A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki

Sanchari Deb

doi:10.1109/ICECCE52056.2021.9514190

A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki

Sanchari Deb^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

Large scale endorsement and adoption of Electric Vehicles (EVs) call for availability of sustainable charging infrastructure. Planning of charging infrastructure to meet the charging needs require identifying the charging hotspots where charging demand will be always relatively high. Also, identifying the charging hotspots in advance will enable distribution network operators to decide whether grid reinforcement is required to support the charging demand. This work proposes a novel methodology for identifying the charging hotspots for the city of Helsinki. Home charging scenario as well as charging at workplace, home and shopping centres are considered in this analysis. It is expected that this work will guide city planners to plan the charging infrastructure and distribution network operators to plan the grid reinforcement if required in advance.

Original language	English
Title of host publication	3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)	978-1-6654-3897-1
ISBN (Print)	978-1-6654-4602-0
DOIs	https://doi.org/10.1109/ICECCE52056.2021.9514190
Publication status	Published - 12 Jun 2021
MoE publication type	A4 Article in a conference publication
Event	3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021: Online - Virtual, Kuala Lumpur, Malaysia Duration: 12 Jun 2021 → 13 Jun 2021

Conference

Conference	3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021
Country/Territory	Malaysia
City	Kuala Lumpur
Period	12/06/21 → 13/06/21

Keywords

Charger
Electric Vehicle
grid
hotspot

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICECCE52056.2021.9514190

Cite this

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title = "A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki",

abstract = "Large scale endorsement and adoption of Electric Vehicles (EVs) call for availability of sustainable charging infrastructure. Planning of charging infrastructure to meet the charging needs require identifying the charging hotspots where charging demand will be always relatively high. Also, identifying the charging hotspots in advance will enable distribution network operators to decide whether grid reinforcement is required to support the charging demand. This work proposes a novel methodology for identifying the charging hotspots for the city of Helsinki. Home charging scenario as well as charging at workplace, home and shopping centres are considered in this analysis. It is expected that this work will guide city planners to plan the charging infrastructure and distribution network operators to plan the grid reinforcement if required in advance.",

keywords = "Charger, Electric Vehicle, grid, hotspot",

author = "Sanchari Deb",

note = "Funding Information: This research is supported by European Research Consortium of Informatics and Mathematics (ERCIM) Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021 : Online ; Conference date: 12-06-2021 Through 13-06-2021",

year = "2021",

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day = "12",

doi = "10.1109/ICECCE52056.2021.9514190",

language = "English",

isbn = "978-1-6654-4602-0",

booktitle = "3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

Deb, S 2021, A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki. in 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021. IEEE Institute of Electrical and Electronic Engineers, 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021, Kuala Lumpur, Malaysia, 12/06/21. https://doi.org/10.1109/ICECCE52056.2021.9514190

A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki. / Deb, Sanchari.
3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021. IEEE Institute of Electrical and Electronic Engineers, 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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AU - Deb, Sanchari

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N2 - Large scale endorsement and adoption of Electric Vehicles (EVs) call for availability of sustainable charging infrastructure. Planning of charging infrastructure to meet the charging needs require identifying the charging hotspots where charging demand will be always relatively high. Also, identifying the charging hotspots in advance will enable distribution network operators to decide whether grid reinforcement is required to support the charging demand. This work proposes a novel methodology for identifying the charging hotspots for the city of Helsinki. Home charging scenario as well as charging at workplace, home and shopping centres are considered in this analysis. It is expected that this work will guide city planners to plan the charging infrastructure and distribution network operators to plan the grid reinforcement if required in advance.

AB - Large scale endorsement and adoption of Electric Vehicles (EVs) call for availability of sustainable charging infrastructure. Planning of charging infrastructure to meet the charging needs require identifying the charging hotspots where charging demand will be always relatively high. Also, identifying the charging hotspots in advance will enable distribution network operators to decide whether grid reinforcement is required to support the charging demand. This work proposes a novel methodology for identifying the charging hotspots for the city of Helsinki. Home charging scenario as well as charging at workplace, home and shopping centres are considered in this analysis. It is expected that this work will guide city planners to plan the charging infrastructure and distribution network operators to plan the grid reinforcement if required in advance.

KW - Charger

KW - Electric Vehicle

KW - grid

KW - hotspot

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AN - SCOPUS:85115081208

SN - 978-1-6654-4602-0

BT - 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021

Y2 - 12 June 2021 through 13 June 2021

ER -

A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki

Abstract

Conference

Keywords

UN SDGs

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