Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China

He, Sylvia Y.; Kuo, Yong-Hong; Wu, Dan

doi:10.1016/j.trc.2016.02.003

Cited by 189 publications

(87 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This situation can cause difficulties for consumers and can be a barrier to them purchasing a PEV (Living Lab Smart Charging, 2017). To reduce complexity policymakers and charging infrastructure companies are finding ways to ensure PEV owners can access any charging station, regardless of membership status (He et al, 2016). This has been done in the Netherlands and Portugal, is a requisite for public charging in Germany, and has been proposed as a legislation in the UK.…”

Section: Pricing and Interoperabilitymentioning

confidence: 99%

A review of consumer preferences of and interactions with electric vehicle charging infrastructure

Hardman

Jenn

Tal

et al. 2018

Transportation Research Part D: Transport and Environment

524

211

View full text Add to dashboard Cite

This is the autho s e sio of a o k that was published in the following source: Hardman, S.; Jenn, A.; Beard, G.; Daina, N.;Figenbaum, E.; Jochem, P. E. P.; Kinnear, N. A. D.; Pontes, J. P.;Refa, N.;Turrentine, T. S.; Witkamp, B. (2018). AbstractThis paper presents a literature review of studies that investigate infrastructure needs to support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature relating to consumer preferences for charging infrastructure, and how consumers interact with and use this infrastructure. This includes studies that use questionnaire surveys, interviews, modelling, GPS data from vehicles, and data from electric vehicle charging equipment. These studies indicate that the most important location for PEV charging is at home, followed by work, and then public locations. Studies have found that more effort is needed to ensure consumers have easy access to PEV charging and that charging at home, work, or public locations should not be free of cost. Research indicates that PEV charging will not impact electricity grids on the short term, however charging may need to be managed when the vehicles are deployed in greater numbers. In some areas of study the literature is not sufficiently mature to draw any conclusions from. More research is especially needed to determine how much infrastructure is needed to support the roll out of PEVs. This paper ends with policy implications and suggests avenues of future research.Next, we provide background information on charging modes and levels and then introduce the approach to the literature review. Section 2 then summarises the literature, whilst Section 3 concludes with insights for policymakers and literature gaps.

show abstract

Section: Pricing and Interoperabilitymentioning

confidence: 99%

A review of consumer preferences of and interactions with electric vehicle charging infrastructure

Hardman

Jenn

Tal

et al. 2018

Transportation Research Part D: Transport and Environment

524

211

View full text Add to dashboard Cite

show abstract

“…The charging infrastructure must satisfy the running demands of EVs, so as to form the constraints from charging demands, traffic conditions, utilization convenience, which are showed in the following sections [29].…”

Section: Traffic and Utilization Constraintsmentioning

confidence: 99%

Planning of Electric Vehicle Charging Infrastructure for Urban Areas with Tight Land Supply

Guo

Yang

2018

Energies

View full text Add to dashboard Cite

Motivated by the development of electric vehicles (EVs), this paper addresses the planning of EV charging infrastructures (EVCIs). Considering that the optimal locations for EVCIs in most cities with a tight land supply are difficult to obtain, it is significant to study the planning of EVCIs in such cities. This paper proposes a planning method and model of EVCIs under the condition that alternative locations of centralized charging infrastructures (CCIs) are known. Firstly, based on the principle of energy equivalence, the sales volume of the fuel of gas stations in the planned area is converted into the equivalent electric quantity (EEQ) and the EEQ is divided according to the demands of different EVs for charging. Then, an equal product of the load and distance (EPLD) criterion is used to distribute the EEQ to CCIs and distributed charging infrastructures (DCIs) located in areas for load forecasting. The final plan is given out after checking the constraints and planning rationality. In addition, the net present value (NPV), the average charging distance, and the total harmonic distortion (THD) rate are used to evaluate the planning scheme. Finally, the feasibility and practicability of the proposed method are verified by a case study in Beijing.

show abstract

“…While the first is to maximize the amount of flows captured by a fixed number of charging facilities, the second aims at minimizing the cost of installing a variable number of fast charging stations capturing a given minimum amount of flow. In their study, He [18], compared three different facility location models to identify the optimal location of public electric vehicle charging stations. In addition to the determination of ideal charging locations, the work examines the cost-effectiveness of the infrastructure layout by assessing the impact of an increasing number of charging stations on the demand to be covered.…”

Section: Literature Reviewmentioning

confidence: 99%

Electrification of a City Bus Network: An Optimization Model for Cost-Effective Placing of Charging Infrastructure and Battery Sizing of Fast Charging Electric Bus Systems

Kunith

Mendelevitch²,

Goehlich

2016

SSRN Journal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe deployment of battery-powered electric bus systems within the public transportation sector plays an important role to increase energy efficiency and to abate emissions. Rising attention is given to bus systems using fast charging technology. This concept requires a comprehensive infrastructure to equip bus routes with charging stations. The combination of charging infrastructure and bus batteries needs a reliable energy supply to maintain a stable bus operation even under demanding conditions. An efficient layout of the charging infrastructure and an appropriate dimensioning of battery capacity are crucial to minimize the total cost of ownership and to enable an energetically feasible bus operation. In this work, the central issue of jointly optimizing the charging infrastructure and battery capacity is described by a capacitated set covering problem. A mixed-integer linear optimization model is developed to determine the minimum number and location of required charging stations for a bus network as well as the adequate battery capacity for each bus line of the network. The bus energy consumption for each route segments is determined based on individual route, bus type, traffic and other information. Different scenarios are examined in order to assess the influence of charging power, climate and changing operating conditions. The findings reveal significant differences in terms of needed infrastructure depending on the scenarios considered. Moreover, the results highlight a trade-off between battery size and charging infrastructure under different operational and infrastructure conditions. The paper addresses upcoming challenges for transport authorities during the electrification process of the bus fleets and sharpens the focus on infrastructural issues related to the fast charging concept. JEL codes: C61; L92; R42

show abstract

Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China

Cited by 189 publications

References 76 publications

A review of consumer preferences of and interactions with electric vehicle charging infrastructure

A review of consumer preferences of and interactions with electric vehicle charging infrastructure

Planning of Electric Vehicle Charging Infrastructure for Urban Areas with Tight Land Supply

Electrification of a City Bus Network: An Optimization Model for Cost-Effective Placing of Charging Infrastructure and Battery Sizing of Fast Charging Electric Bus Systems

Contact Info

Product

Resources

About