Adoption Rate Of Electric Vehicles Research Articles

Financing the future: Asymmetric association between green investment and electric vehicles

Green investment in electric vehicles represents a pivotal shift towards a sustainable future, promising to revolutionize our transportation systems while significantly reducing greenhouse gas emissions. This research aims to probe the linkage between green investment and electric vehicles across the top 10 economies with the highest electric vehicle adoption rates (China, USA, Norway, Germany, UK, France, Portugal, Netherlands, Belgium, and South Korea). Unlike earlier studies that primarily utilized panel data methods and overlooked the individual nuances of each country, our investigation employs the advanced ‘Quantile-on-Quantile’ technique. This novel approach enables us to delve into the relationships between variables within each specific country, thereby improving the precision of our analysis. As a result, this study provides a comprehensive global viewpoint, revealing nuanced findings about each nation's distinct characteristics. The study's findings express a positive connection between green investment and the electric vehicle stock in various segments of the sample economies. Furthermore, this research highlights diverse trends in these connections within different nations. The results emphasize policymakers’ need to conduct comprehensive evaluations and develop effective strategies to address changes in both green investment and electric vehicles.

Assessing the spatial distributions of public electric vehicle charging stations with emphasis on equity considerations in King County, Washington

This study assessed the availability and accessibility of public electric vehicle (EV) charging stations at the census tract level in King County, Washington, USA. A gravity model was used to measure the accessibility of stations in each tract while considering the competition among tracts for charging infrastructure. Unlike prior studies, we evaluate current distribution from various equity viewpoints, clearly defining these perspectives and investigating their implications for charging distribution. The findings revealed significantly higher accessibility of public stations in areas with a lower share of single-family homes, a higher share of commercial areas, and proximity to major roadways, irrespective of population and EV adoption rates. Moreover, we found that the current distribution is consistent with utilitarian and capabilities-based theories of equity. Spatial tools such as Moran's I and spatial regression were used to analyze the spatial disparity of the proposed accessibility measure, showing the existence of a highly clustered spatial distribution. This study offers valuable insights into integrating equity considerations in assessing accessibility to transportation facilities, especially EV charging stations. Such an approach can facilitate the promotion of EV adoption across diverse groups, a critical factor in achieving sustainable city development goals by mitigating carbon emissions and enhancing mobility.

A joint planning strategy for EV charging system towards net-zero transportation electrification

Electric vehicles (EVs) are pivotal in the progression toward sustainable transportation. However, a growing body of recent studies has challenged the often-assumed notion that electric vehicles are often considered to be net-zero emissions. These studies suggest that electric vehicles could potentially generate substantial emissions due to their reliance on fossil fuels to generate electricity, especially when receiving fast charging services. This phenomenon has been mitigated with the use of renewable energy sources in the power system. However, due to the intermittent nature of renewable energy sources, additional requirements have arisen. To address this situation, this paper presents an interdisciplinary study of collaborative fast-charging stations (FCS) and distributed renewable energy planning based on the interactions between traffic and power networks in order to increase the adoption rate of electric vehicles and reduce emissions caused by traffic and power systems. The locations and sizing of fast-charging stations, distributed photovoltaic generation, and renewable energy power supply for electric vehicles are determined in the proposed strategy through multi-objective integer programming. The proposed planning strategy considers heterogeneous electric vehicle driving range constraints, the operation security of the power distribution system, the reliability and expansion of the current power distribution, as well as different types of air pollutant classifications resulting from the charging behaviors. To guarantee the feasibility and accuracy of the planning results, an interactive algorithm is applied to solve the multi-objective integer model. Several cases are conducted to validate the proposed approach. The results demonstrate that the proposed planning strategy has good performance in the planning of fast-charging stations and distributed renewable energy integration.

