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EV infrastructure investment calculator (EVIC)

电动汽车基础设施投资计算器（EVIC）

基本信息

批准号：
80683
负责人：
金额：
$ 17.29万
依托单位：
ZETA SPECIALIST LIGHTING LIMITED
依托单位国家：
英国
项目类别：
Collaborative R&D
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=80683
关键词：
EV infrastructure investment calculator EVIC

项目摘要

The planned expansion of EV's throughout the UK relies on a backbone of EV charging infrastructure being in place to support the switch from ICE to EV. This infrastructure requires significant investment that will secure future returns as and when the EV uptake expands. In order to secure investment for this infrastructure there needs to be a clearly identified business case. This project harmonises the results from previous IUK projects (Park and Charge feasibility and Electra) and develops the site locator and business case investment tools resulting from these projects into an investment calculator which will clearly demonstrate to investors the likely return on investment from infrastructure deployment. This will enable a rapid expansion in the deployment of EV chargers in the right places at the right times, matching supply to demand, matching investor to returns. It is essential that the best locations can be identified which match local demand from EV users for hubs and overnight charging as this will ensure best usage uptake and hence best returns for investment. Data to support the identification of sites and the returns has already been identified by previous successful IUK projects, it is this project's aim to further enhance this data with modelling and new data sets from existing EV chargers that will prove the case for investment into EV charging infrastructure.

整个英国电动汽车的计划扩张依赖于电动汽车充电基础设施的骨干，以支持从ICE到EV的转换。这一基础设施需要大量投资，以确保在电动汽车普及扩大时获得未来回报。为了确保对这一基础设施的投资，需要有一个明确的商业案例。该项目协调了以前的IUK项目（公园和充电可行性和Electra）的结果，并将这些项目产生的场地定位器和商业案例投资工具开发成投资计算器，向投资者清楚地展示基础设施部署的可能投资回报。这将使电动汽车充电器在正确的时间在正确的地方快速扩张，使供应与需求相匹配，使投资者与回报相匹配。至关重要的是，可以确定最佳位置，以满足电动汽车用户对枢纽和夜间充电的当地需求，因为这将确保最佳的使用率，从而获得最佳的投资回报。先前成功的IUK项目已经确定了支持站点识别和回报的数据，该项目的目标是通过现有电动汽车充电器的建模和新数据集进一步增强这些数据，这些数据将证明投资电动汽车充电基础设施的情况。