Allocation of e-car charging: Assessing the utilization of charging infrastructures by location

Baresch, Martin; Moser, Simon

doi:10.1016/j.tra.2019.04.009

Cited by 43 publications

(28 citation statements)

References 23 publications

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“…The authors go on to identify the existence and quality of home charging points as the most important infrastructure-related factor in consumer adoption of PEVs (Hardman et al, 2018). This is upheld in an Austrian study, which estimates that 88% of PEV charges take place in private residences (Baresch and Moser, 2019). Yet, 42% Europeans live in multi-family buildings with no easy possibility to install a home charging point, which means that under the currently available charging point business models if these households choose to adopt a PEV they would have to rely mainly on public charging station.…”

Section: Business Models For Pev Charging Pointsmentioning

confidence: 99%

“…Previous studies show the majority of charging operations are committed at private charging stations (Chakraborty et al, 2019;Hardman et al, 2018). Baresch and Moser (2019) suggest that 88% of all charges happen at home in Austria, and according to Chakraborty et al (2019) only 5% of charges are made at the public charging stations. Similar patterns are confirmed in our data.…”

Section: Analysis Of Current Pev Ownersmentioning

confidence: 99%

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The potential for community financed electric vehicle charging infrastructure

Azarova

Cohen

Kollmann

et al. 2020

Transportation Research Part D: Transport and Environment

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Charging infrastructure is one of the key ingredients necessary to further increase the market uptake of personal electric vehicles (PEVs). Limiting the growth of charging infrastructure in Europe are the facts that most public charging infrastructure is not profitable, and 42% of European households reside in dwellings with no possibility to install a private charger. Hence, this work presents and analyzes an alternative business model for 'community-owned charge points' that combines the convenience advantages of private charging with the cost savings of a joint purchase. Such a model would allow households who cannot install a private charger to more comfortably adopt PEVs, and may benefit the electricity system due to load smoothing from scheduled charge times. Survey data from 3,131 1 households in Austria is used to identify barriers to PEV charging and charging infrastructure usage, as well as investigate consumers' preferences with respect to community-owned charging points.

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Section: Business Models For Pev Charging Pointsmentioning

confidence: 99%

Section: Analysis Of Current Pev Ownersmentioning

confidence: 99%

The potential for community financed electric vehicle charging infrastructure

Azarova

Cohen

Kollmann

et al. 2020

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

show abstract

“…The authors, also, claim that the development of a highly connected network of strategically placed fast charging stations should receive priority. Less favourable findings regarding the utilization of fast public infrastructure are presented in [28]. Choosing Austria as a case study, the authors estimate that less than 2% of charging events involve the utilization of public charging infrastructure implying profitability issues at the present state.…”

Section: Literature Review and Motivation For Researchmentioning

confidence: 99%

Simulating the Evolution of Business Models for Electricity Recharging Infrastructure Development by 2030: A Case Study for Greece

et al. 2021

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It is widely accepted that the market uptake of electric vehicles is essential for the decarbonisation of transport. However, scaling up the roll out of electric vehicles (EV) is challenging considering the lack of charging infrastructure. The latter is, currently, developing in an uneven way across the EU countries. A charging infrastructure with wide coverage addresses range limitations but requires high investment with uncertain returns during the early years of deployment. The aim of this paper is to assess how different policy options affect EV penetration and the involvement of private sector in infrastructure deployment. We propose a mathematical programming model of the decision problem and the interaction between the actors of EV charging ecosystem and apply it to the case of Greece from the time period until 2030. Greece represents a typical example of a country with ambitious targets for EV penetration by 2030 (10% of the total stock) with limited effort made until now. The results indicate that it is challenging to engage private investors in the early years, even using subsidies; thus, publicly financed infrastructure deployment is important for the first years. In the mid-term, subsidization on the costs of charging points is necessary to positively influence the uptake of private investments. These are mainly attracted from 2025 onwards, after a critical mass of EVs and infrastructure has been deployed.

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“…Besides positive aspects regarding the decarbonization of the traffic and residential sectors, these future technologies will confront the existing power system with new challenges [6]. Since most charging processes take place at home [8,9] and electrical HPs will be installed primarily in…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Grid Capacities for Integrating Future E-Mobility and Heat Pumps into Low-Voltage Grids

Thormann

Kienberger

2020

Energies

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While an area-wide implementation of electric vehicles (EVs) and electric heat pumps (HPs) will contribute to a decarbonization of the energy system, they represent new challenges for existing low-voltage (LV) power grids. Hence, this study investigates potential grid congestions on the basis of three contrasting load approaches applied to four different grid regions. Within the three load approaches, temporal characteristics of various grid customer classes (EVs, HPs, households etc.) are derived from highly resolved realistic load profiles. In accordance with classic grid planning, firstly a static load approach is analyzed by applying the modeled coincidence for each consumer class individually. Secondly, this static approach is modified by including combined coincidence factors, taking temporal consumer class interactions into account. Finally, both static load approaches are compared with detailed annual time series analyses by means of load flow simulations using real-life LV grid data. The evaluation of inadmissible voltage characteristics and thermal congestions identifies future grid extension needs depending on the considered grid region. In addition, the variation of the applied load approach highlights the need to consider consumer-specific temporal behavior. In fact, by neglecting temporal interactions between conventional and future grid customers, the classic grid planning approach overestimates future grid extension needs. To counteract an oversizing of future grid structures, this paper presents a combined consideration of EVs’ and HPs’ coincidence as well as resulting grid consequences on the LV level.

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Allocation of e-car charging: Assessing the utilization of charging infrastructures by location

Cited by 43 publications

References 23 publications

The potential for community financed electric vehicle charging infrastructure

The potential for community financed electric vehicle charging infrastructure

Simulating the Evolution of Business Models for Electricity Recharging Infrastructure Development by 2030: A Case Study for Greece

Evaluation of Grid Capacities for Integrating Future E-Mobility and Heat Pumps into Low-Voltage Grids

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