Optimizing Electric Vehicle Integration with Vehicle-to-Grid Technology: The Influence of Price Difference and Battery Costs on Adoption, Profits, and Green Energy Utilization

Over the past decade, the widespread adoption of global green energy has emerged as a predominant trend. However, renewable energy sources, such as wind and solar power, face significant wastage due to challenges in energy storage. Electric vehicles (EVs) are considered an effective solution to address the energy storage dilemma. “Vehicle-to-grid” (V2G) technology, allowing vehicles to feed electricity into the grid, enhances the efficiency of renewable energy utilization. This paper proposes an electric vehicle game model that comprehensively considers user choices, corporate profits, and green energy utilization. The model, based on difference in prices, electricity rates, and fuel prices, establishes user utility models to determine optimal driving distances and driving decisions. It separately formulates the maximum profit functions for selling conventional electric cars and V2G electric cars, deriving optimal pricing for enterprises and user adoption rates. The research findings indicate that when price difference can offset V2G battery costs, increasing price difference and reducing battery costs effectively enhance electric vehicle adoption rates, increase corporate profits, and improve green energy utilization. Moreover, compared to conventional electric vehicles, V2G electric vehicles demonstrate a comparative advantage, with the implementation of V2G expanding corporate profits and green energy utilization. Validation using Chinese data reveals that when price difference can offset V2G battery costs, drivers are more inclined to choose V2G electric vehicles. Both battery electric vehicles (BEVs) and V2G electric vehicles exhibit adoption rates that can increase by over 35%. This study provides theoretical and model support for the future development of V2G and policy formulation, underscoring the comparative advantages of V2G in enhancing green energy utilization efficiency. Additionally, this study offers valuable insights as a reference for business models in the V2G electric vehicle industry.

How the presence of public charging infrastructure can impact the adoption rate of electric vehicles in the UK

In the current work, the presence of public charging facilities and their impact on the adoption rate of Electric Vehicle (EV) are studied across 363 Local Authorities (LA) districts in the UK. This analysis is conducted utilizing the data from the UK government on the location of public electric vehicle chargepoints in various LAs as well as the EV ownership rate between years 2011 and 2021. Various rural, urban and extra urban (e.g. London) regions are analyzed to assess whether EV ownership has been impacted as the charging infrastructure is rolled out in these regions. The quarterly data on the number of licensed Ultra Low Emission Vehicles (ULEV) in each UK local authority is used to track EV ownership levels. The results indicate that the publicly available charging points stimulate the diffusion of EV adoption; however, this varies by region and saturation. The reverse effect of EV ownership on charging infrastructure rollout by Local Authorities cannot be entirely rejected; however, the positive stimulus of public infrastructure on adoption of EV is established. The findings can provide the UK policy makers with insight into the public charging infrastructure requirements and benefits in short to medium term to meet the committed emission reduction targets by 2035 and 2050.

Estimating potential adoption rate of electric vehicles in urban logistics

ABSTRACT This research presents an analytical analysis of the factors related to the preference for using electric vehicles, aimed at estimating their potential adoption in urban freight transport. We employed choice modeling to assess the trade-offs among various attributes associated with Electric Freight Vehicles (EFVs) and predicted the probabilities of EFV adoption within urban freight fleets. This estimation is based on an industry survey and real delivery data from a retail firm. Our findings indicate that electric vehicles could be utilized in approximately 32% of the deliveries for the case company. This, in turn, corresponds to a notable 26% reduction in CO2 emissions resulting from delivery operations. Furthermore, our model enabled us to expand the scope of our analysis to the city level, using Istanbul as a specific example. Our illustration demonstrates that, under the current circumstances, electric vehicles have the potential to account for roughly 25% of all deliveries in Istanbul.

Life cycle climate performance evaluation (LCCP) of electric vehicle heat pumps using low-GWP refrigerants towards China's carbon neutrality

