scholarly journals The development of electromobility in Poland

2019 ◽  
Vol 2 (2) ◽  
pp. 61-69
Author(s):  
Wojciech Drożdż
Keyword(s):  
Energy Policy ◽  
National Economy ◽  
Market Segments ◽  
Charging Infrastructure ◽  
Electric Cars ◽  
Charging Stations ◽  
Stimulating Factor

The article discusses the development of electromobility in Poland. The first part of the article highlights the significance of electromobility for the national transport and energy policy. The second part of the article describes issues related to the development of charging infrastructure. The article also presents plans for the expansion of charging stations and barriers related to it. The article discusses market segments in which electric cars are actually used. Finally, the article describes stages of electromobility development in Poland and indicates its benefits for Poland. Being a new rapidly developing industry, electromobility can be an opportunity for Polish businesses and a stimulating factor for the entire national economy. The article is concluded with a summary.

scholarly journals Operational Methods for Charging of Electric Vehicles

2020 ◽  
Vol 48 (4) ◽  
pp. 369-376
Author(s):  
Bálint Csonka ◽  
Márton Havas ◽  
Csaba Csiszár ◽  
Dávid Földes
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Transportation Network ◽  
Electric Networks ◽  
Charging Infrastructure ◽  
Electric Cars ◽  
Bus Service ◽  
Bus Services ◽  
Charging Stations ◽  
Operational Methods

The increasing number of electric vehicles induces a new relationship between the electric vehicles, transportation network and electric network. The deployment of the charging infrastructure is a prerequisite of the widespread of electric vehicles. Furthermore, the charging process and energy management have a significant influence on the operation of both the transportation and electric networks. Therefore, we have elaborated novel operational methods that support the deployment of charging infrastructure for electric cars and buses operating in public bus service, and the energy management. Weighted sum-models were developed to assess candidate sites for public charging stations. The mathematical model of public bus services was elaborated that supports the optimization of static charging infrastructure at bus stops and terminals without schedule adjustments. The flexibility and predictability of charging sessions were identified as the main differences between charging infrastructure deployment for cars and buses. Furthermore, the flows of energy, information and value have been revealed among the components of charging with a focus on commercial locations, which is the basis of energy flow optimization on the smart grid.

scholarly journals Analysis of the Development of the Electromobility Market in Poland in the Context of the Implemented Subsidies

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 222
Author(s):  
Ewelina Sendek-Matysiak ◽  
Zbigniew Łosiewicz
Keyword(s):  
Alternative Fuels ◽  
National Level ◽  
Development Program ◽  
The European Union ◽  
Charging Infrastructure ◽  
Electric Cars ◽  
Automotive Market ◽  
Vehicle Type ◽  
Utilitarian Value ◽  
Charging Stations

The flagship project in this area in Poland is the Electromobility Development Program, one of the strategic documents of which is the Act on Electromobility and Alternative Fuels of 11 January 2018, which includes a system of benefits aimed at influencing consumer behaviors towards the choice of electric vehicles. According to the decision-makers, its implementation is expected to result in the achievement of a number of goals, among others, 1 million of such vehicles are forecast to be present at the national level in 2025. The intention of the authors is to analyze the progress in the development of electromobility in Poland, in the areas such as the market of electric cars, charging infrastructure, with an indication of whether the actions that are implemented by the legislator, i.e., guidelines on where and in what quantities charging stations dedicated to such vehicles are to be established, subsidies in the form of the possibility of driving on the lanes designed for buses, subsidies for the purchase of such vehicles intensify the development of electromobility in the country. The considerations were carried out for cars powered exclusively by electricity, i.e., BEV (Battery Electric Vehicle) type, category M1. Cars in this category represent the largest share of the automotive market in Poland—over 75%. The utilitarian value of this research may be supported by the fact that the example of Poland and its problems concerning the discussed issue may be a source of preliminary analysis for other countries of the European Union.

scholarly journals Determinants of Electric Vehicle Diffusion in China

2021 ◽  
Author(s):  
Martin Kalthaus ◽  
Jiatang Sun
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Central Government ◽  
License Plate ◽  
Panel Estimation ◽  
Charging Infrastructure ◽  
Electric Cars ◽  
Local Air Pollution ◽  
Charging Stations ◽  
Positive Effect

AbstractWe analyze the effect of four determinants of electric vehicle diffusion in China for a panel of 31 regions for the period 2010–2016. We analyze diffusion of four different electric vehicle types, namely battery electric cars and buses as well as plug-in hybrid electric cars and buses. System GMM panel estimation results show that total monetary subsidies have a positive effect only on the diffusion of battery electric cars. A closer look reveals that subsidies provided by regional governments are decisive for all types of vehicles but the subsidy provided by the central government and its degression over time dilute the overall effect of subsidies and is partly detrimental. Non-monetary ownership policies, such as license-plate lotteries, show a positive effect only for battery electric cars. Availability of public charging infrastructure increases diffusion of all vehicle types. Charging points are relevant for cars, while charging stations are especially decisive for the diffusion of electric buses. Using local environmental conditions as a novel determinant for the diffusion of electric vehicles reveals that the local air pollution influences the diffusion of buses, but not of cars.

