{"data":{"id":"10.4121/899ebe3b-abc2-45b2-9d0e-acfd6a82a5b4","type":"dois","attributes":{"doi":"10.4121/899ebe3b-abc2-45b2-9d0e-acfd6a82a5b4","prefix":"10.4121","suffix":"899ebe3b-abc2-45b2-9d0e-acfd6a82a5b4","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Alvaro Menendez Agudin","nameType":"Personal","givenName":"Alvaro","familyName":"Menendez Agudin","nameIdentifiers":[{"nameIdentifier":"0000-0001-6880-3449","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Cas  Oudijk","givenName":"Cas","familyName":"Oudijk","affiliation":[],"nameIdentifiers":[]},{"name":"Gautham Ram Chandra Mouli","nameType":"Personal","givenName":"Gautham Ram","familyName":"Chandra Mouli","nameIdentifiers":[{"nameIdentifier":"0000-0003-1997-4959","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Pavol Bauer","nameType":"Personal","givenName":"Pavol","familyName":"Bauer","nameIdentifiers":[{"nameIdentifier":"0000-0002-1171-9972","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data, code and results behind the journal article: \"Integrating Vehicle to Grid into Shared Electric Vehicle Relocation under Locational Congestion Prices\" (under review). Alvaro Menendez Agudin, Cas Oudijk, Pavol Bauer, Gautham Ram Chandra Mouli"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Electrical and Electronic Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0906"},{"subject":"Energy Storage, Distribution and Supply","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8506"},{"subject":"Energy Transformation","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8504"},{"subject":"Renewable Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"8505"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Energy","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"85"},{"subject":"Electric Vehicle (EV)"},{"subject":"Vehicle-to-grid (V2G)"},{"subject":"Energy storage"},{"subject":"Renewable energy"},{"subject":"Energy transfer"}],"contributors":[{"name":"TU Delft, EEMCS, EWI, DCE\u0026S","nameType":"Organizational","contributorType":"Other","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2026-10-23","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.2139/ssrn.6990638","relatedIdentifierType":"DOI"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/899ebe3b-abc2-45b2-9d0e-acfd6a82a5b4.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["Data: CSV (.csv) for station data, trip demand and scenario results; Microsoft Excel (.xlsx; e.g. the congestion-price calculation). Code: Python scripts (.py) and Jupyter notebooks (.ipynb). Documentation: Markdown (.md), plain text (.txt, licence) and PDF (.pdf)."],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset supports a simulation-based optimisation study on how V2G and location- and time-dependent congestion prices can be integrated into the operation of a one-way, station-based shared EV fleet. A mixed-integer linear programme jointly schedules vehicle relocation, charging and V2G over one day (48 steps of 30 minutes) for a fleet of 50 EVs serving 271 trips of 75 users across 10 stations (residential, workplace and city-centre). Five strategies (private EVs, shared EVs, V2G, congestion-price V2G and peak minimisation) are compared for a summer and a winter day. 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