The environmental-friendly heat pump with low global warming potential (GWP), such as R1234yf, CO2, R290, and several potentially promising refrigerant mixtures, is increasingly essential for the electric vehicle (EV) to save energy consumption and extend the driving range. It is beneficial to achieve carbon neutrality by reducing both direct and indirect carbon emissions. Previously, the life cycle climate performance (LCCP) was a widely accepted metric to evaluate the carbon footprint of mobile air conditioning systems “from cradle to grave” for the internal combustion engine vehicle (ICEV), however, such LCCP analyses about EV heat pumps can hardly be found. To facilitate the EV industry and policymakers' better understanding of the environmental impacts of those low-GWP refrigerants, this study provided a comprehensive LCCP analysis for the EV heat pumps based on the system bench test results, local climates, local power supply characteristics, real-world driving patterns, vehicle cabin thermal sensation, and climate control load. Five low-GWP refrigerants, i.e., R1234yf, CO2, R290, binary blends of CO2 and R41 (with GWP values of 49), M2(R410A substitute with GWP values of 137), were compared against R134a and R410A in 31 provinces of mainland China. We also considered the impacts of electric vehicle adoption rates and the carbon intensity of electricity from 2020 to 2060. Results show that the total life-cycle emissions per vehicle are highly related to climate conditions in different provinces, while R290 shows the lowest emission on the national average. The national mean life-cycle emissions per vehicle are projected to decrease 14% by 2030 and 45.4% by 2060 under the current technological trajectory of electricity generation. By using low-GWP heat pump systems in EVs, the cumulative emissions counting all vehicles can be saved up to 1450 Mt. CO2e from 2020 to 2060.

Load, Electrification Adoption, and Behind-the-Meter Solar Forecasts for Alaska’s Railbelt Transmission System

Load forecasting is an important component of power system and resource planning for electrical grids. The adoption of electric vehicles (EVs), behind-the-meter (BTM) solar, and heat pumps will significantly change the amount and variability of loads. Electrification adoption and load forecasting in arctic regions and Alaska is limited. This paper provides the first load and electrification adoption forecast for the Alaska Railbelt transmission system, including yearly adoption rates of EVs, BTM solar, and heat pumps and hourly load data for the forecasted year of 2050. The adoption rates were based on the available historical data and compared to other regional and national trends. Two forecasts were created: (1) a moderate adoption forecast based on projections from current adoption rates and comparisons to other regional and national projections and (2) an aggressive forecast, which provides an illustrative comparison of a high adoption rate of 90% for all technologies. The results of these forecasts demonstrate a significant increase in both energy, 80% and 116%, and peak load demand, 113% and 219%, for the moderate and aggressive electrification adoption scenarios, respectively. These findings highlight a need for resource planning and demand management in this region due to the adoption of EVs, BTM solar, and heat pumps.

A Two-Stage Multi-Agent EV Charging Coordination Scheme for Maximizing Grid Performance and Customer Satisfaction

Advancements in technology and awareness of energy conservation and environmental protection have increased the adoption rate of electric vehicles (EVs). The rapidly increasing adoption of EVs may affect grid operation adversely. However, the increased integration of EVs, if managed appropriately, can positively impact the performance of the electrical network in terms of power losses, voltage deviations and transformer overloads. This paper presents a two-stage multi-agent-based scheme for the coordinated charging scheduling of EVs. The first stage uses particle swarm optimization (PSO) at the distribution network operator (DNO) level to determine the optimal power allocation among the participating EV aggregator agents to minimize power losses and voltage deviations, whereas the second stage at the EV aggregator agents level employs a genetic algorithm (GA) to align the charging activities to achieve customers' charging satisfaction in terms of minimum charging cost and waiting time. The proposed method is implemented on the IEEE-33 bus network connected with low-voltage nodes. The coordinated charging plan is executed with the time of use (ToU) and real-time pricing (RTP) schemes, considering EVs' random arrival and departure with two penetration levels. The simulations show promising results in terms of network performance and overall customer charging satisfaction.

GridShield—Optimizing the Use of Grid Capacity during Increased EV Adoption

With the increasing adoption rate of electric vehicles, power peaks caused by many cars simultaneously charging on the same low-voltage grid can cause local overloading and power outages. Smart charging solutions should spread this load, but there is a residual risk of incidental peaks. A decentralized and autonomous technology called GridShield is being developed to reduce the likelihood of a transformer’s fuse blowing when other congestion solutions have failed. It serves as a measure of last resort to protect the grid against local power failures from unpredicted congestion by temporarily limiting the virtual capacity of charging stations. This paper describes the technical development and demonstrates how GridShield can keep a transformer load below a critical limit using simulations and real-world tests. It optimizes grid capacity while ensuring grid reliability.