scholarly journals Local Benefits Exceed Costs For Widespread Charging Infrastructure For On-Street Urban Parking

2021 ◽  
Author(s):  
Malenka Schmutz ◽  
Oscar van Vliet ◽  
Anthony Patt
Keyword(s):  
Cost Benefit ◽  
Environmental Benefits ◽  
Residential Areas ◽  
Charging Infrastructure ◽  
Electric Cars ◽  
Public Benefits ◽  
Slowing Down ◽  
Actual Use ◽  
Urban Parking ◽  
Charging Stations

Abstract BackgroundLack of charging infrastructure is a critical barrier to the dissemination of electric cars and many cities have started installing charging stations in public parking spaces.We do a cost-benefit analyses of installing charging stations in public parking spaces, with different assumptions for uptake of electric cars, topology of charging stations, environmental benefits, and costs for infrastructure. We use the case study of Zurich, which is representative of dense European cities.ResultsWe find that building charging stations in residential areas has net positive benefits, as long as the charging stations are used at least one-third of the daytime. Net benefits remain positive if we remove noise or climate benefits.ConclusionsAiming to equip 40% of public residential parking spaces with charging points, and then accelerating or slowing down the deployment of charging stations based on their actual use appears to be a robust strategy that will result in positive net public benefits for city residents and stimulate uptake of electric cars.

A Tale of Two Entities

2021 ◽  
Vol 2 (2) ◽  
pp. 1-21
Author(s):  
Hossam ElHussini ◽  
Chadi Assi ◽  
Bassam Moussa ◽  
Ribal Atallah ◽  
Ali Ghrayeb
Keyword(s):  
Power Flow ◽  
Power Grid ◽  
Communication Protocols ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Public Data ◽  
Simulation Based ◽  
Charging Stations ◽  
The Impact ◽  
Ev Charging

With the growing market of Electric Vehicles (EV), the procurement of their charging infrastructure plays a crucial role in their adoption. Within the revolution of Internet of Things, the EV charging infrastructure is getting on board with the introduction of smart Electric Vehicle Charging Stations (EVCS), a myriad set of communication protocols, and different entities. We provide in this article an overview of this infrastructure detailing the participating entities and the communication protocols. Further, we contextualize the current deployment of EVCSs through the use of available public data. In the light of such a survey, we identify two key concerns, the lack of standardization and multiple points of failures, which renders the current deployment of EV charging infrastructure vulnerable to an array of different attacks. Moreover, we propose a novel attack scenario that exploits the unique characteristics of the EVCSs and their protocol (such as high power wattage and support for reverse power flow) to cause disturbances to the power grid. We investigate three different attack variations; sudden surge in power demand, sudden surge in power supply, and a switching attack. To support our claims, we showcase using a real-world example how an adversary can compromise an EVCS and create a traffic bottleneck by tampering with the charging schedules of EVs. Further, we perform a simulation-based study of the impact of our proposed attack variations on the WSCC 9 bus system. Our simulations show that an adversary can cause devastating effects on the power grid, which might result in blackout and cascading failure by comprising a small number of EVCSs.

Swarm Intelligence-Based Optimization for PHEV Charging Stations

2015 ◽  
pp. 374-405 ◽  
Author(s):  
Imran Rahman ◽  
Pandian Vasant ◽  
Balbir Singh Mahinder Singh ◽  
M. Abdullah-Al-Wadud
Keyword(s):  
Hybrid Electric Vehicle ◽  
Performance Indicator ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Computation Time ◽  
Charging Infrastructure ◽  
Charging Time ◽  
Battery Capacity ◽  
Hybrid Electric ◽  
Charging Stations

In this chapter, Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) technique were applied for intelligent allocation of energy to the Plug-in Hybrid Electric Vehicles (PHEVs). Considering constraints such as energy price, remaining battery capacity, and remaining charging time, they optimized the State-of-Charge (SoC), a key performance indicator in hybrid electric vehicle for the betterment of charging infrastructure. Simulation results obtained for maximizing the highly non-linear objective function evaluates the performance of both techniques in terms of global best fitness and computation time.

Microgrid-Based Sustainable E-Bike Charging Station

2021 ◽  
pp. 144-167
Author(s):  
Ghanishtha Bhatti ◽  
Raja Singh R.
Keyword(s):  
Energy Savings ◽  
Efficient Technology ◽  
Dc Microgrid ◽  
Power Efficient ◽  
Charging Infrastructure ◽  
The Public ◽  
Charging Station ◽  
Long Time ◽  
Infrastructure Maintenance ◽  
Charging Stations

This chapter focuses on developing a sustainable architecture for public electric motorbike charging stations. Electric motorbikes or electric bicycles (both referred to as e-bikes) are compact electric vehicles which are primarily battery-powered and driven solely by electric motors. This work conceptualizes a microgrid architecture which utilizes the integration of distributed generation energy resources providing the charging station nodes with sustainable power and increased fault tolerance. The charging stations proposed in the study increase the long-time energy savings of the infrastructure maintenance authorities while also reducing reliance on the public grid during peak hours. The photovoltaic-based DC microgrid is integrated with e-bike charging infrastructure, moving towards a future of eco-friendly and power-efficient technology.

