scholarly journals Electric Vehicles in an Urban Context: Environmental Benefits and Techno-Economic Barriers

Author(s):  
Adolfo Perujo ◽  
Christian Thiel ◽  
Francoise Nemry
2021 ◽  
Vol 13 (6) ◽  
pp. 3199
Author(s):  
Laith Shalalfeh ◽  
Ashraf AlShalalfeh ◽  
Khaled Alkaradsheh ◽  
Mahmoud Alhamarneh ◽  
Ahmad Bashaireh

An increasing number of electric vehicles (EVs) are replacing gasoline vehicles in the automobile market due to the economic and environmental benefits. The high penetration of EVs is one of the main challenges in the future smart grid. As a result of EV charging, an excessive overloading is expected in different elements of the power system, especially at the distribution level. In this paper, we evaluate the impact of EVs on the distribution system under three loading conditions (light, intermediate, and full). For each case, we estimate the maximum number of EVs that can be charged simultaneously before reaching different system limitations, including the undervoltage, overcurrent, and transformer capacity limit. Finally, we use the 19-node distribution system to study these limitations under different loading conditions. The 19-node system is one of the typical distribution systems in Jordan. Our work estimates the upper limit of the possible EV penetration before reaching the system stability margins.


2021 ◽  
Vol 14 (1) ◽  
pp. 1019-1037
Author(s):  
William Riggs ◽  
Shivani Shukla

Over the past decade, there has been rapid growth in the development and infusion of new and disruptive transportation. Some of the pivotal emergent technologies range from micro-mobility and bikeshare to ridesourcing that is set to utilize automated vehicles. This paper introduces and defines minimobility that falls between a regular ridesourcing/taxi option and micromobility, and also providing critical logistics services during the era of COVID-19. In Central Stockholm the platform has provided a safe and environmentally friendly mode choice that occupies limited space and efficiently serves on the congested city network. We explore potential economic and environmental benefits of minimobility, discussing the advantages and disadvantages of deploying such a service. While we demonstrate a general increase in VMT, consistent with other work showing increased travel from new mobility, due to the electric platform this increase in customer access to mobility results in minimal GHG impacts. is informs how planners and engineers can explore minimobility platforms not only as reduced emissions solutions to urban transit issues but as tools to increase total mobility particularly for the most vulnerable.


2017 ◽  
Vol 1 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Grady Killeen ◽  
Arik Levinson

In March 2017, EPA Administrator Scott Pruitt reopened an evaluation of the automotive fuel economy and greenhouse gas emissions standards that the EPA had finalized in January. This case provides a history of the rules, along with assessments of their costs and benefits. It addresses numerous debates, including the environmental benefits of the rules, the role of electric vehicles, whether the standards should be less strict for larger cars, and tradeoffs between fuel economy and safety.


2021 ◽  
Vol 4 (2) ◽  
pp. 21-27
Author(s):  
Sharyar ul Hassan Hashmi ◽  
Abasin Ulasyar ◽  
Haris Sheh Zad ◽  
Abraiz Khattak ◽  
Kashif Imran

In this paper, energy management system (EMS) is proposed for institution which helps in reducing the operational cost with the help of using different distributed generators (DGs) and electric vehicles. For this purpose, a scenario is created in which university is connected with national grid having self-powered PV plant, electric vehicles and a diesel generator. Impact of various distributed generators and optimally scheduled energy storage system (ESS) are analyzed for the university campus which helps in reducing operational cost of energy by using campus load data. The proposed model consist of different distributed generators and their effects are observed in various scenarios. Mix Integer linear programming (MILP) is used to get optimized result and then it is compared with Ant Colony Optimization and Linear programming (LP) techniques. Economic and environmental benefits are also discussed. Operational cost was measured and compared and found the role of ESS by using MILP in minimizing operational cost from $798.560 to $756.3850.


