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PayLoad – Industrial Research to link Commercial Vehicle Smart EV Charging with Advanced Grid Demand Analytics

PayLoad – Industrial Research to link Commercial Vehicle Smart EV Charging with Advanced Grid Demand Analytics
PayLoad — 工业研究将商用车智能电动汽车充电与先进的电网需求分析联系起来
批准号:
10087180
负责人:
金额:
$50.74万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

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中文摘要
翻译
英国和瑞士是交通运输脱碳的先驱,到2020年,英国的交通运输碳当量(Co2e)排放量约占总排放量的24% (BEIS)。到2050年实现净零排放需要对交通基础设施进行重大改革,包括电动汽车(EV)充电器增加20倍(德勤,2022年)。在全球范围内,向电动汽车的过渡需要在电动汽车充电、电力生产和电网平衡电池基础设施方面投资约2400亿英镑(麦肯锡,2022年)。此次英瑞双边合作研发机会鼓励项目合作伙伴Aegis Energy、Innovum和AKTEK开发一项名为“PayLoad”的新计划,以帮助解决新公共电动汽车充电基础设施投资面临的挑战。PayLoad试图通过将预测的电网需求与充电点运营商(CPO)控制系统联系起来,解锁公共商用车(CV)充电点的私人投资。英国的汽车约占该国二氧化碳排放量的10% (ElementEnergy,2023年)。随着英国即将禁止新的化石燃料汽车,以及瑞士最近通过的2050年净零排放法,货车和重型货车的电气化在这两个国家都在加速发展。在英国,cv的完全电气化可能需要182-246TWh的新能源(Haugen-et-al, 2022),相当于英国2019年全部电力生产的三分之二。英国运输部(DfT)委托进行的研究强调了优化储能解决方案和充电设施以防止电网风险和确保投资的重要性(Haugen-et-al, 2022)。瑞士面临的挑战是类似的,因为它寻求减少对核能的依赖,同时迅速使其工业脱碳(IEA,2023)。为了应对这些挑战,PayLoad为CPO和最终用户运输和物流车队引入了CV电气化的推动因素,将公共CV充电站的预测电网需求与CV充电槽的预先预订联系起来,从而提高了自动化CPO设备和电网平衡控制系统的效率。有效载荷对电动汽车车队和司机、电动汽车基础设施开发商和投资者都有好处。通过用户友好的应用界面,PayLoad的开发将使CV车队经理能够预先预订充电点位置,确保即使在高峰时段也可以充电。通过利用历史数据和车辆远程信息处理,PayLoad允许cpo和电网利益相关者分析电网使用情况和车辆移动模式,并结合实际预订量,预测需求。这种数据驱动的方法使cpo能够向基础设施投资者证明业务案例,并满足适当规模的充电点电力需求,最终优化能源消耗,降低电网过载的成本和风险。
英文摘要
The UK and Switzerland are pioneers in decarbonising transport, which in the UK was responsible for ~24% of all carbon-equivalent (Co2e) emissions in 2020 (BEIS). Reaching net zero emissions by 2050 necessitates significant transport infrastructure changes, including a 20-fold increase in electric vehicle (EV) chargers (Deloitte, 2022). On a global scale, the transition to electric vehicles calls for an investment of approximately £240bn in EV charging, electricity production, and grid-balancing battery infrastructure (McKinsey,2022).This UK--Switzerland Bilateral: Collaborative R&D opportunity has encouraged project partners Aegis Energy, Innovum and AKTEK to develop a new initiative called 'PayLoad', to help address challenges facing investment into new public EV charging infrastructure. PayLoad seeks to unlock private investment for public commercial vehicle (CV) chargepoints by linking predicted electricity grid demand with chargepoint operator (CPO) control systems.CVs in the UK produce roughly 10% of the country's Co2e emissions (ElementEnergy,2023). With the UK's imminent bans on new fossil-fuel CVs, and the recently passed Swiss Net Zero 2050 law, the electrification of vans and HGVs is accelerating in both countries.Complete electrification of CVs in the UK could demand 182-246TWh of new energy (Haugen-et-al, 2022), an amount equivalent to two-thirds of the UK's entire electricity production in 2019\. Department for Transport (DfT) commissioned research has highlighted the importance of optimising energy storage solutions and charging facilities to prevent risks to the grid and to secure investment (Haugen-et-al, 2022). The challenges facing Switzerland are similar as it seeks to reduce reliance on nuclear energy while rapidly decarbonising its industry (IEA,2023).PayLoad responds to these challenges by introducing enablers of CV electrification for both CPOs and end-user haulage and logistics fleets, linking:* predicted grid-demand at public CV electric charging stations, with* advance pre-booking of CV charging slots, enabling* improved efficiency of automated CPO equipment and grid-balancing control systems.PayLoad benefits CV fleets and drivers, as well as EV infrastructure developers and investors. With a user-friendly app interface, PayLoad's development will empower CV fleet managers to pre-book chargepoint slots, ensuring access to charging even at peak times. And by leveraging historical data and vehicle telematics, PayLoad allows CPOs and grid stakeholders to analyse grid use and vehicle movement patterns, layered with actual pre-bookings, to forecast demand. This data-driven approach enables CPOs to evidence the business case to infrastructure investors, and to right-size chargepoint power requirements, ultimately optimizing energy consumption and reducing the costs and risks of grid overload.
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