Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis

The integration of large-scale wind farms and large-scale charging stations for electric vehicles (EVs) into electricity grids necessitates energy storage support for both technologies. Matching the variability of the energy generation of wind farms with the demand variability of the EVs could poten...

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Main Authors: Fuad Noman, Ammar Ahmed Alkahtani, Vassilios Agelidis, Kiong Sieh Tiong, Gamal Alkawsi, Janaka Ekanayake
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/16/5654
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spelling doaj-d79c0593e8654d4c9a471db31dadf2ec2020-11-25T03:42:15ZengMDPI AGApplied Sciences2076-34172020-08-01105654565410.3390/app10165654Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data AnalysisFuad Noman0Ammar Ahmed Alkahtani1Vassilios Agelidis2Kiong Sieh Tiong3Gamal Alkawsi4Janaka Ekanayake5Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Selangor 43000, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Selangor 43000, MalaysiaDepartment of Electrical Engineering, Technical University of Denmark, Anjer Engeluds Vej 1 Bygning 101A, 2800 Kgs. Lyngby, DenmarkInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Selangor 43000, MalaysiaInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Selangor 43000, MalaysiaDepartment of Electrical and Electronic Engineering, University of Peradeniya, Kandy 20400, Sri LankaThe integration of large-scale wind farms and large-scale charging stations for electric vehicles (EVs) into electricity grids necessitates energy storage support for both technologies. Matching the variability of the energy generation of wind farms with the demand variability of the EVs could potentially minimize the size and need for expensive energy storage technologies required to stabilize the grid. This paper investigates the feasibility of using the wind as a direct energy source to power EV charging stations. An interval-based approach corresponding to the time slot taken for EV charging is introduced for wind energy conversion and analyzed using different constraints and criteria, including the wind speed averaging time interval, various turbines manufacturers, and standard high-resolution wind speed datasets. A quasi-continuous wind turbine’s output energy is performed using a piecewise recursive approach to measure the EV charging effectiveness. Wind turbine analysis using two years of wind speed data shows that the application of direct wind-to-EV is able to provide sufficient constant power to supply the large-scale charging stations. The results presented in this paper confirm that the potential of direct powering of EV charging stations by wind has merits and that research in this direction is worth pursuing.https://www.mdpi.com/2076-3417/10/16/5654direct chargingelectric vehiclefast chargingwind energy
collection DOAJ
language English
format Article
sources DOAJ
author Fuad Noman
Ammar Ahmed Alkahtani
Vassilios Agelidis
Kiong Sieh Tiong
Gamal Alkawsi
Janaka Ekanayake
spellingShingle Fuad Noman
Ammar Ahmed Alkahtani
Vassilios Agelidis
Kiong Sieh Tiong
Gamal Alkawsi
Janaka Ekanayake
Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis
Applied Sciences
direct charging
electric vehicle
fast charging
wind energy
author_facet Fuad Noman
Ammar Ahmed Alkahtani
Vassilios Agelidis
Kiong Sieh Tiong
Gamal Alkawsi
Janaka Ekanayake
author_sort Fuad Noman
title Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis
title_short Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis
title_full Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis
title_fullStr Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis
title_full_unstemmed Wind-Energy-Powered Electric Vehicle Charging Stations: Resource Availability Data Analysis
title_sort wind-energy-powered electric vehicle charging stations: resource availability data analysis
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-08-01
description The integration of large-scale wind farms and large-scale charging stations for electric vehicles (EVs) into electricity grids necessitates energy storage support for both technologies. Matching the variability of the energy generation of wind farms with the demand variability of the EVs could potentially minimize the size and need for expensive energy storage technologies required to stabilize the grid. This paper investigates the feasibility of using the wind as a direct energy source to power EV charging stations. An interval-based approach corresponding to the time slot taken for EV charging is introduced for wind energy conversion and analyzed using different constraints and criteria, including the wind speed averaging time interval, various turbines manufacturers, and standard high-resolution wind speed datasets. A quasi-continuous wind turbine’s output energy is performed using a piecewise recursive approach to measure the EV charging effectiveness. Wind turbine analysis using two years of wind speed data shows that the application of direct wind-to-EV is able to provide sufficient constant power to supply the large-scale charging stations. The results presented in this paper confirm that the potential of direct powering of EV charging stations by wind has merits and that research in this direction is worth pursuing.
topic direct charging
electric vehicle
fast charging
wind energy
url https://www.mdpi.com/2076-3417/10/16/5654
work_keys_str_mv AT fuadnoman windenergypoweredelectricvehiclechargingstationsresourceavailabilitydataanalysis
AT ammarahmedalkahtani windenergypoweredelectricvehiclechargingstationsresourceavailabilitydataanalysis
AT vassiliosagelidis windenergypoweredelectricvehiclechargingstationsresourceavailabilitydataanalysis
AT kiongsiehtiong windenergypoweredelectricvehiclechargingstationsresourceavailabilitydataanalysis
AT gamalalkawsi windenergypoweredelectricvehiclechargingstationsresourceavailabilitydataanalysis
AT janakaekanayake windenergypoweredelectricvehiclechargingstationsresourceavailabilitydataanalysis
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