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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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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