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Challenges 2015, 6(2), 258-270;

Wind Energy Based Electric Vehicle Charging Stations Sitting. A GIS/Wind Resource Assessment Approach

1,*,† and 2,3,†
Soft Energy Applications & Environmental Protection Lab, Piraeus University of Applied Sciences, P.O. Box, 41046, Athens 12201, Greece
Centre for Research and Technology Hellas, Institute for Research and Technology of Thessaly, Technology Park of Thessaly, 1st Industrial Area, 38500 Volos, Greece
Department of Mechanical Engineering, University of Western Macedonia, Kozani 50100, Greece
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Palmiro Poltronieri
Received: 8 October 2015 / Revised: 14 November 2015 / Accepted: 20 November 2015 / Published: 26 November 2015
PDF [881 KB, uploaded 26 November 2015]


The transportation sector is severely correlated with major problems in environment, citizens’ health, climate and economy. Issues such as traffic, fuel cost and parking space have make life more difficult, especially in the dense urban environment. Thus, there is a great need for the development of the electric vehicle (EV) sector. The number of cars in cities has increased so much that the current transportation system (roads, parking places, traffic lights, etc.) cannot accommodate them properly. The increasing number of vehicles does not affect only humans but also the environment, through air and noise pollution. According to EPA, the 39.2% of total gas emissions in 2007 was caused by transportation activities. Studies have shown that the pollutants are not only gathered in the major roads and/or highways but can travel depending on the meteorological conditions leading to generic pollution. The promotion of EVs and the charging stations are both equally required to be further developed in order EVs to move out of the cities and finally confront the range problem. In this work, a wind resource and a GIS analysis optimizes in a wider area the sitting of wind based charging stations and proposes an optimizing methodology. View Full-Text
Keywords: electric vehicle; wind resource; GIS electric vehicle; wind resource; GIS

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Xydis, G.; Nanaki, E. Wind Energy Based Electric Vehicle Charging Stations Sitting. A GIS/Wind Resource Assessment Approach. Challenges 2015, 6, 258-270.

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