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dc.contributor.authorTang, Xucheng
dc.date.accessioned2019-10-15T15:31:35Z
dc.date.available2019-10-15T15:31:35Z
dc.date.issued2019-05-30
dc.identifier.otherTang_cornell_0058O_10498
dc.identifier.otherhttp://dissertations.umi.com/cornell:10498
dc.identifier.otherbibid: 11050401
dc.identifier.urihttps://hdl.handle.net/1813/67419
dc.descriptionSupplemental file(s) description: Code and output
dc.description.abstractMotivated by the necessity to reduce GHG emissions by commuting vehicles and improve users’ convenience, this thesis is dedicated to proposing an optimal network and management of Electric Vehicle (EV) charging stations on campus making the most of the zero tailpipe emissions of EVs. The problem has been decomposed with identified critical components to construct a basic Mixed Integer Programming (MIP) model maximizing the convenience benefits and minimizing the construction costs. Moreover, an expanded model has been proposed in accordance with another sub-objective of gaining greater environmental benefits. Two models are solved by CPLEX in Python with necessary inputs from several sources. Last but not least, the validity of the models has been verified by linearized relaxation, sensitivity analysis, and scenario analysis, which prove the enormous applicability and capability of two models.
dc.language.isoen_US
dc.subjectCharging stations
dc.subjectCPLEX
dc.subjectElectric vehicle
dc.subjectGoogle Maps API
dc.subjectQGIS
dc.subjectTransportation
dc.subjectMixed Integer Programming
dc.titleOPTIMAL NETWORK AND MANAGEMENT OF ELECTRIC VEHICLE CHARGING STATIONS AT UNIVERSITY CAMPUSES
dc.typedissertation or thesis
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Civil and Environmental Engineering
dc.contributor.chairGao, Huaizhu
dc.contributor.committeeMemberSamaranayake, Samitha
dcterms.licensehttps://hdl.handle.net/1813/59810
dc.identifier.doihttps://doi.org/10.7298/vnwt-vn56


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