Evaluation of Barriers to Electric Vehicle Adoption in Indonesia through Grey Ordinal Priority Approach

Emissions from vehicles are a major contributor to greenhouse gases, and thus climate change. Electric vehicles (EVs) provide a promising solution to deal with this problem. Even though in the emerging economies like China and Europe, the adoption of EVs is praiseworthy, the pace of the EV rollout in Indonesia is slow. The Indonesian electric vehicle market has remained stagnant due to the country's low adoption rate of electric vehicles, which is currently less than 0.3%. This is because electric vehicle adoption has been stymied in Indonesia for a variety of reasons. As such, the purpose of this study is to determine the factors influencing electric vehicle adoption in Indonesia and to rank the barriers to widespread EV rollout in the country using the Grey Ordinal Priority Approach (OPA-G). It is found that high initial purchase price, insufficient amount of charging infrastructure, and a lack of government incentives are key barriers to the EV adoption in Indonesia.

The impact of UK financial incentives on the adoption of electric fleets: The moderation effect of GDP change

Governments provide policy incentives to increase adoption rates of electric vehicles and achieve sustainability goals. This paper investigates the impact of UK financial purchase incentives on new registrations of electric fleets whilst moderating for change in gross domestic product (GDP). We use a unique dataset of new registrations of electric fleets in the UK for a 20-year period (1999–2019). Our results show that financial purchase incentives positively impact new registrations of electric fleets, and this effect is positively moderated by GDP change. Marginal analysis reveals three categories of adopters that purchase electric fleets at different levels of policy and GDP change: insensitive adopters, standard adopters, and sensitive adopters. Overall, financial incentives may be more effective in fostering the adoption of electric fleets when set to levels that are conditioned on the level of GDP change. In particular, financial purchase incentives are most effective when GDP change and incentives are above their average level.

Vehicle fleet electrification and its effects on the global warming potential of highway pavements in the United States

The adoption of electric vehicles has led to a transition towards sustainable mobility. However, there has been a lack of research considering the effects of vehicle fleet electrification on asphalt pavement infrastructure. This study quantifies the impact of vehicle fleet changes on the global warming potential of asphalt concrete pavement systems across the United States via a comprehensive life cycle assessment model. The case studies encompass a large range of scenarios, including rural and urban Interstate highways, low and high carbon grid mixes, and low and high electric vehicle adoption rates. The inclusion of fleet electrification reduces the global warming potential of typical rural and urban Interstate highway pavements in the United States between 7% and 24%. This finding suggests that the adoption of electric vehicles will lower the global warming impact of the pavement use stage across all regions of the United States. Our findings and model can enable decision-makers to account for the environmental impact of electric vehicles on pavement infrastructure and discern their effects when developing sustainable management strategies.

Assessments of social factors responsible for adoption of electric vehicles in India: a case study

