Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model
Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2011.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/65504 |
| _version_ | 1811082045103800320 |
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| author | Kearney, Michael J. (Michael Joseph) |
| author2 | John Sterman. |
| author_facet | John Sterman. Kearney, Michael J. (Michael Joseph) |
| author_sort | Kearney, Michael J. (Michael Joseph) |
| collection | MIT |
| description | Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2011. |
| first_indexed | 2024-09-23T11:56:13Z |
| format | Thesis |
| id | mit-1721.1/65504 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:56:13Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/655042019-04-12T15:37:54Z Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model Kearney, Michael J. (Michael Joseph) John Sterman. Massachusetts Institute of Technology. Technology and Policy Program. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Technology and Policy Program. Engineering Systems Division. Technology and Policy Program. Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 64-67). The United States government is committed to promoting a market for electric vehicles. To ensure that this electrification program does not result in the same failure that has come be associated with its predecessor programs, Freedom Car and the Partnership for a New Generation of Vehicles, charging infrastructure must be available. At this point, however, it is unclear what the balance will be between industry and government involvement in enabling the distribution of electric vehicle service equipment (EVSE). A number of companies in the private sector have begun initial deployment projects, and municipalities, utilities and other commercial players are beginning to look into the provision of this equipment. However, little is understood about this market where uncertainties about vehicle sales, costs and government support abound. This thesis analyzes the economics of the infrastructure market and explores the internal logic for the companies involved through a dynamic behavioral spatial model to draw policy recommendations for the roles of the government and the private sector in vehicle electrification. Because of the low cost of electricity and high costs of charging infrastructure capital, it will be difficult for EVSE providers to earn a profit selling electricity. Model simulations demonstrate the importance of a public sector infrastructure roll out strategy and investment innovation in the EVSE market toward faster and cheaper charging options. Policies to stimulate electric vehicle adoption must focus on R&D for charging stations and deploying infrastructure. by Michael J. Kearney. S.M.in Technology and Policy 2011-08-30T15:43:21Z 2011-08-30T15:43:21Z 2011 2011 Thesis http://hdl.handle.net/1721.1/65504 746755959 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 70 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Engineering Systems Division. Technology and Policy Program. Kearney, Michael J. (Michael Joseph) Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model |
| title | Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model |
| title_full | Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model |
| title_fullStr | Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model |
| title_full_unstemmed | Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model |
| title_short | Electric vehicle charging infrastructure deployment : policy analysis using a dynamic behavioral spatial model |
| title_sort | electric vehicle charging infrastructure deployment policy analysis using a dynamic behavioral spatial model |
| topic | Engineering Systems Division. Technology and Policy Program. |
| url | http://hdl.handle.net/1721.1/65504 |
| work_keys_str_mv | AT kearneymichaeljmichaeljoseph electricvehiclecharginginfrastructuredeploymentpolicyanalysisusingadynamicbehavioralspatialmodel |