Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_UKPN0028 | |
| Title | Recharge the Future | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy Models) 25%; Other Cross-Cutting Technologies or Research(Energy system analysis) 25%; Energy Efficiency(Transport) 10%; Other Power and Storage Technologies(Electricity transmission and distribution) 35%; Other Power and Storage Technologies(Energy storage) 5%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | SOCIAL SCIENCES (Town and Country Planning) 20%; PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 55%; |
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| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Other Systems Analysis) 100% | |
| Principal Investigator |
Project Contact No email address given UK Power Networks |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 October 2017 | |
| End Date | 01 January 2019 | |
| Duration | ENA months | |
| Total Grant Value | £239,750 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , UK Power Networks (99.999%) |
| Other Investigator | Project Contact , UK Power Networks (0.001%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_UKPN0028 |
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| Objectives | Three main streams of work will be used to complete this project:1.Model EnhancementThe EV module of Element Energy Load Growth model, which UK Power Networks currently uses to forecast EV load growth, will be enhanced. The enhancements will enable modelling of the effects of geospatially varying charger utilisations in complex environments, such as London, where low emissions zones and super charger infrastructure are likely to have large impacts on electric vehicle load distribution.2.Charger Use StudyThe Charger Use Study will have three main objectives:a.Define and quantify the dynamic relationships between charger load profiles and demographic, geographic or other related characteristics so that suitable load profiles can be assigned to chargers in various locations.b. Assess the impacts of commercial supercharger infrastructure and other uncertainties (such as government policies, smart charging, vehicle to home & vehicle to grid technologies); creating a set of scenarios which illustrate these uncertainties so that sensitivity analyses can be completed, demonstrating advantages and disadvantages of adopting various strategies, technologies and policies. These findings may be used to inform DNO EV strategies, and advise government on EV policy.c.Formulate a methodology to validate the load growth model, acquiring the appropriate information to complete this.The Charger Use Study will consist of four work packages:-Literature & Data Review to understand and learn lessons from research that has already been completed.-GB EV Market Study to understand the current market and the various ways in which it may change in order to characterise and detail each sensitivity scenario.-Study of Charging Behaviour in regions with high electric vehicle penetration understand how charging behaviours in regions with high electric vehicle penetration (such as California and Norway) are effected by demographic, geographic or transport network conditions, so that charger load profiles and utilisations are understood as electric vehicle penetration increases.-Report a publicly available report which details the studies taken place, their findings and lessons learned, but also recommendations on modelling parameters and sensitivity scenarios.3.Reinforcement Impact AssessmentThe study and forecasting model will be used to generate a set of load forecasts for all EPN, LPN and SPN substation under each set of scenario conditions. LV & HV impact analyses will be conducted using Imperial Colleges Load Related Expenditure Model. EHV impact analyses will be completed by UK Power Networks Infrastructure Planning Teams. The project will model the growth and profiles of on street, work, residential and commercial chargers connected directly and indirectly to the LV, HV & EHV distribution networks. Commercial fleet depots will not be included in this study. This is due to:These connections are expected to be sporadic in nature, making it impossible to predict the date, size, load profile and location that these depots will connect.These connections must be approved by the network operator, so will not contribute to unplanned capacity shortfalls. Publish a report on the outputs of the Charge Use Studys relevant learning.Revise the EV forecasting tool based on the Charger Use Study findings.Test the revised EV forecasting tool by developing revised load forecasts and assessing the potential impact on investment required in the medium to long term. | |
| Abstract | The project will model the growth and profiles of on street, work, residential and commercial chargers connected directly and indirectly to the LV, HV & EHV distribution networks. Commercial fleet depots will not be included in this study. This is due to:These connections are expected to be sporadic in nature, making it impossible to predict the date, size, load profile and location that these depots will connect.These connections must be approved by the network operator, so will not contribute to unplanned capacity shortfalls. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 15/12/22 | |
