Impact of incentives for greener battery electric vehicle charging – A field experiment

Kacperski, Celina; Ulloa, Roberto; Klingert, Sonja; Kirpes, Benedikt; Kutzner, Florian

doi:10.1016/j.enpol.2021.112752

Cited by 15 publications

(6 citation statements)

References 67 publications

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“…However, in order to assess the real grid issues arising from the additional electricity demand from a 100% EV diffusion, also the electricity supply side would be needed to be looked at in the simulation: For the case of a distribution grid characterized by distributed renewable energy sources such as solar and wind, it might be desirable to match EV based power demand with intermittent power supply as well as meeting the grid's capacity constraints. In all cases, changing the charging behavior plays a crucial role which, if carefully planned (Kacperski et al 2022), can be very effective.…”

Section: Discussionmentioning

confidence: 99%

Using real mobility patterns to assess the impact of 100% electrified mobility in a German city

Klingert

Lee

2022

Energy Inform

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Until now, individual motorized mobility has been almost exclusively powered by fossil energy sources. The battle against climate change, however, requires a transformation of the mobility system with the ultimate objective of a full electrification of transport. Ultimately, this will increase considerably the load on the distribution grid both in overall size and through temporarily and locally distributed charging. This paper explores the effects of an assumed full electrification of individual motorized transport on the power grid in a major German city using real traffic data collected from a German traffic panel and employing a microscopic and dynamic travel simulation with the Simulation of Urban MObility tool. The main finding of the traffic simulation is that the local and temporary impact on the distribution grid is very sensitive to the distribution of charging stations and their geographical aggregation in transformers. However, behavior change in the form of charging at different points in time and locations or using less power can alleviate local peaks, up to 50% in the simulated scenario. Therefore, this paper addresses the previously uncovered need for a more profound and realistic computation that includes all important aspects of a proper traffic simulation. It further extends the barely covered field of dynamic simulations that operate on real mobility data. With that, limitations arise from the process of transposing driving data into geographical data as it is very sensitive to underlying assumptions. However, we are convinced that the spatialization of charging stations and the randomization of trip assignments represent the most transparent and meaningful way of overcoming these limiting factors.

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Section: Discussionmentioning

confidence: 99%

Using real mobility patterns to assess the impact of 100% electrified mobility in a German city

Klingert

Lee

2022

Energy Inform

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“…Charging choices are obviously also influenced by charge costs [26,96,97], or the possibility of using free parking [98], which can be used to influence charging preferences [99].…”

Section: Mobility and Charging Behavior Datamentioning

confidence: 99%

“…Drivers often prefer to charge electric vehicles at home or work rather than at a public charging station, as the price is lower [26,40,96,97]. Offering reduced charging prices during certain time slots can have a positive impact on the choices made by infrastructure users, even if the savings are marginal [99]. However, free charging at work can lead to unintended consequences, as it can encourage people to connect even if the residual autonomy is sufficient.…”

Section: Sensitivity To Costsmentioning

confidence: 99%

A Literature Review on the Charging Behaviour of Private Electric Vehicles

Andrenacci,

Valentini

2023

Applied Sciences

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Electric mobility is one of the ways of containing greenhouse gas and local pollutants emissions in urban areas. Nevertheless, the massive introduction of battery-powered electric vehicles (EVs) is introducing some concerns related to their energy demand. Modelling vehicle usage and charging behavior is essential for charge demand forecasting and energy consumption estimation. Therefore, it is crucial to understand how the charging decisions of EV owners are influenced by different factors, ranging from the charging infrastructure characteristics to the users’ profiles. This review examines the approaches used to investigate charging behavior and highlights the trends and differences between the results, remarking on any gaps worthy of further investigation.

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“…In the IPCC Sixth Assessment Report, Working Group III: Mitigation of Climate Change, mitigation measures in the transportation sector include reducing demand, combining electric vehicles with low-and zero-emission electricity, and using low-carbon hydrogen and biofuels in shipping and aviation [9]. Introducing electric vehicles (EVs) has been considered to reduce CO 2 emissions in the transportation sector, and a specific analysis has been conducted to determine their effectiveness [10,11]. The shift from internal combustion engine vehicles to EVs has been reported to be progressing rapidly [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Co-development of Low-speed Electric Community Buses for Local Area Revitalization

Amagai¹,

Kotake²,

Munemura³

et al. 2023

J Energ Power Technol

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This paper describes the development of low-speed electric community buses (LSECBs) designed by the author's group and their spread situation in Japan. LSECBs are electric vehicles that can travel on public roads at speeds of less than 5.56 m/s (20 km/h). The university, local government, local businesses, and residents with a co-design approach developed the LSECBs. They have various advantages such as safety due to low speed and low energy consumption. In particular, the LSECBs have features not found in ordinary vehicles, such as the ability to friendly talk with other passengers in the vehicle and to see the surroundings. The purpose of using LSECBs is mostly for sightseeing, but they are also used to enhance the mobility of elderly people in the community. In Japan, public transportation plans are formulated by each local government, but local governments with weak finances do not provide sufficient financial support to the companies responsible for public transportation. As a result, public transportation services have been reduced or eliminated due to the business conditions of private companies, and many elderly people with reduced mobility, called "people with shopping difficulties," have been left behind. Under these situations, it is necessary to discuss what kind of contribution LSECBs can make. Moreover, the LSECBs require special driving methods so as not to cause traffic congestion when mixed with other ordinal vehicles. In this paper, we report on the development concept, features of the LSECBs, their special driving method, positioning as a transportation policy, and their potential as stainable mobility.

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Impact of incentives for greener battery electric vehicle charging – A field experiment

Cited by 15 publications

References 67 publications

Using real mobility patterns to assess the impact of 100% electrified mobility in a German city

Using real mobility patterns to assess the impact of 100% electrified mobility in a German city

A Literature Review on the Charging Behaviour of Private Electric Vehicles

Co-development of Low-speed Electric Community Buses for Local Area Revitalization

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