future energy demands for each use case. This will be supported by SSEN Regional Scenario Modelling which will be delivered by Regen in Summer 2019 as part of a separate project. Stage 2 Modelling Using the data gathered as part of Stage 1, the project will model this data to understand the impacts of EV charging against the agreed use cases. The model will provide a technical view for inclusion and analysis in system planning as well as visibility for external stakeholders to signpost potential issues. The model will identify which use cases highlight network constraints and therefore required to be focused on to maintain resilience particularly during the tourist season. Stage 3 - Design and Development of local flexibility solutionsThis stage will focus on identifying, through stakeholder workshops (such as local communities) and/or tendering exercises suitable flexibility solutions which will assist with any constraint issues identified as part of Stage 2 and meeting the increased demand identified as part of the modelling in stage 2. These solutions will add resilience to the network during the tourist season and winter. Recommendations will be reported to highlight priorities (both conventional and innovative) for each specific use case and if appropriate, suitable local flexibility solutions and funding arrangements which may be trialled as part of this project will be identified. Stage 4 - Trial of Local Flexibility SolutionThe selected flexibility solution(s) methods will be developed and trialled where appropriate. A conclusion report will be developed to determine its success. Stage 5 Reporting on outputs / Dissemination The final stage will consist of reporting of recommendations for each use case for the network strategic investment (both conventional and innovative methods) and final recommendations for local flexibility solutions to ensure security and resilience of the network, whilst facilitating the continued growth of EVs and the tourism sector. This report will contain guidance on the issues, methods and options for those authorities with responsibility for providing EV charging infrastructure. It will also provide the DNO community with recommendations on how the current connections process should be modified to support efficient delivery. The learning will be disseminated to local and national stakeholders, DNOs and Charge Point Providers. The scope of the project is to carry out traffic flow and network modelling to understand the impact of EV charging. It will also design and develop a trial of specific network and local flexibility solutions to assist with security of electric supply to EV charging hubs to deal with highly seasonal charging peaks in the tourist season. The geographical scope of the project will be a tourist route suitably representative of the primary tourist routes.The output will be proven through a modelling tool highlighting geographical areas of improvement calibrated against a real-life trial of a local flexibility solution(s). The output of both the modelling tool and real-life trial of the flexible solution will feed into a report which captures all learnings and provides system planning with appropriate guidance of areas of focus for investment on the network. The method will be transferrable to other parts of the UK where the appropriate data is available. 1. Understand how increased EV uptake and tourist patterns will impact seasonal peak demand on the network. 2. Identify the scale, location and duration of any increased charging demand broadly for the North of Scotland followed by an in-depth study of specific locations.3. Enhance stakeholder engagement for helping local community groups, local authorities and other organisations to understand impacts of heightened EV tourism will have on local demand. 4. Identify suitable local flexible solutions to assist in demand management during seasonal peaks but also benefiting residents all year round. These solutions may extend beyond charge points only to options such as valet charging.5. Inform investment strategies for network development based on expected impacts of EV uptake and tourist patterns. | |
| Abstract | See problem statement | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/12/22 | |
