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Impacts of electric vehicles on the electricity generation portfolio - A Scandinavian-German case study

机译:电动汽车对发电业务的影响-斯堪的纳维亚-德国案例研究

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摘要

This study investigates how electrification of the Scandinavian and German road transportation sectors under a stringent CO2 cap will influence investments in new electricity generation capacity up to Year 2050 and the dispatch of the electricity generation portfolio in Year 2030. We apply a cost-minimisation investment model and an electricity dispatch model of the Scandinavian and German electricity systems, assuming both optimised charging and a vehicle-to-grid (V2G) charging strategy for passenger electric vehicles (EVs). Different EV battery sizes and EV deployment levels are investigated in 11 different scenarios, whereby two of the scenarios include also electric trucks and buses using electric road systems (ERS). The results of the modelling show that with a cap on CO2 emissions, the additional electricity demand from an electrified road transport sector is met mainly by increases in the outputs from wind power and thermal power plants, in the form of coal in combination with carbon capture and storage. In Year 2030, wind power generation in Scandinavia and Germany increases by 7-30% depending on the EV scenario, as compared to a scenario without EVs, which corresponds to a few more percentage points than the increased demand from EVs in absolute terms. Furthermore, a V2G charging strategy for passenger EVs smoothens the net load curve and almost completely reduces the need for peak power capacity in the Scandinavian-German electricity system. The value of investing in solar power is also reduced in all the EV scenarios by 22-42%, as compared to a scenario without EVs. This is due to the fact that in Northern Europe solar power competes with EVs for peak power supply. ERS for mainly trucks and buses will increase the current load profile by up to 18 GW in the Scandinavian-German electricity system.
机译:这项研究调查了在严格的CO2上限之下的斯堪的纳维亚和德国道路运输行业的电气化将如何影响到2050年之前的新发电能力投资以及2030年之前的发电投资分配。我们采用了成本最小化的投资模型以及斯堪的纳维亚和德国电力系统的电力调度模型,同时假设了针对乘用电动汽车(EV)的优化充电和车辆到电网(V2G)充电策略。在11个不同的场景中研究了不同的EV电池大小和EV部署级别,其中两个场景还包括使用电动道路系统(ERS)的电动卡车和公共汽车。建模结果表明,在限制二氧化碳排放量的情况下,电气化道路运输部门的额外电力需求主要通过增加风力发电站和火力发电厂的输出(以煤炭和碳捕集的形式)来满足和存储。与没有电动汽车的情况相比,到2030年,斯堪的纳维亚半岛和德国的风力发电量将根据电动汽车的情况而增加7-30%,这绝对比电动汽车的需求增加几个百分点。此外,针对乘用电动车的V2G充电策略可平滑净负载曲线,并几乎完全减少了斯堪的纳维亚-德国电力系统对峰值功率容量的需求。与没有电动汽车的情况相比,在所有电动汽车的情况下,太阳能投资的价值也降低了22-42%。这是由于以下事实:在北欧,太阳能与电动汽车竞争峰值功率供应。在斯堪的纳维亚和德国的电力系统中,主要用于卡车和公共汽车的ERS将使当前负载曲线增加18 GW。

著录项

  • 来源
    《Applied Energy 》 |2019年第1期| 1637-1650| 共14页
  • 作者单位

    Chalmers Univ Technol, Dept Space Earth & Environm, Energy Technol, S-41296 Gothenburg, Sweden;

    Chalmers Univ Technol, Dept Space Earth & Environm, Energy Technol, S-41296 Gothenburg, Sweden;

    Chalmers Univ Technol, Dept Space Earth & Environm, Energy Technol, S-41296 Gothenburg, Sweden;

    Chalmers Univ Technol, Dept Space Earth & Environm, Energy Technol, S-41296 Gothenburg, Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Electric vehicle; Energy system modelling; Electric road systems; Peak power; Vehicle-to-grid; Smart charging;

    机译:电动汽车;能源系统建模;电力道路系统;峰值功率;车联网;智能充电;

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