【Applied Energy 最新原创论文】电动汽车充电能实现碳中和吗?将智能充电和可再生能源结合起来

文摘   2024-09-10 08:09   芬兰  

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原文信息:

Can electric vehicle charging be carbon neutral? Uniting smart charging and renewables

原文链接:

https://www.sciencedirect.com/science/article/pii/S0306261924009322


Highlights

(1)      Agent-based simulation of ten European electricity markets in Central Europe.

(2)      Simulating millions of EV under four different smart charging strategies by 2030.

(3)      Impacts on prices, curtailment, production- and consumption-based emissions.

(4)      All charging strategies reduce spot market prices and total renewable curtailment.

(5)      Charging with renewables in real-time minimizes purchasing costs for aggregators.

摘要

在欧洲,插电式电动汽车数量的增长将对电力系统产生越来越大的影响。利用基于主体的仿真模型PowerACE对中欧十个电力市场进行了分析不同的收费策略会影响价格水平和生产——以及基于消费的碳排放在法国和德国。应用的智能充电策略考虑了现货市场价格和/或实时价格可再生能源生产。而欧洲的碳排放总量并未因充电策略而发生显著变化对于能耗相对较小的电动汽车车队,我们的研究结果表明,所有的智能充电这些策略降低了现货市场的价格水平,降低了可再生能源的总弃电量。在这里,充电根据小时价格优化的流程效果最强。此外,智能充电策略与不受控制的充电相比,可将聚合器的购电成本降低约10%。此外,这些策略允许聚合器为充电车辆提供接近零的分配排放。一个聚合器的充电策略通过限制全国总电动汽车来扩展经典的电力成本最小化对可再生能源的需求达到现有电力生产的10%是最有利的结果在两个指标,采购成本和分配的排放量。最后,聚合器和插电式电动车所有者将受益于国家的实时原产地保证和各自的稀缺性可再生能源生产的信号。

Abstract

Growing numbers of plug-in electric vehicles in Europe will have an increasing impact on the electricity system. Using the agent-based simulation model PowerACE for ten electricity markets in Central Europe, we analyze how different charging strategies impact price levels and production- as well as consumption-based carbon emissions in France and Germany. The applied smart charging strategies consider spot market prices and/or real-time production from renewable energy sources. While total European carbon emissions do not change significantly in response to the charging strategy due to the comparatively small energy consumption of the electric vehicle fleet, our results show that all smart charging strategies reduce price levels on the spot market and lower total curtailment of renewables. Here, charging processes optimized according to hourly prices have the strongest effect. Furthermore, smart charging strategies reduce electricity purchasing costs for aggregators by about 10% compared to uncontrolled charging. In addition, the strategies allow aggregators to communicate near-zero allocated emissions for charging vehicles. An aggregator's charging strategy expanding classic electricity cost minimization by limiting total national PEV demand to 10% of available electricity production from renewable energy sources leads to the most favorable results in both metrics, purchasing costs and allocated emissions. Finally, aggregators and plug-in electric vehicle owners would benefit from the availability of national, real-time Guarantees of Origin and the respective scarcity signals for renewable production. 

Keywords

Energy system analysis

Electric mobility

Smart charging

Electricity markets

CO2 emissions

Renewable energies 

Graphics


Fig. 1. Calculation flow chart of simulation and emission factors.

Fig. 2. Visualization of the simulation framework PowerACE and interaction between CO2 emission factors.

Fig. 3. Schematic representation of the iterative disposition of PEV-specific charging loads by the aggregator .

Fig. 4. Average PEV-demand (lines) and RES provision (area) for a) Germany and b) France in 2030.

Fig. 5. Capacity development identical for all scenarios based on the uncontrolled charging scenario in a) Germany and b) France.

Fig. 6. Technology-specific generation in a) Germany and b) France with uncontrolled charging. 

Fig. 7. Arithmetic average spot market electricity prices in the smart charging scenarios in a) Germany and b) France across simulated timeframe relative to scenario “Uncontrolled”. 

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