2016 ◽  
Vol 106 (12) ◽  
pp. 3700-3729 ◽  
Author(s):  
Stephen P. Holland ◽  
Erin T. Mansur ◽  
Nicholas Z. Muller ◽  
Andrew J. Yates

We combine a theoretical discrete-choice model of vehicle purchases, an econometric analysis of electricity emissions, and the AP2 air pollution model to estimate the geographic variation in the environmental benefits from driving electric vehicles. The second-best electric vehicle purchase subsidy ranges from $2,785 in California to −$4,964 in North Dakota, with a mean of −$1,095. Ninety percent of local environmental externalities from driving electric vehicles in one state are exported to others, implying they may be subsidized locally, even when the environmental benefits are negative overall. Geographically differentiated subsidies can reduce deadweight loss, but only modestly. (JEL D12, D62, H23, L62, Q53, Q54, R11)


2021 ◽  
Vol 3 ◽  
Author(s):  
Bokolo Anthony Jnr.

The digitalization of the power grid to smart grid provides value added services to the prosumers and other stakeholders involved in the energy market, and possibly disrupts existing electricity services in smart cities. The use of Electric Vehicles (EVs) do not only challenge the sustainability of the smart grid but also promote and stimulate its upgrading. Undeniably, EVs can actively promote the development of the smart grid via two-way communications by deploying Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V). EVs have environmental benefits as compared to hybrids or even internal combustion engine vehicle as they can help minimize noise levels, pollution, and greenhouse gas emissions. The integration of EVs could bring substantial changes for the society not only in providing transportation services but also shifting economies from petroleum and reducing the carbon dioxide (CO2) emission from the transportation sector. Therefore, this study employs secondary data from the literature to explore how EVs can achieve sustainable energy as a service business model in smart cities. Findings from this study suggest that EVs are major assets for a sustainable energy future as EV batteries offers an untapped opportunity to store electricity from renewable energy sources. Implications from this study discusses the issues and recommendations for EVs integration in smart cities.


2021 ◽  
pp. 38-44
Author(s):  
Md. Raquibul Hasan

This paper provides an insight into the labour market impacts of the COVID-19 crisis in Bangladesh, focusing on Rajshahi City Corporation. A survey was built to collect data about job switching nature before and during the crisis to shed light on the implications of COVID-19 on employment and earnings. The findings presented here indicate substantial labour market impacts both at the extensive and intensive margin, mainly due to the nature of the crisis's occupations. And the sufferers switch their jobs to 3-wheeler EVs industry as a driver or mechanic. Bus helper job was the most susceptible job during the pandemic, followed by garments. Due to the countrywide lockdown, emissions from vehicles were restricted, it was found that the air quality has been improved throughout the country during the lockdown. And 3-wheeler electric vehicles play a vital role to ease this issue. The study also assesses the impact of lockdown measures on air quality in Rajshahi. Four different air pollutants data from the google earth engine (NO2, SO2, CO, and O3) were analyzed. The study evaluated that the lockdown measures significantly reduced air pollution because of reduced vehicular and industrial emissions in Bangladesh.


2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Kezhen Hu ◽  
Jianping Wu ◽  
Tim Schwanen

Electric vehicles (EVs) are widely regarded as a promising solution to reduce air pollution in cities and key to a low carbon mobility future. However, their environmental benefits depend on the temporal and spatial context of actual usage (journey energy efficiency) and the rolling out of EVs is complicated by issues such as limited range. This paper explores how the energy efficiency of EVs is affected and shaped by driving behavior, personal driving styles, traffic conditions, and infrastructure design in the real world. Tests have been conducted with a Nissan LEAF under a typical driving cycle on the Beijing road network in order to improve understanding of variations in energy efficiency among drivers under different urban traffic conditions. Energy consumption and operation parameters were recorded in both peak and off-peak hours for a total of 13 drivers. The analysis reported in this paper shows that there are clear patterns in energy consumption along a route that are in part related to differences in infrastructure design, traffic conditions, and personal driving styles. The proposed method for analyzing time series data about energy consumption along routes can be used for research with larger fleets of EVs in the future.


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