Application of Rechargeable Batteries of Electrical Vehicles as Time Dependent Storage Resource for the Public Electricity Grid

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dc.identifier.uri http://dx.doi.org/10.15488/5166
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/5213
dc.contributor.author Arafat, Zivar
dc.contributor.author Fehling, Tristan
dc.contributor.author Kleiss, Gerhard
dc.contributor.author Nacke, Bernard
dc.date.accessioned 2019-08-15T07:18:14Z
dc.date.available 2019-08-15T07:18:14Z
dc.date.issued 2018
dc.identifier.citation Arafat, Zivar; Fehling, Tristan; Kleiss, Gerhard; Nacke, Bernard: Application of Rechargeable Batteries of Electrical Vehicles as Time Dependent Storage Resource for the Public Electricity Grid. In: Energy Procedia 155 (2018), S. 478-491. DOI: https://doi.org/10.1016/j.egypro.2018.11.032
dc.description.abstract This study investigates the potential to use the EES storages of a fleet of privately owned Electrical Vehicles (EV) as time dependent storage source connected to the electrical grid. The example of the national German electricity grid is examined. Calculations are done as time series on a complete yearly set of quarter-hour data for generation and consumption, as obtained from the national regulatory authority (“Bundesnetzagentur”). Future scenarios foresee targets that have been publicly stated by the German government, e.g. the projected discontinuation of electricity generation by nuclear power, the envisaged shares of renewables within the electricity mix per 2030 or 2050, and a projected evolution of the number of EV. Besides, the technical evolution like introduction of new types of EES like the Li-Air-storage promising higher storage capacity in the future is expected. The model assumes that private users of EV will provide the storage capacity within their EV to the public grid following a certain time pattern. A minimum reserve for the user is always granted and moreover it is assumed that the electrical system operator will make compensation payments to the user of the EV. In a scenario beyond 2030 where 6 Mio EV are projected, the number of EV is assumed to be 20 Mio EV in 2050. This results in a considerably large distributed storage to help dealing with a future more and more volatile electricity provision by more and more renewable energy sources, especially wind and PV. According to our preliminary results, an optimum for this model can be obtained at moderate power levels for charge and discharge, avoiding the necessity for a comparable high invest of “fast charging” stations. eng
dc.language.iso eng
dc.publisher Amsterdam : Elsevier B.V.
dc.relation.ispartofseries Energy Procedia 155 (2018)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Engineering eng
dc.subject Environmental economics eng
dc.subject Grid eng
dc.subject Renewable energy eng
dc.subject Electricity
dc.subject Electronic engineering eng
dc.subject Distributed data store eng
dc.subject Electrical grid eng
dc.subject Electricity generation eng
dc.subject Nuclear power eng
dc.subject Electric power system eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title Application of Rechargeable Batteries of Electrical Vehicles as Time Dependent Storage Resource for the Public Electricity Grid eng
dc.type Article
dc.type Text
dc.relation.issn 1876-6102
dc.relation.doi https://doi.org/10.1016/j.egypro.2018.11.032
dc.bibliographicCitation.volume 155
dc.bibliographicCitation.firstPage 478
dc.bibliographicCitation.lastPage 491
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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