PurposeEnvironmental crisis and energy security concerns forced researchers, environmentalists and industrialists to look for a cleaner mode of transportation. Rigorous efforts have been made to make electric vehicles (EVs) feasible for commercial use. However, despite of many efforts by the Government of India, the rate of adoption of EVs in India has not been up to the mark. To bridge this gap, present study understands the social acceptability and sustainability of EVs and identifies the social factors, builds inferences from the results obtained and helps in orienting the manufacturers and decision makers towards faster adoption of the EVs.Design/methodology/approachThe social factors responsible for the growth of EVs in India are identified by literature survey. A questionnaire has been developed for understanding the customer’s perception towards EVs. The results of the survey are analysed using the tools on descriptive statistics, structural equation model using Statistical Package for the Social Sciences and hypothesis testing and the results are validated.FindingsThe results of the study are based on three hypotheses. The findings show that although the financial and the infrastructure factors have positive impact on rate of adoption of EVs in India; the vehicle performance factors have a negative impact on EVs adoption, implying that the respondents of the survey who feel that the vehicle performance factors are the most imperative have a more passive mind-set towards the EVs adoption.Research limitations/implicationsThe research work is based on the survey conducted on the pilot region of the national capital region of the country where the majority of the respondents of the survey are conventional fossil fuel vehicles (CFFV) owners. A more accurate analysis on the social factors affecting deployment of EVs in the Indian market can be done if the population of the survey consists of equal share of CFFV and EV owners from all across the nation.Practical implicationsThis study will help researchers get a better understanding of the reasons for slow adoption rate of EVs in India. This paper sheds light upon the social factors responsible for the same. The Government of India can use the results of this study to understand the factors responsible for non-adoption and the recommendations for its further work on “Faster Adoption and Manufacturing of (Hybrid) and Electric Vehicles” India scheme.Social implicationsResults of the study identifies the factors that slow down the adoption rate of EVs in India. The paper suggested potential solutions for the same. Successful implementation in terms of policies and technological advancements can propel India to the top in EV market. Switching to EVs brings about a radical change in the social life of the people and can improve the social status and lifestyle of the people.Originality/valueExisting research has not focussed much on the social aspects of EVs in India. The present work is solely the result of the strategic thinking, planning, work and implementation by the authors.

Factors Influencing Electrification of Urban Freight Vehicles: A Case Study of Three Indian Cities - Ahmedabad, Delhi, and Surat

India’s high levels of transport-related air pollution endanger public health. The transition to electric mobility will address this challenge while also reducing the country’s dependence on oil imports. The Government of India has offered incentives to electric vehicle manufacturers and purchasers that promote faster adoption of electric vehicles. The states have framed electric vehicle policies offering additional fiscal and non-fiscal incentives supporting this objective, but the adoption rate of electric vehicles in India is far below expectations. This paper aims to understand the factors that influence the electrification of urban freight vehicles. It does so with reference to urban freight movements linked to textile markets in Ahmedabad and Surat, and the fruit and vegetable market in Delhi. By studying these, it attempts to assess the impact of key policy and market conditions on the adoption of electric vehicles. Based on stakeholder perceptions, it further tries to identify the enablers and barriers to the electrification of urban freight vehicles.

The Impact of Battery-Electric Vehicles on Energy Consumption: A Macroeconomic Evidence from 29 European Countries

The impact of battery electric vehicles (BEV) on energy consumption was researched modeling energy consumption against BEVs, Gross Domestic Product (GDP) and e-commerce, using annual data from 2010 to 2020, for twenty-nine European countries, with quantile regression and OLS with fixed effects econometric techniques. It was found that GDP and e-commerce impact energy consumption positively, and BEVs reduce energy consumption. These findings support that efficiency gains could not reduce energy consumption, and e-commerce, via extra packaging, further usage of computer processors, and cryptocurrencies to purchase products are hampering the environment. BEVs were revealed to be more energy-efficient than conventional cars. Thus, energy conservation policies to combat global warming and climate change arise. First, policies should offer an alternative packaging system to lower the negative environmental impacts of additional packaging for online purchases, stimulate smaller packages, free up additional space on the transport, enhance the delivery system efficiency, and promote alternative delivery systems. Second, offering subsidies for purchasing BEVs or tax rebates will increase the adoption rate of electric vehicles and combine this policy with the CO2 emissions’ regulations to stimulate the demand for BEVs. Finally, affordable charging points should be provided and customer awareness of the benefits of BEVs should be improved.

Consumer Motivation to Enhance Purchase Intention Towards Electric Vehicles in Malaysia