A Comprehensive Review of Blockchain Technology Implementation in the EV Charging Infrastructure

2022 ◽  
pp. 38-67
Author(s):  
Toni Zhimomi ◽  
Mohammad Saad Alam ◽  
Hafiz Malik
Keyword(s):  
Technology Implementation ◽  
Security And Privacy ◽  
Comprehensive Review ◽  
Charging Infrastructure ◽  
Blockchain Technology ◽  
Key Factor ◽  
Communication Flow ◽  
Electric Vehicle Adoption ◽  
Charging Stations ◽  
Ev Charging

Charging infrastructure is a key factor in successful electric vehicle adoption. Charging stations are still a fragmented market in terms of ownership, lack of standards, and charging protocols. The increasing decentralised grid has made energy and communication flow bi-directional. Challenges arise in maintaining the increasing decentralised structure, security, and privacy of the network. Blockchain facilitates the interconnectedness of such a distributed and decentralised network. Blockchain's versatility lies in its transparent and immutable decentralized architecture that enables direct transactions between users without the need of a middleman. It provides powerful safeguards against cyberattacks with its advanced cryptography enabling privacy-preserving authentication. This chapter presents a comprehensive review on the application of blockchain technology in EV charging infrastructure such as facilitating the peer-to-peer energy exchange, increased security and privacy, immutable transactions, and mitigating trust issues among the participants in the charging infrastructure.

scholarly journals Controllability Evaluation of EV Charging Infrastructure Transformed from Gas Stations in Distribution Networks with Renewables

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1577
Author(s):  
Shuang Gao ◽  
Jianzhong Wu ◽  
Bin Xu
Keyword(s):  
Power Distribution ◽  
Queuing Theory ◽  
Distribution Networks ◽  
Temporal And Spatial Distribution ◽  
Charging Infrastructure ◽  
Optimal Dispatch ◽  
Gas Stations ◽  
Charging Stations ◽  
The Impact ◽  
Ev Charging

A considerable market share of electric vehicles (EVs) is expected in the near future, which leads to a transformation from gas stations to EV charging infrastructure for automobiles. EV charging stations will be integrated with the power grid to replace the fuel consumption at the gas stations for the same mobile needs. In order to evaluate the impact on distribution networks and the controllability of the charging load, the temporal and spatial distribution of the charging power is calculated by establishing mapping the relation between gas stations and charging facilities. Firstly, the arrival and parking period is quantified by applying queuing theory and defining membership function between EVs to parking lots. Secondly, the operational model of charging stations connected to the power distribution network is formulated, and the control variables and their boundaries are identified. Thirdly, an optimal control algorithm is proposed, which combines the configuration of charging stations and charging power regulation during the parking period of each individual EV. A two-stage hybrid optimization algorithm is developed to solve the reliability constrained optimal dispatch problem for EVs, with an EV aggregator installed at each charging station. Simulation results validate the proposed method in evaluating the controllability of EV charging infrastructure and the synergy effects between EV and renewable integration.

Effects of Charging Infrastructure and Non-Electric Taxi Competition on Electric Taxi Adoption Incentives in New York City

2019 ◽  
Vol 2673 (4) ◽  
pp. 262-274 ◽  
Author(s):  
Jaeyoung Jung ◽  
Joseph Y. J. Chow
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Operating Costs ◽  
Charging Infrastructure ◽  
Trade Offs ◽  
Average Revenue ◽  
The Individual ◽  
Queue Delay ◽  
Charging Stations

With major investments in electric taxis emerging around the world, there is a need to better understand resource allocation trade-offs in subsidizing electric vehicle taxis (e-taxis) and investing in electric charging infrastructure. This is addressed using simulation experiments conducted in New York City: 2016 taxi pickups/drop-offs, a Manhattan road network (16,782 nodes, 23,337 links), and 212 charging stations specified by a 2013 Taxi & Limousine Commission study. The simulation is based on a platform used to evaluate taxi operations in California and Seoul. Eleven scenarios are analyzed: a baseline of 7,000 non-electric taxis, five scenarios ranging from 1,000 e-taxis to 5,000 e-taxis, and another five scenarios in which the e-taxis have infinite chargers as an upper bound. The study finds that the number of charging locations recommended in the earlier study may be insufficient at some locations even under the 3,000+ e-taxi scenarios. More importantly, despite an average revenue of $260 per taxi for the 7,000 non-electric taxis and about $247 per taxi for electric taxis over the finite charger scenarios, the revenue gap between e-taxis and non-electric taxis in a mixed fleet increases significantly as the e-taxi share increases. This is because the increasing queue delay imposed on e-taxis gives non-electric taxis an increasing competitive advantage, raising their average revenue from $260 per taxi (1,000 e-taxis) up to $286 per taxi (5,000 e-taxis, 150% revenue gap increase), all other operating costs being equal. This has implications for individual versus whole-fleet policies, as the individual-oriented policies may be less effective.

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