2016
DOI: 10.3390/wevj8040754
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Benchmarking Charging Infrastructure Utilization

Abstract: Short AbstractSince 2012 the Dutch metropolitan area (The metropole region of Amsterdam, the city of Amsterdam, Rotterdam, the Hague, Utrecht ) cooperate in finding the best way to stimulate electric mobility through the implementation of a public charging infrastructure. With more than 5600 charge points and 1.6 million charge sessions in the last two years this is one of the most extensively used public charging infrastructure available worldwide. In this paper a benchmark study is carried out to identify di… Show more

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Cited by 41 publications
(39 citation statements)
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“…The existing public charging infrastructure in Amsterdam consists of around 2600 charging points (January 2019, [29]) and is an important facility for EV drivers since most households do not have their own driveway. The average occupancy rate is about 50% but increases to 70% during the night [22]. The infrastructure is built on 3 × 25 A connections (three phases with a current limit of 25 Amperes), which constitute the standard connection category for Dutch households.…”
Section: Infrastructurementioning
confidence: 99%
See 2 more Smart Citations
“…The existing public charging infrastructure in Amsterdam consists of around 2600 charging points (January 2019, [29]) and is an important facility for EV drivers since most households do not have their own driveway. The average occupancy rate is about 50% but increases to 70% during the night [22]. The infrastructure is built on 3 × 25 A connections (three phases with a current limit of 25 Amperes), which constitute the standard connection category for Dutch households.…”
Section: Infrastructurementioning
confidence: 99%
“…Data on all transactions on public charging stations in Amsterdam is collected in the CHIEF database (Charging Infrastructure Efficiency database), which is managed and hosted by the Amsterdam University of Applied Sciences [22]. This data contains aggregated information on each charging session, such as the start time, end time, duration and total energy of the transaction as well as the Radio-frequency identification (RFID) of the user (the unique identifier of the contactless payment method such as payment card or smartphone).…”
Section: Datamentioning
confidence: 99%
See 1 more Smart Citation
“…First, usage patterns within the city of fast chargers and level 2 chargers are compared to illustrate the differences and similarities between these types of charging modes. This analysis is based upon a large dataset of 1.4 million charging sessions in four cities in The Netherlands, see [8,27] for a description of the dataset. Data are collected between 2016 and 2018.…”
Section: Charging Datamentioning
confidence: 99%
“…Zones with mostly one type of dwelling are expected to experience peak demand, while mixed areas with different sizes and building congifurations and types could assist different users with fewer chargers, making use of the demand variation over time. Still on charging behavior characterization, an article [13] presents different charging patterns to try and benchmark behaviors. The study focuses on five city areas with an extensive public charging infrastructure to establish whether and how charging behavior differs between cities.…”
Section: Introductionmentioning
confidence: 99%