extended-abstract

EV charging: separation of green and brown energy using IoT

Authors:

Janet van der Linden,

John MooreAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 674 - 677

https://doi.org/10.1145/2968219.2968346

Published: 12 September 2016 Publication History

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Abstract

The energy drivers use to charge their Electric Vehicles (EVs) comes from various sources. Of those, some are renewable green energy sources such as solar photovoltaic systems (SolarPV) and home storage battery whilst some are called brown sources such as gas turbine, coal and oil. To analyse the behaviour of EV drivers as to how they use household green and brown energy, separating the mix is a necessity. This paper argues that the Internet of Things (IoT) can be helpful in achieving that goal and demonstrates a pilot study showing the process of separating the green and brown energy from the EV charging.

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Cited By

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Kumar VGunner SPregnolato MTully PGeorgalas NOikonomou GKaratzas STryfonas T(2024)Sense (and) the city: From Internet of Things sensors and open data platforms to urban observatoriesIET Smart Cities10.1049/smc2.12081Online publication date: 21-May-2024
https://doi.org/10.1049/smc2.12081
Hoque AAhmed MBarber ARizqullah AIqbal AKhandakar A(2021)Internet of Things Applications in Electric Vehicles—A ReviewRenewable Power for Sustainable Growth10.1007/978-981-33-4080-0_30(315-322)Online publication date: 21-Apr-2021
https://doi.org/10.1007/978-981-33-4080-0_30
Khatun MChowdhury NUddin M(2019)Malicious Nodes Detection based on Artificial Neural Network in IoT Environments2019 22nd International Conference on Computer and Information Technology (ICCIT)10.1109/ICCIT48885.2019.9038563(1-6)Online publication date: Dec-2019
https://doi.org/10.1109/ICCIT48885.2019.9038563
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Index Terms

EV charging: separation of green and brown energy using IoT
1. Human-centered computing

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Information & Contributors

Information

Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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Extended-abstract

Conference

UbiComp '16

Sponsor:

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all

Kumar VGunner SPregnolato MTully PGeorgalas NOikonomou GKaratzas STryfonas T(2024)Sense (and) the city: From Internet of Things sensors and open data platforms to urban observatoriesIET Smart Cities10.1049/smc2.12081Online publication date: 21-May-2024
https://doi.org/10.1049/smc2.12081
Hoque AAhmed MBarber ARizqullah AIqbal AKhandakar A(2021)Internet of Things Applications in Electric Vehicles—A ReviewRenewable Power for Sustainable Growth10.1007/978-981-33-4080-0_30(315-322)Online publication date: 21-Apr-2021
https://doi.org/10.1007/978-981-33-4080-0_30
Khatun MChowdhury NUddin M(2019)Malicious Nodes Detection based on Artificial Neural Network in IoT Environments2019 22nd International Conference on Computer and Information Technology (ICCIT)10.1109/ICCIT48885.2019.9038563(1-6)Online publication date: Dec-2019
https://doi.org/10.1109/ICCIT48885.2019.9038563
Chowdhury NMoore J(2018)Attention Management for Improved Renewable Energy Usage at Households Using IoT-enabled Ambient DisplaysProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274110(1215-1221)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3274110
Svangren MJensen RSkov MKjeldskov JBratteteig TSandnes FBerget G(2018)Driving on sunshineProceedings of the 10th Nordic Conference on Human-Computer Interaction10.1145/3240167.3240179(439-451)Online publication date: 29-Sep-2018
https://dl.acm.org/doi/10.1145/3240167.3240179
Chowdhury NPrice BSmith AGooch DLinden J(2018)50 Shades of Green and Brown: Comparing Grid Carbon Intensity with Consumption for Households with PV Generation and Battery Storage2018 IEEE Conference on Technologies for Sustainability (SusTech)10.1109/SusTech.2018.8671338(1-8)Online publication date: Nov-2018
https://doi.org/10.1109/SusTech.2018.8671338

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Recommendations

Exploring planning and operations design space for EV charging stations

Harvesting green miles from my roof: an investigation into self-sufficient mobility with electric vehicles

INTELLIGENT WIRELESS EV FAST CHARGING WITH SMFIR. TECHNOLOGY