{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/104991"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/104991","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Electrification of transportation sharing economy business models: the ride- and carsharing cases","abstract":"Electrification of urban transportation is on the rise. In April 2016, ridesharing company Teo Taxi launched a plug-in electric vehicle (PEV) fleet followed four months later by Uber. In 2020 Volkswagen will start a fully-electric carsharing platform, whereas other companies such as BMW already provide such a service. When driven, an electric vehicle garners profit for the platform through transportation. When parked, it can act as a controllable storage device either consuming surplus or injecting energy to the grid. Hence, managed PEV fleets provide unique grid-support opportunities, and added profits to the platform through vehicle-to-grid services. This thesis looks into two types of sharing economy business models with electric vehicles, namely the ride- and carsharing models. The former type of platform has transactional control over the vehicles, that is, private drivers respond to monetary incentives. The latter directly controls its fleet. This thesis develops a mathematical framework to analyze the aforementioned models through queuing theory. It characterizes viable control strategies for the platforms to co-optimize their revenues from both transportation and grid services. It develops profit maximization algorithms of the PEV fleet managers providing such services. Finally, variables of interest are plotted as a function of various platform parameters.","abstract_html":"Electrification of urban transportation is on the rise. In April 2016, ridesharing company Teo Taxi launched a plug-in electric vehicle (PEV) fleet followed four months later by Uber. In 2020 Volkswagen will start a fully-electric carsharing platform, whereas other companies such as BMW already provide such a service. When driven, an electric vehicle garners profit for the platform through transportation. When parked, it can act as a controllable storage device either consuming surplus or injecting energy to the grid. Hence, managed PEV fleets provide unique grid-support opportunities, and added profits to the platform through vehicle-to-grid services. This thesis looks into two types of sharing economy business models with electric vehicles, namely the ride- and carsharing models. The former type of platform has transactional control over the vehicles, that is, private drivers respond to monetary incentives. The latter directly controls its fleet. This thesis develops a mathematical framework to analyze the aforementioned models through queuing theory. It characterizes viable control strategies for the platforms to co-optimize their revenues from both transportation and grid services. It develops profit maximization algorithms of the PEV fleet managers providing such services. Finally, variables of interest are plotted as a function of various platform parameters.","abstract_has_math":false,"creators":["Mamalis, Theodoros"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Bose, Subhonmesh"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T20:35:45Z","date_published":"2019-08-23T20:35:45Z","updated_at":"2026-07-22T22:24:44Z","subjects":["electric vehicles, queuing networks, sharing economy, transportation, revenue maximization, vehicle-to-grid services, V2G"],"languages":["en"],"rights":["Copyright 2019 Theodoros Mamalis"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/104991","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bose, Subhonmesh"]},{"key":"dc:creator","label":"Author","values":["Mamalis, Theodoros"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T20:35:45Z","2021-08-24T09:15:31Z","2019-04-05","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["electric vehicles, queuing networks, sharing economy, transportation, revenue maximization, vehicle-to-grid services, V2G"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Theodoros Mamalis"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/104991"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Electrification of urban transportation is on the rise. In April 2016, ridesharing company Teo Taxi launched a plug-in electric vehicle (PEV) fleet followed four months later by Uber. In 2020 Volkswagen will start a fully-electric carsharing platform, whereas other companies such as BMW already provide such a service. When driven, an electric vehicle garners profit for the platform through transportation. When parked, it can act as a controllable storage device either consuming surplus or injecting energy to the grid. Hence, managed PEV fleets provide unique grid-support opportunities, and added profits to the platform through vehicle-to-grid services. This thesis looks into two types of sharing economy business models with electric vehicles, namely the ride- and carsharing models. The former type of platform has transactional control over the vehicles, that is, private drivers respond to monetary incentives. The latter directly controls its fleet. This thesis develops a mathematical framework to analyze the aforementioned models through queuing theory. It characterizes viable control strategies for the platforms to co-optimize their revenues from both transportation and grid services. It develops profit maximization algorithms of the PEV fleet managers providing such services. Finally, variables of interest are plotted as a function of various platform parameters.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Theodoros Mamalis, accepted the attached license on 2019-04-05 at 13:53.","The student, Theodoros Mamalis, submitted this Thesis for approval on 2019-04-05 at 14:09.","This Thesis was approved for publication on 2019-04-05 at 16:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13496 on 2019-08-22 at 15:05:24","Made available in DSpace on 2019-08-23T20:35:45Z (GMT). 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In April 2016, ridesharing company Teo Taxi launched a plug-in electric vehicle (PEV) fleet followed four months later by Uber. In 2020 Volkswagen will start a fully-electric carsharing platform, whereas other companies such as BMW already provide such a service. When driven, an electric vehicle garners profit for the platform through transportation. When parked, it can act as a controllable storage device either consuming surplus or injecting energy to the grid. Hence, managed PEV fleets provide unique grid-support opportunities, and added profits to the platform through vehicle-to-grid services. This thesis looks into two types of sharing economy business models with electric vehicles, namely the ride- and carsharing models. The former type of platform has transactional control over the vehicles, that is, private drivers respond to monetary incentives. The latter directly controls its fleet. This thesis develops a mathematical framework to analyze the aforementioned models through queuing theory. It characterizes viable control strategies for the platforms to co-optimize their revenues from both transportation and grid services. It develops profit maximization algorithms of the PEV fleet managers providing such services. Finally, variables of interest are plotted as a function of various platform parameters.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01","The student, Theodoros Mamalis, accepted the attached license on 2019-04-05 at 13:53.","The student, Theodoros Mamalis, submitted this Thesis for approval on 2019-04-05 at 14:09.","This Thesis was approved for publication on 2019-04-05 at 16:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13496 on 2019-08-22 at 15:05:24","Made available in DSpace on 2019-08-23T20:35:45Z (GMT). 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