Environmental Impact of Electric Vehicles: Influence of Intelligent Charging Strategies

Fattler, Steffen; Regett, Anika

doi:10.1007/978-3-658-32471-1_15

Cited by 2 publications

(4 citation statements)

References 3 publications

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“…For the user groups (UGs), we refer to the dissertation of Steffen Fattler [34]. Twelve UGs are defined there, with shares ranging from 1.2% to 19.3%.…”

Section: Definition Of Relevant Personasmentioning

confidence: 99%

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Systemic Evaluation of PV Self-Consumption Optimization Using Electric Vehicles

Ganz,

Kern,

Hinterstocker

2024

WEVJ

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The shift to electric transportation is crucial to fighting climate change. However, Germany’s goal of 15 million electric vehicles (EVs) by 2030 remains distant. Therefore, enhancing their economic viability is essential to promoting EV adoption. One promising option to increase the economics for the user is PV self-consumption optimization using smart charging EVs. Yet, more research is needed to explore the use case’s impacts on the German/European energy systems. Therefore, PV self-consumption optimization using EVs is integrated into an energy system model, assessing its impact on the energy system in 2030. For this purpose, the use case is modeled for different groups of people—personas—which are defined in a way that creates a diverse set of personas reflecting the distribution of different statistical values within Germany. The modified (dis)charging profiles are then aggregated and integrated into the energy system model. With a high implementation of PV self-consumption optimization in Germany in 2030, a positive system effect (with a system cost reduction of 53 million EUR/a) can be observed with a lower need for further storage and less curtailment of renewable energies (RES). Furthermore, the market values for RES increase by 0.7%, which fosters the integration of RES.

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“…For the user groups (UGs), we refer to the dissertation of Steffen Fattler [34]. Twelve UGs are defined there, with shares ranging from 1.2% to 19.3%.…”

Section: Definition Of Relevant Personasmentioning

confidence: 99%

“…All categories and their respective features, IDs, values, and shares. The numerical values are based on[30][31][32][33][34].…”

mentioning

confidence: 99%

Systemic Evaluation of PV Self-Consumption Optimization Using Electric Vehicles

Ganz,

Kern,

Hinterstocker

2024

WEVJ

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“…The minimum value SoC min varies depending on the vehicle's location status, which is known for each point in time. Equation ( 2) summarizes the values that SoC min can assume: SoC min,sa f e for status = connected SoC min (t) = SoC min,dep for status = departure SoC min,disconnected for status = not connected (2) If the vehicle is connected to the electric grid, SoC min equals SoC min,sa f e . The storage level must not fall below this value or must load onto it as quickly as possible.…”

Section: State Of Chargementioning

confidence: 99%

“…Switching to electric vehicles (EVs) is one possible solution for lowering emissions. When comparing the carbon footprint of an EV to an internal combustion engine vehicle (ICEV), both the production of the battery as well as tailpipe emissions of the EV depend on the underlying energy system [2]. Due to a targeted reduction of CO 2 -emission of the European energy sector by up to 95% [3], at least operational emissions of EVs resulting mainly from charging electricity will decrease.…”

Section: Introductionmentioning

confidence: 99%

Integrating Bidirectionally Chargeable Electric Vehicles into the Electricity Markets

2020

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Replacing traditional internal combustion engine vehicles with electric vehicles (EVs) proves to be challenging for the transport sector, particularly due to the higher initial investment. As EVs could be more profitable by participating in the electricity markets, the aim of this paper is to investigate revenue potentials when marketing bidirectionally chargeable electric vehicles in the spot market. To simulate a realistic marketing behavior of electric vehicles, a mixed integer linear, rolling horizon optimization model is formulated considering real trading times in the day-ahead and intraday market. Results suggest that revenue potentials are strongly dependent on the EV pool, the user behavior and the regulatory framework. Modeled potential revenues of EVs of current average size marketed with 2019 German day-ahead prices are found to be at around 200 €/EV/a, which is comparable to other findings in literature, and go up to 500 €/EV/a for consecutive trading in German day-ahead and intraday markets. For future EVs with larger batteries and higher efficiencies, potential revenues for current market prices can reach up to 1300 €/EV/a. This study finds that revenues differ widely for different European countries and future perspectives. The identified revenues give EV owners a clear incentive to participate in vehicle-to-grid use cases, thereby increasing much needed flexibility for the energy system of the future.

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Environmental Impact of Electric Vehicles: Influence of Intelligent Charging Strategies

Cited by 2 publications

References 3 publications

Systemic Evaluation of PV Self-Consumption Optimization Using Electric Vehicles

Systemic Evaluation of PV Self-Consumption Optimization Using Electric Vehicles

Integrating Bidirectionally Chargeable Electric Vehicles into the Electricity Markets

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