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

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 o...

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Bibliographic Details
Main Authors: Ravanbach, Babak, Turhan, Elif, Wulff, Niklas, Orfanoudakis, Stavros, Vergara, Pedro P., Vahidinasab, Vahid, Dias, Luiz, Mendes, Goncalo
Format: Conference Proceeding
Language:English
Subjects:
Charging stations
Electromobility
Energy Management
Opensource
Planning
Prediction Tool
Real-time systems
Regulation
Technological innovation
Urban areas
Vehicle-to-grid
Online Access:Request full text
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Summary: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.
ISSN:2158-8481
DOI:10.1109/MELECON56669.2024.10608538