Transportation is extremely important in contributing to the life quality development of urban areas. However, it has influenced negatively on individuals and the environment due to carbon emissions and gases. Worldwide, organizations and countries are exploring a solution and have developed Electric Vehicles (EVs) as the best possible solution. Electric vehicles emit no exhaust emissions and are powered by batteries. The adoption rate of EVs in rich countries is increasing year after year, while consumer adoption intention of EVs in poor countries is quite low, particularly in Malaysia. The ownership percentage of Internal Combustion Engine Vehicles (ICEs) in Malaysia is 93 percent, placing it near the top of the globe, but EV adoption is just about 3.5 percent. Consumer awareness of EVs is quite low, which is why consumer adoption intentions toward EVs are not increasing. Malaysia is the world's 26th highest emitter of carbon and greenhouse gases (GHG). This study will assist in identifying the characteristics that can maximize consumer interest in EVs and will be beneficial to the government and industry in developing the market as stated in the Paris accord and achieving the Carbon Neutral Nation 2050 aim. The study will go through the motivators that lead consumers to purchase EVs. These characteristics will provide transportation sectors insights on bridging the demand and supply of sustainable vehicles.

Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates.

Like many cities around the world, New York City is establishing policies to reduce CO2 emissions from all energy sectors by 2050. Understanding the impact of varying degrees of electric vehicle adoption and CO2 intensities on emissions reduction in the city is critical. Here, using a technology-rich, bottom-up, energy system optimization model, we analyse the cost and air emissions impacts of New York City's proposed CO2 reduction policies for the transportation sector through a scenario framework. Our analysis reveals that the electrification of light-duty vehicles at earlier periods is essential for deeper reductions in air emissions. When further combined with energy efficiency improvements, these actions contribute to CO2 reductions under the scenarios of more CO2-intense electricity. Substantial reliance on fossil fuels and a need for structural change pose challenges to cost-effective CO2 reductions in the transportation sector. Here we find that uncertainties associated with decarbonization of the electric grid have a minimum influence on the cost-effectiveness of CO2 reduction pathways for the transportation sector.

A data-driven mobility–energy typology framework for New York State

Exploring multidimensional aspects of differences in technology adoption, travel, and vehicle ownership across settlement types can help inform energy-efficient and affordable mobility system goals. At the same time, mapping key enablers, barriers, and risks for successfully meeting ambitious goals and targets (e.g. by geography, age, income, education, population density) offer important explanatory power as to context-specific challenges and opportunities. This paper explores how a highly geographically resolved understanding of social, economic, techno-infrastructural, environmental, and governance (SET EG) factors shape variations in technology adoption and associated mobility and energy outcomes in diverse communities of New York State, in terms of electric vehicle adoption rates, alternative commute mode choices, vehicles per household, and vehicle fuel economy. Results indicate the range of two to three times higher adoption rates for electric vehicles by more highly educated, wealthier, “Core Urban” populations relative to the other identified typologies, given the labels “Rural”, “Suburban”, and “Urban” populations. Additionally, commute mode choice is closely linked with population and employment density—more than 89% of Core Urbanites use transit or active modes, compared with just 26% and 18% of Suburban and Rural residents, respectively. Household vehicle ownership varies from approximately 1.9 vehicles per household in Rural areas to only 0.6 in Core Urban settings. Findings on differences among the four settlement types, which go beyond simply rural to urban contexts, suggest an important need to explore how best to manage and anticipate very different types of services that may be supportive in achieving energy-efficient and affordable mobility systems statewide.

The impact of smart connectivity features on customer engagement in electric vehicles

Sustainable transportation is one of the solutions to global warming because road transport is responsible for a considerable part of the total carbon emissions. Electric vehicle (EV) technology is still developing, and most of the available brands market them as either environmentally friendly or operationally economical compared to internal combustion engine based traditional vehicles. However, the adoption rates of electric vehicles across the globe are meager. Customer engagement (CEN) is one of the emerging concepts for gaining and retaining users of a product. This research analyzes CEN in EVs based on more engaging features and technologies, i.e., smart connectivity features. Unfortunately, this vital research area remains unexplored in academia. The role of customer experience and customer brand value is also analyzed in relation to smart connectivity features and CEN. The study uses partial least square-based structural equation modeling to analyze the collected data through a web-based survey. The results show that smart connectivity features have a significant positive impact on CEN in EVs. Smart connectivity features also have a significant indirect effect on CEN through customer experience. Further, customer brand value has a direct impact on customer experience, and customer brand value also has a significant indirect effect on CEN in EVs. These results have significant theoretical and managerial implications.