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A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning

Ravanbach, Babak and Turhan, Elif and Wulff, Niklas and Orfanoudakis, Stavros and Vergara, Pedro P. and Vahidinasab, Vahid and Dias, Luiz and Mendes, Goncalo (2024) A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning. IEEE Xplore Digital Library. IEEE MELECON 2024, 2024-06-25 - 2024-06-27, Porto, Portugal. doi: 10.1109/MELECON53508.2024.

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Official URL: https://ieeexplore.ieee.org/xpl/conhome/1000259/all-proceedings

Abstract

Under new EU regulation, as of 2035 all new cars and vans registered in the EU are set to be zero-emission. This ambitious target will be an important driver for a large-scale rollout of e-mobility across European cities. To ensure the successful planning of the energy infrastructure and optimized operation of the expanding e-mobility systems, smart and robust tools will be in high demand for various stakeholders, such as industry, city planners, or researchers. As part of the EU-funded research and innovation project DriVe2X, an interactive open-source prediction tool for Vehicle-to-Grid (V2G) operation and planning has been conceptualized and is under development. The main functions of this tool are the prediction of energy balance and flexibility at the public charging station level for a day-ahead operation and providing useful customized analytics for long-term planning purposes.

Item URL in elib:https://elib.dlr.de/204107/
Document Type:Conference or Workshop Item (Poster)
Title:A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ravanbach, BabakUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Turhan, ElifUNSPECIFIEDhttps://orcid.org/0000-0001-9903-7628UNSPECIFIED
Wulff, NiklasUNSPECIFIEDhttps://orcid.org/0000-0002-4659-6984UNSPECIFIED
Orfanoudakis, StavrosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vergara, Pedro P.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vahidinasab, VahidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dias, LuizUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mendes, GoncaloUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2024
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/MELECON53508.2024
Publisher:IEEE Xplore Digital Library
Series Name:Mediterranean Electrotechnical Conference (MELECON)
Status:Accepted
Keywords:Electromobility, Energy Management, Open-source, Prediction Tool, Vehicle-to-grid
Event Title:IEEE MELECON 2024
Event Location:Porto, Portugal
Event Type:international Conference
Event Start Date:25 June 2024
Event End Date:27 June 2024
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology, E - Systems Analysis and Technology Assessment
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy System Technology
Institute of Networked Energy Systems > Energy Systems Analysis, ST
Deposited By: Ravanbach, Babak
Deposited On:06 May 2024 14:14
Last Modified:06 May 2024 14:14

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