The thesis considers methods for the spatial deployment of public charging stations for electric vehicles. After studying the future situation for public charging infrastructure three cases where spatial deployment methods can come to use were identied: Public slow charging a within city area Public fast charging a within city area Charging station alongside a major road The methods were constructed using the GIS-software ArcGIS and was then validated using three different test studies (an introduction to GIS and ArcGIS is found in Appendix A). It could be concluded that it is difficult to predict the future public charging need because of uncertainties in predicting the future electric vehicle market penetration, charging behaviours and market models. The GIS software used proved to have many useful tools which made the deployment implementation straight forward. Much work will have to be invested in nding adequate GIS input data and defining the method objective and parameters, since each deployment situation is unique.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-177014 |
| Date | January 2012 |
| Creators | Lindblad, Liselotte |
| Publisher | Uppsala universitet, Fasta tillståndets fysik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UPTEC ES, 1650-8300 ; 12023 |
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