Leveraging temporal changes of spatial accessibility measurements for better policy implications: a case study of electric vehicle (EV) charging stations in Seoul, South Korea

Author(s):  
Jinwoo Park ◽  
Jeon-Young Kang ◽  
Daniel W. Goldberg ◽  
Tracy A. Hammond
2019 ◽  
Vol 26 ◽  
pp. 101015 ◽  
Author(s):  
Giuseppe Napoli ◽  
Antonio Polimeni ◽  
Salvatore Micari ◽  
Giorgio Dispenza ◽  
Vincenzo Antonucci

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1650 ◽  
Author(s):  
Bong-Gi Choi ◽  
Byeong-Chan Oh ◽  
Sungyun Choi ◽  
Sung-Yul Kim

Establishing electric vehicle supply equipment (EVSE) to keep up with the increasing number of electric vehicles (EVs) is the most realistic and direct means of promoting their spread. Using traffic data collected in one area; we estimated the EV charging demand and selected priority fast chargers; ranging from high to low charging demand. A queueing model was used to calculate the number of fast chargers required in the study area. Comparison of the existing distribution of fast chargers with that suggested by the traffic load eliminating method demonstrated the validity of our traffic-based location approach.


Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 27
Author(s):  
Yuana Adianto ◽  
Craig Baguley ◽  
Udaya Madawala ◽  
Nanang Hariyanto ◽  
Suwarno Suwarno ◽  
...  

Charge scheduling can mitigate against issues arising from excessive electric vehicle (EV) charging loads and is commonly implemented using time-of-use pricing. A charge scheduling strategy to suit vertically structured power systems without relying on time-of-use pricing has not yet been reported, despite being needed by industry. Therefore, a novel charge scheduling strategy to meet this need is proposed in this paper. Key aspects include the provision of a decision-making framework that accommodates for the considerations of transmission and distribution network operators, and the allowance for dynamically changing charging loads through timely forecast updates with reduced communication requirements. A case study based on the Indonesian Java-Bali power system is undertaken to demonstrate the strategy’s effectiveness. Different and realistic EV uptake scenarios are considered, using probabilistic modeling, survey work, and a Monte Carlo modeling approach. Even under slow EV charging conditions case study results show assets are overloaded and high electricity production costs are incurred. These are alleviated through adopting the proposed strategy.


2019 ◽  
Vol 10 (1) ◽  
pp. 14 ◽  
Author(s):  
Marte K. Gerritsma ◽  
Tarek A. AlSkaif ◽  
Henk A. Fidder ◽  
Wilfried G.J.H.M. van Sark

This paper proposes a method for analyzing and simulating the time-dependent flexibility of electric vehicle (EV) demand. This flexibility is influenced by charging power, which depends on the charging stations, the EV characteristics, and several environmental factors. Detailed charging station data from a Dutch case study have been analysed and used as input for a simulation. In the simulation, the interdependencies between plug-in time, connection duration, and required energy are respected. The data analysis of measured data reveals that 59% of the aggregated EV demand can be delayed for more than 8 h, and 16% for even more than 24 h. The evening peak shows high flexibility, confirming the feasibility of congestion management using smart charging within flexibility constraints. The results from the simulation show that the average daily EV demand increases by a factor 21 between the ‘Present-day’ and the ‘High’ scenario, while the maximum EV demand peak increases only by a factor 6, as a result of the limited simultaneity of the transactions. Further, simulations using the average charging power of individual measured transactions yield more accurate results than simulations using a fixed value for charging power. The proposed method for simulating future EV flexibility provides a basis for testing different smart charging algorithms.


2017 ◽  
Vol 46 (4) ◽  
pp. 603-625 ◽  
Author(s):  
Chang-Deok Kang

Attaining a mixture and diversity of land use within walkable neighborhoods is an essential principle within contemporary urban planning and design. Empirical studies by New Urbanists argue that mixed land use, neo-traditional, and walkable neighborhoods yield socioeconomic benefits and generate a substantial premium in residential property prices. However, few studies apply reliable metrics to capture the connections among urban form, the spatial distribution of land use, and travel behavior and then value their combined effects on housing prices. To bridge this gap, this study calculates the metrics of spatial accessibility and centrality, combining street nodes, networks, and built density by land use type within walkable neighborhoods. We investigate empirically the extent to which residents value spatial accessibility and centrality to residential, commercial, office, and industrial space regarding housing prices in Seoul, South Korea in 2010. The multilevel hedonic price models used suggest that residents highly value urban settings that access larger volumes of commercial and residential buildings in densely spaced areas along dense street networks. However, homeowners respond negatively to higher access to industrial property and weakly to office space. This analysis identifies the value of spatial access to heterogeneous land-use density in housing prices and provides policy implications for land use, transportation, and urban design.


2021 ◽  
Vol 13 (6) ◽  
pp. 3528
Author(s):  
Phap Vu Minh ◽  
Sang Le Quang ◽  
Manh-Hai Pham

At present, the electric vehicle (EV) market is developing strongly and widely across many countries around the world. Increasing clean energy infrastructure for EVs is a possible solution to reduce greenhouse gas emissions and help improve air quality in urban areas. Electric vehicles charged by electricity from photovoltaic (PV) systems can produce less emissions than conventional EVs charged by the utility grid. Thus, the combination of solar power and EV charging stations is one of the possible methods to achieve sustainable development in the current EV market. EVs in cities in Vietnam have developed very quickly in recent times, but the charging station infrastructure is still very limited, and most existing charging stations use electricity from the utility grid. In this paper, the optimal configuration of PV-powered EV charging stations is analyzed technically and economically under different solar irradiation conditions in Vietnam. The study results show that the optimal configuration and investment efficiency of PV-powered EV charging stations in each urban area are greatly affected by the solar irradiation value and feed-in tariff (FIT) price of rooftop solar power. In Vietnam, a region with high solar irradiation, such as Ho Chi Minh, is more likely to invest in PV-powered EV charging stations than other areas with lower solar irradiation, such as Hanoi.


Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1910
Author(s):  
Syed Muhammad Arif ◽  
Tek Tjing Lie ◽  
Boon Chong Seet ◽  
Soumia Ayyadi ◽  
Kristian Jensen

This paper presents a state-of-the-art review of electric vehicle technology, charging methods, standards, and optimization techniques. The essential characteristics of Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) are first discussed. Recent research on EV charging methods such as Battery Swap Station (BSS), Wireless Power Transfer (WPT), and Conductive Charging (CC) are then presented. This is followed by a discussion of EV standards such as charging levels and their configurations. Next, some of the most used optimization techniques for the sizing and placement of EV charging stations are analyzed. Finally, based on the insights gained, several recommendations are put forward for future research.


Sign in / Sign up

Export Citation Format

Share Document