The impact of global trends on the electric vehicle market in Russia: Challenges, opportunities and directions of development

2021 ◽  
Vol 17 (5) ◽  
pp. 913-939
Author(s):  
Tat'yana S. REMIZOVA ◽  
Dmitrii B. KOSHELEV
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Footprint ◽  
Renewable Energy Sources ◽  
Economic Security ◽  
Vehicle Development ◽  
Global Trends ◽  
Electric Cars ◽  
Positive Effects ◽  
The Impact

Subject. The article reviews various transport electrification scenarios, which would help reduce the CO2 emissions and environmental threats. The environmental and economic security can also be affected if the State insufficiently understands the importance of electric vehicle development, their popularization. It is also crucial to encourage the consumption, develop the infrastructure, innovative projects, which reshape the power engineering structure. Objectives. We determine how global trends influence the production and integration of electric vehicles in Russia. We also evaluate the environmental and cost effectiveness of morot vehicle electrification, opportunities and trajectories for the electric vehicle development nationwide. Methods. The study involves methods used to summarize regulatory, empirical and theoretical data, and general and partial scientific methods and techniques, such as abstraction, analysis, analogy, etc. Results. The article shows the extent of electric transport development worldwide, and focuses on environmental issues and opportunities to reduce the carbon footprint by using electric vehicles and renewable energy sources. We point out opportunities, threats, prospects and disadvantages of the electric vehicle use in Russia. The article indicates how the use of electric cars can be developed in Russia, considering changes in the production structure and the generation of positive effects as much as possible. Conclusions. Currently, Russia evidently lags behind the global production and use of electric cars, without having a priority of the carbon footprint reduction. The strategy for the car segment advancement is underdeveloped. Suggested herein, the ideas for the electric car segment development are aimed to encourage the consumption, production, advancement of infrastructure and innovative projects, and ensure the environmental security of the country.

scholarly journals The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles

2021 ◽  
Vol 11 (1) ◽  
pp. 377-389
Author(s):  
Arkadiusz Małek ◽  
Andrzej Marciniak
Keyword(s):  
Neural Networks ◽  
Renewable Energy ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Recurrent Neural Networks ◽  
Performance Monitoring ◽  
Renewable Energy Sources ◽  
Photovoltaic System ◽  
Energy Sources ◽  
Electric Cars

Abstract Electric vehicles are fully ecological means of transport only when the electricity required to charge them comes from Renewable Energy Sources (RES). When building a photovoltaic carport, the complex of its functions must consider the power consumption necessary to charge an electric vehicle. The performance of the photovoltaic system depends on the season and on the intensity of the sunlight, which in turn depends on the geographical conditions and the current weather. This means that even a large photovoltaic system is not always able to generate the amount of energy required to charge an electric vehicle. The problem discussed in the article is maximization of the share of renewable energy in the process of charging of electric vehicle batteries. Deep recurrent neural networks (RNN) trained on the past data collected by performance monitoring system can be applied to predict the future performance of the photovoltaic system. The accuracy of the presented forecast is sufficient to manage the process of the distribution of energy produced from renewable energy sources. The purpose of the numerical calculations is to maximize the use of the energy produced by the photovoltaic system for charging electric cars.

scholarly journals Electric Vehicle and its Types

2021 ◽  
Vol 9 (VII) ◽  
pp. 3553-3555
Author(s):  
P. M. Tripathi
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fossil Fuels ◽  
Hybrid Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Additional Energy ◽  
Charging Infrastructure ◽  
Hybrid Electric ◽  
The Impact

Electric vehicles are an important option for reducing greenhouse gas emissions. Electric vehicles not only reduce dependence on fossil fuels, but also reduce the impact of ozone-depleting substances and promote widespread adoption of renewable energies. Despite extensive research into the properties and characteristics of electric vehicles as well as the nature of their charging infrastructure, electric vehicle construction and grid modeling continue to evolve and become limited. regime. This paper presents market penetration surveys for electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles and battery electric vehicles, and describes optimal engineering and modeling approaches. their differences. Research on critical barriers and inadequate charging equipment targets developing countries like India, which makes the study unique. The development of the new Vehicle to Grid concept has created additional energy sources when renewable energy sources are not available. We conclude that considering the specific characteristics of an electric vehicle is important in the mobility of the electric vehicle.

