Charging infrastructure for electric vehicles in Multi-Unit Residential Buildings: Mapping feedbacks and policy recommendations

Lopez-Behar, Diana; Tran, Martino; Froese, Thomas; Mayaud, Jerome R.; Herrera, Omar E.; Mérida, Walter

doi:10.1016/j.enpol.2018.10.030

Cited by 70 publications

(25 citation statements)

References 16 publications

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“…Construction of a public charging station requires large investments and is relatively expensive in daily maintenance (Lopez-Behar et al, 2019;Schroeder and Traber, 2012). This causes the current situation wherein the majority of the public charging stations are not profitable and underused, which can be partially explained by infrequent charging operations (Zhang et al, 2018;Schroeder and Traber, 2012).…”

Section: Business Models For Pev Charging Pointsmentioning

confidence: 99%

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%

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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“…Home charging stations paved a new way for EV users, who are thus able to recharge their cars very comfortably. One of the most significant benefits of home charging of electric vehicles is a lower price per kWh compared to a business fast-charging station [24], together with a higher degree of comfort and less time spent charging on public charging sites, cf. [3,4,24,25].…”

Section: State Of the Artmentioning

confidence: 99%

Optimization of Electric Vehicle Charging Points Based on Efficient Use of Chargers and Providing Private Charging Spaces

et al. 2020

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Electric vehicles are a mobility innovation that can help significantly reduce greenhouse gas emissions and mitigate climate change. However, increasing numbers of electric vehicles require the construction of a dense charging infrastructure with a sufficient number of chargers. Based on the identified requirements for existing electric vehicle users and potential new customers, the paper proposes a charging point model for an urban area equipped with a local transformer station and a sufficient number of low-power chargers. In particular, the model focuses on efficient use of chargers throughout the day, considering private rental of chargers paid by residents in the evening. The model uses an optimization method that compares the non-covered fixed costs due to unsold electricity to nonresidents and the annualized costs of building an additional transformer. The proposed optimal charging point solution was tested in a case study using real data capturing users’ habits and their arrivals in and departures from the car park. As our model results show, the great benefit of a park-and-ride car park equipped with chargers consists of a simple increase in car park efficiency, ensuring sufficient numbers of private charging lots, optimizing operating costs, and supporting the development of electromobility.

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“…In this case, the exploitation cost (as the cost of purchasing the energy from the grid, the cost of dispersed products and the cost of charging and discharging the cars) and the amount of carbon dioxide emissions (including emissions from the power grid, dispersed unsustainable resources, such as fuel cell and diesel producers) serve as the two objective functions of the problem. With regard to the notion that the electric vehicles studied in the current research are PEVs, both charging and discharging are considered [5].…”

Section: Modeling Of Energy Resources Programmingmentioning

confidence: 99%

“…An acceptable response could be found by this planning utilization to meet all the goals. Additionally, we bring the proposed model closer to the real-life model by Demand Response Program (DRP) evaluation and the uncertainties in the sustainable energies [5]. To achieve this goal, several steps and scenarios have been designed, such as: the load network is performed without energy resources, the grid is programmed in the presence of sustainable resources and EVs through cost and pollution minimization, and the DRP is considered in the network.…”

Section: Introductionmentioning

confidence: 99%

An Improved Multicriteria Optimization Method for Solving the Electric Vehicles Planning Issue in Smart Grids via Green Energy Sources

Abedinia

Bagheri

2020

IEEE Access

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In the given research, a new multicriterion (multiobjective) optimization algorithm has been considered to solve the problem of electric vehicles (EV) scheduling in a smart network in view of sustainable energy sources based on the cost and pollution minimization. By considering the environmental and economic problems, the application of EVs as a proper charging/discharging scheduling model and green energy sources plays an important role in the power system. This study focuses on multicriteria scheduling through uncertainty factors via inexhaustible assets and EVs, presenting a battery storing framework and reducing both the operation costs and the amount of the framework's pollution while improving the procedures. For this purpose, a new optimization algorithm has been considered to address the mentioned problem taking into account some clean energy sources and emission. The proposed model is examined in smart grid environment based on real-life model by Demand Response Program (DRP) evaluation and the uncertainties in sustainable energies. The proposed optimization algorithm shows more desirable results in comparison with other models, while the efficiency of the suggested approach is studied and evaluated in two power systems, i.e., a 33-bus standard power system and a 94-bus Portugal network. The obtained results

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Charging infrastructure for electric vehicles in Multi-Unit Residential Buildings: Mapping feedbacks and policy recommendations

Cited by 70 publications

References 16 publications

The potential for community financed electric vehicle charging infrastructure

The potential for community financed electric vehicle charging infrastructure

Optimization of Electric Vehicle Charging Points Based on Efficient Use of Chargers and Providing Private Charging Spaces

An Improved Multicriteria Optimization Method for Solving the Electric Vehicles Planning Issue in Smart Grids via Green Energy Sources

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