Impacts of fleet types and charging modes for electric vehicles on emissions under different penetrations of wind power

Chen, Xinyu; Zhang, Hongcai; Xu, Zhiwei; Nielsen, Chris P.; Lv, Jiajun

doi:10.1038/s41560-018-0133-0

Cited by 119 publications

(62 citation statements)

References 21 publications

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“…Coupling renewable energy (e.g., solar and wind energy) with EVs appears to a promising way to reduce the CO 2 emissions (Lund and Kempton, 2008), as the electricity generation would produce significantly less CO 2 emissions. For example, Chen et al (2018) found that a significant reduction in CO 2 emissions could be expected at several levels of wind penetration, using…”

Section: Previous Work On Assessing the Impacts Of The Ev Adoptionmentioning

confidence: 99%

Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China

Zhuge

Wei

Dong

et al. 2019

Journal of Cleaner Production

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This paper investigates the potential expansion and impacts of Electric Vehicle (EV) market in Beijing, China at the micro level with an agent-based integrated urban model (SelfSim-EV), considering the interactions, feedbacks and dynamics found in the complex urban system. Specifically, a calibrated and validated SelfSim-EV Beijing model was firstly used to simulate how the EV market might expand in the context of urban evolution from 2016 to 2020, based on which the potential impacts of EV market expansion on the environment, power grid system and transportation infrastructures were assessed at the multiple resolutions. The results suggest that 1) the adoption rate of Battery Electric Vehicle (BEV) increases over the period, whereas the rate of Plug-in Hybrid Electric Vehicle (PHEV) almost remains the same; Furthermore, the so-called neighbour effects appear to influence the uptake of BEVs, based on the spatial analyses of the residential locations of BEV owners; 2) the EV market expansion could eventually benefit the environment, as evident from the slight decrease in the amounts of HC, CO and CO 2 emissions after 2017; 3) Charging demand accounting for around 4% of total residential electricity demand in 2020 may put slight pressure on the power grid system; 4) the EV market expansion could influence several EV-related transport facilities, including parking lots, refuelling stations, and charging posts at parking lots, in terms of quantity, layout and usage. These results are expected to be useful for different EV-related stakeholders, such as local authorities and manufacturers, to shape polices and invest in technologies and infrastructures for EVs.

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Section: Previous Work On Assessing the Impacts Of The Ev Adoptionmentioning

confidence: 99%

Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China

Zhuge

Wei

Dong

et al. 2019

Journal of Cleaner Production

View full text Add to dashboard Cite

show abstract

“…For example, choosing different uncertainty sets for r-LAPB could take advantage of strong correlation among some loads. Future works also include designing approximation algorithms with optimality guarantees and exploring the benefits of controlling distributed generations [39][40][41], electric vehicles [42][43][44], energy storage [29,[45][46][47] and demand response [48][49][50][51].…”

Section: Discussionmentioning

confidence: 99%

Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads

Geng

Gupta

Xie

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Increasing penetration of highly variable components such as solar generation and electric vehicle charging loads pose significant challenges to keeping three-phase loads balanced in modern distribution systems. Failure to maintain balance across three phases would lead to asset deterioration and increasing delivery losses. Motivated by the real-world needs to automate and optimize the three-phase balancing decision making, this paper introduces a robust look-ahead optimization framework that pursues balanced phases in the presence of demand-side uncertainties. We show that look-ahead moving window optimization can reduce imbalances among phases at the cost of a limited number of phase swapping operations. Case studies quantify the improvements of the proposed methods compared with conventional deterministic phase balancing. Discussions on possible benefits of the proposed methods and extensions are presented.

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“…The charging behavior depends on the type of vehicles, the driving pattern of the vehicle owners and the incentives provided by tariff for use of electrical chargers. Reference [18] has shown that fast charging is counterproductive for wind integration and leads to an increase in CO 2 emissions. Slow-charging vehicles, in contrast, are beneficial for the renewable integration.…”

Section: Coordination With Different Energy Sectorsmentioning

confidence: 99%

“…A coherent tariff design is important to incentivize the use of slow charging rather than relying on the fast charging option. Private light duty vehicles, taxi and public buses have different emission intensities, driving behavior and annual miles traveled; different types of electric vehicles can have different impacts on air quality [18].…”

Section: Coordination With Different Energy Sectorsmentioning

confidence: 99%

Transition towards higher penetration of renewables: an overview of interlinked technical, environmental and socio-economic challenges

Chen

Shu

et al. 2018

J. Mod. Power Syst. Clean Energy

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Investment for renewables has been growing rapidly since the beginning of the new century, and the momentum is expected to sustain in order to mitigate the impact of anthropogenic climate change. Transition towards higher renewable penetration in the power industry will not only confront technical challenges, but also face socioeconomic obstacles. The connected between environment and energy systems are also tightened under elevated penetration of renewables. This paper will provide an overview of some important challenges related to technical, environmental and socioeconomic aspects at elevated renewable penetration. An integrated analytical framework for interlinked technical, environmental and socioeconomic systems will be presented at the end.

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Impacts of fleet types and charging modes for electric vehicles on emissions under different penetrations of wind power

Cited by 119 publications

References 21 publications

Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China

Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China

Robust Look-ahead Three-phase Balancing of Uncertain Distribution Loads

Transition towards higher penetration of renewables: an overview of interlinked technical, environmental and socio-economic challenges

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