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

scholarly journals The remaining CO2 budget: a comparison of the CO2 emissions of diesel and BEV drivetrain technology

2021 ◽  
Author(s):  
Christian Böhmeke ◽  
Thomas Koch
Keyword(s):  
Electric Vehicle ◽  
Carbon Footprint ◽  
Electricity Generation ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Battery Electric Vehicle ◽  
Useful Life ◽  
Vehicle Fleet ◽  
Real Time Simulations ◽  
Diesel Vehicle

AbstractThis paper describes the CO2 emissions of the additional electricity generation needed in Germany for battery electric vehicles. Different scenarios drawn up by the transmission system operators in past and for future years for expansion of the energy sources of electricity generation in Germany are considered. From these expansion scenarios, hourly resolved real-time simulations of the different years are created. Based on the calculations, it can be shown that even in 2035, the carbon footprint of a battery electric vehicle at a consumption of 22.5 kWh/100 km including losses and provision will be around 100 g CO2/km. Furthermore, it is shown why the often-mentioned German energy mix is not suitable for calculating the emissions of a battery electric vehicle fleet. Since the carbon footprint of a BEV improves significantly over the years due to the progressive expansion of renewable-energy sources, a comparison is drawn at the end of this work between a BEV (29.8 tons of CO2), a conventional diesel vehicle (34.4 tons of CO2), and a diesel vehicle with R33 fuel (25.8 tons of CO2) over the entire useful life.

scholarly journals Adaptive Robust Optimization-Based Optimal Operation of Microgrids Considering Uncertainties in Arrival and Departure Times of Electric Vehicles

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2646 ◽  
Author(s):  
Se-Hyeok Choi ◽  
Akhtar Hussain ◽  
Hak-Man Kim
Keyword(s):  
Robust Optimization ◽  
Electric Vehicles ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Market Price ◽  
Optimal Operation ◽  
Worst Case ◽  
Price Signals ◽  
Power Trading ◽  
The Impact

The optimal operation of microgrids is challenging due to the presence of various uncertain factors, i.e., renewable energy sources, loads, market price signals, and arrival and departure times of electric vehicles (EVs). In order to incorporate these uncertainties into the operation model of microgrids, an adaptive robust optimization-based operation method is proposed in this paper. In particular, the focus is on the uncertainties in arrival and departure times of EVs. The optimization problem is divided into inner and outer problems and is solved iteratively by introducing column and constraint cuts. The unit commitment status of dispatchable generators is determined in the outer problem. Then, the worst-case realizations of all the uncertain factors are determined in the inner problem. Based on the values of uncertain factors, the generation amount of dispatchable generators, the amount of power trading with the utility grid, and the charging/discharging amount of storage elements are determined. The performance of the proposed method is evaluated using three different cases, and sensitivity analysis is carried out by varying the number of EVs and the budget of uncertainty. The impact of the budget of uncertainty and number of EVs on the operation cost of the microgrid is also evaluated considering uncertainties in arrival and departure times of EVs.

scholarly journals Joint Optimal Policy for Subsidy on Electric Vehicles and Infrastructure Construction in Highway Network

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2479 ◽  
Author(s):  
Yue Wang ◽  
Zhong Liu ◽  
Jianmai Shi ◽  
Guohua Wu ◽  
Rui Wang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Optimal Policy ◽  
Practical Case ◽  
Battery Electric Vehicle ◽  
Battery Electric Vehicles ◽  
Endurance Range ◽  
Highway Network ◽  
Charging Stations ◽  
The Impact

The promotion of the battery electric vehicle has become a worldwide problem for governments due to its short endurance range and slow charging rate. Besides an appropriate network of charging facilities, a subsidy has proved to be an effective way to increase the market share of battery electric vehicles. In this paper, we investigate the joint optimal policy for a subsidy on electric vehicles and infrastructure construction in a highway network, where the impact of siting and sizing of fast charging stations and the impact of subsidy on the potential electric vehicle flows is considered. A new specified local search (LS)-based algorithm is developed to maximize the overall number of available battery electric vehicles in the network, which can get provide better solutions in most situations when compared with existed algorithms. Moreover, we firstly combined the existing algorithms to establish a multi-stage optimization method, which can obtain better solutions than all existed algorithms. A practical case from the highway network in Hunan, China, is studied to analyze the factors that impact the choice of subsidy and the deployment of charging stations. The results prove that the joint policy for subsidy and infrastructure construction can be effectively improved with the optimization model and the algorithms we developed. The managerial analysis indicates that the improvement on the capacity of charging facility can increase the proportion of construction fees in the total budget, while the improvement in the endurance range of battery electric vehicles is more efficient in expanding battery electric vehicle adoption in the highway network. A more detailed formulation of the battery electric vehicle flow demand and equilibrium situation will be studied in the future.

scholarly journals Capabilities of Nearly Zero Energy Building (nZEB) Electricity Generation to Charge Electric Vehicle (EV) Operating in Real Driving Conditions (RDC)

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7591
Author(s):  
Wojciech Cieslik ◽  
Filip Szwajca ◽  
Jedrzej Zawartowski ◽  
Katarzyna Pietrzak ◽  
Slawomir Rosolski ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Transition ◽  
Target Range ◽  
Zero Energy ◽  
Zero Energy Building ◽  
Driving Conditions ◽  
Almost All

