Deploying Electric Vehicle Charging Stations Considering Time Cost and Existing Infrastructure

Qiao, Yuan; Huang, Kaisheng; Jeub, Johannes; Qian, Jianan; Song, Yizhou

doi:10.3390/en11092436

Cited by 14 publications

(9 citation statements)

References 20 publications

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“…A different concept of a method for determining the locations of charging stations was discussed in paper [12], with the potential locations being analysed with reference to the existing infrastructure. The Voronoi diagram was used to divide the area subject to analysis and search for new charging station sites.…”

Section: Overview Of the Methods Used For Optimal Siting Of Charging mentioning

confidence: 99%

Decision Making Support for Local Authorities Choosing the Method for Siting of In-City EV Charging Stations

2020

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Development of electromobility in urban areas requires an appropriate level of vehicle charging infrastructure. Numerous methods for siting of charging stations have been developed to date, and they appear to be delivering diverse outcomes for the same area, which is why local authorities face the problem of choosing the right station layout. The solution proposed in this article is to use a travel planner to evaluate the distribution of charging stations over the area of a metropolis. The decision making support is achieved by determining optimal travel routes for electric vehicles according to their initial state of charge for the three selected station siting methods. The evaluation focused on the following three aspects: (1) number of travels that cannot be made (due to the lack of a charging station at a certain distance around the start point), (2) extension of the travel caused by the need to recharge the vehicle on-route, and (3) additional energy consumption by electric vehicles required to reach the charging station (necessity of departing from the optimal route). An analysis of the results has made it possible to determine a solution which is superior to others. For the case study analysed in the paper, i.e., the territory of the Metropolis of Upper Silesia and Dabrową Basin (Górnośląsko-Zagłębiowska Metropolia, GZM), the distribution of charging stations established in line with method I has returned the best results. What the method in question also makes possible is to indicate a safe minimum energy reserve to complete the travel by eliminating situations of unexpected vehicle immobilisation due to on-route energy depletion and by minimising the phenomenon referred to as range anxiety.

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Section: Overview Of the Methods Used For Optimal Siting Of Charging mentioning

confidence: 99%

Decision Making Support for Local Authorities Choosing the Method for Siting of In-City EV Charging Stations

2020

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“…The Chinese government has adopted multiple policies to reduce residential energy consumption. Existing research has analyzed the tiered pricing system of electricity (TPE) and its impacts on household energy conservation [4][5][6] as well as electric vehicles for private families [7,8], to name a few. The majority of studies focus either on the public acceptance of some specific policies or the effects of the specific policies [9].…”

Section: Literature Review and Analytical Frameworkmentioning

confidence: 99%

Residential Energy Sustainability in China and Germany: The Impact of National Energy Policy System

2018

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The energy consumption and carbon emission of Chinese households is growing rapidly and will continue to do so for the near future. Currently, Chinese energy policies mainly focus on the industrial sector instead of the residential sector. Among industrialized countries, Germany has performed relatively well in the residential sector, which can provide valuable lessons for China. This paper investigates the policy-making, implementation, and resulting patterns of Chinese and German residential energy policies from a multi-level perspective. The policy system study provides a holistic view over the factors influencing residential energy sustainability. The main findings are: (1) the German residential energy policy system follows a hybrid policy model, combining top-down and bottom-up policy designs, with more demand-side or market-oriented policies, and a high level of public participation, resulting in remarkable headway toward sustainability in the residential energy sector; and (2) the Chinese energy policy system is characterized by top-down, supply-side oriented market policies with limited public participation. The policy implication of this study for China is to shift its top-down policy paradigm to a hybrid policy model that facilitates public participation in the residential energy sector.

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“…Voronoi diagrams are widely used to deal with spatial optimization and spatial partitioning problems, especially in delimiting the service area of facilities [13][14][15][16]. Recently, Qiao et al [17] used the Voronoi diagram to create service areas for the charging stations in Shanghai and then identified the one with the highest time cost to locate the new facility. Despite the planning of urban services being extensively studied in the past, the balancing between service demand and supply remains a challenging task in the new complex environment.…”

Section: Introductionmentioning

confidence: 99%

Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study

Chen

et al. 2020

IJERPH

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Under the rapid development of urbanization, fire service becomes one of the biggest contributive factors to personal health and property safety. A reasonable plan of fire services should first address the issue of service area delimitation for fire emergency facilities. Specifically, there are two key factors for fire services including rescue efficiency and load balancing, which are usually handled by the space partitioning methods (e.g., Voronoi diagram). The traditional methods tend to model the space in a homogeneous plane with Euclidean distance, while in reality, the movement of rescuing is constrained by the street network. In addition, the built environment is complex by its variation of fire risk across places. Therefore, we propose a novel constrained Voronoi diagram for fire service area delimitation by adding the datasets of street network and historical fire incidents. Considering the prior knowledge that a fire engine is expected to reach the location of incident within five minutes, which is also called Golden 5 min, we propose a network partitioning algorithm which is able to increase the five-minute coverage of fire stations. Through a case study in Nanjing, China, we demonstrate the practicability of the proposed method in delimitating service areas of fire stations across time.the unbalanced built environment leads to the spatial heterogeneity of service demand. At the same time, the intricate roads have greatly affected the ability of urban services. Therefore, the traditional Voronoi diagram that models the urban space as a homogeneous environment is no longer suitable for delimiting the service areas of current urban facilities.In the literature, many extensions of the Voronoi diagram have been developed to adapt to the complexity of real-world geographic scenes. For example, Okabe et al. [18] formulate six Voronoi diagrams defined on the network, termed generalized network Voronoi diagrams, to precisely represent service areas in urban areas. The extension of the Voronoi diagram to a network space is more in line with the real characteristics of a street network service transmission and more suitable for urban activities, e.g., retail services. With considering the geographic distribution of demands and the socioeconomic context, Wang et al. [19] apply the hexagon-based adaptive crystal growth Voronoi diagrams to delimit middle school service areas. The results indicate that, compared with the raster-based method, the hexagon grid method is more accurate in measuring continuous weighted planes. Furthermore, the weighted Voronoi diagram allows for a more detailed modeling of services by introducing the varied capabilities of a facility. It is widely used in urban planning applications including trade zone design [20], transportation and logistics problems [21-23], political districting [24], substation planning [25,26], and school districting [19,27].However, there are few studies on the service division applied to urban emergency facilities, especially fire stations. As a critical emergenc...

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Deploying Electric Vehicle Charging Stations Considering Time Cost and Existing Infrastructure

Cited by 14 publications

References 20 publications

Decision Making Support for Local Authorities Choosing the Method for Siting of In-City EV Charging Stations

Decision Making Support for Local Authorities Choosing the Method for Siting of In-City EV Charging Stations

Residential Energy Sustainability in China and Germany: The Impact of National Energy Policy System

Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study

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