The growing number of electric vehicles in recent years is observable in almost all countries. The country’s energy transition should accompany this rise in electromobility if it is currently generated from non-renewable sources. Only electric vehicles powered by renewable energy sources can be considered zero-emission. Therefore, it is essential to conduct interdisciplinary research on the feasibility of combining energy recovery/generation structures and testing the energy consumption of electric vehicles under real driving conditions. This work presents a comprehensive approach for evaluating the energy consumption of a modern public building–electric vehicle system within a specific location. The original methodology developed includes surveys that demonstrate the required mobility range to be provided to occupants of the building under consideration. In the next step, an energy balance was performed for a novel near-zero energy building equipped with a 199.8 kWp photovoltaic installation, the energy from which can be used to charge an electric vehicle. The analysis considered the variation in vehicle energy consumption by season (winter/summer), the actual charging profile of the vehicle, and the parking periods required to achieve the target range for the user.

scholarly journals Understanding the Future Impacts of Electric Vehicles—An Analysis of Multiple Factors That Influence the Market

Vehicles ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 851-871
Author(s):  
Jonathan Wellings ◽  
David Greenwood ◽  
Stuart R. Coles
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Ethical Issues ◽  
Raw Materials ◽  
New Technology ◽  
Vast Number ◽  
Wide Range ◽  
Key Issues ◽  
The Impact ◽  
Vehicle Market

The electric vehicle market is an increasingly important aspect of the automotive industry. However, as a relatively new technology, several issues remain present within the industry. An analysis is utilised to examine these issues, along with how they affect the industry and how they can be tackled. Several key issues that affect the electric vehicle market, as well as how efforts to address these issues influence the market, are identified. The analysis also includes the examination of ethical issues, with the issues that arise from the production of raw materials for electric vehicles. The analysis and examination of ethical issues display a wide range of problems in the industry. However, it did highlight the efforts being made to lessen the effect of these problems by various groups, such as regulation by EU and US governing bodies on the materials mined. From this analysis, this paper identifies that many of the other factors examined are directly or indirectly influenced by political and economic factors, also examined in this review. This highlights the impact that governing bodies and businesses have on a vast number of issues that are present within the market and how they can resolve the harmful factors examined.

scholarly journals Advancements in Battery Technologies of Electric Vehicle

2021 ◽  
Vol 2129 (1) ◽  
pp. 012011
Author(s):  
V.K Bupesh Raja ◽  
Ignatius Raja ◽  
Rahul Kavvampally
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Automobile Industry ◽  
Combustion Engine ◽  
Maximum Energy ◽  
Electric Cars ◽  
Alternative Materials ◽  
Tremendous Amount ◽  
Battery Technology ◽  
Compact Design

Abstract The Automotive Industry has undergone a huge revolution – Electric Vehicles! Electric cars are growing fast and the demand for them is increasing all around the world, thanks to the more and improved choice, reduced prices, and enhancing battery technology. Introduced more than 100 years ago, electric vehicles have gone through a tremendous amount of advancement. This paper reviews the current major challenges faced by the Electric Vehicle Industry along with possible solutions to overcome them. Although electric vehicles have come a long way, the battery used in the vehicles needs to be further explored to harness maximum energy with a compact design. Electric vehicles should soon be able to compete with combustion engine vehicles in every aspect. Also, this paper reviews alternative materials for electrodes and batteries to make charging faster and reliable than ever. This paper envisages few concepts that could revolutionize Automobile Industry further in the future.

scholarly journals A New Solution to Profit Based Unit Commitment Problem Considering PEVs/BEVs and Renewable Energy Sources

2020 ◽  
Vol 184 ◽  
pp. 01070
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Production Cost ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Unit Commitment Problem ◽  
Load Demand ◽  
Commitment Problem ◽  
The Impact

Daily load demand for industrial, residential and commercial sectors are changing day by day. Also, inclusion of e-mobility has totally effected the operations of realistic power sector. Hence, to meet this time varying load demand with minimum production cost is very challenging. The proposed research work focuses on the mathematical formulation of profit based unit commitment problem of realistic power system considering the impact of battery electric vehicles, hybrid electric vehicles and plug in electric vehicles and its solution using Intensify Harris Hawks Optimizer (IHHO). The coordination of plants with each other is named as Unit commitment of plants in which the most economical patterns of the generating station is taken so as to gain low production cost with higher reliability. But with the increase in industrialization has affected the environment badly so to maintain the balance between the generation and environment a new thinking of generating low cost power with high reliability by causing less harm to environment i.e. less emission of flue gases is adopted by considering renewable energy sources.

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