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Pré-Publication, Document De Travail Année : 2024

eMob-Twin: A Digital Twin for Electromobility Flexibility Forecast ⋆

Résumé

As environmental concerns grow, Electric Vehicles (EVs) are becoming essential for sustainable urban traffic. Some countries plan to phase out conventional vehicles to cut carbon emissions. Yet, challenges include a lack of charging infrastructure and potential strain on power networks. EVs could benefit by integrating Vehicle-to-Grid connections. To leverage e-flexibility, modeling EV power requirements and mobility patterns is crucial. The paper presents eMob-Twin, a digital twin, combining urban EV mobility with an energy model, aiding simulations with fine granularity including charging stations, its potential connections with the Grid and electricity markets. We present details of the structure and operation of eMob-Twin and some examples of their utility in connection with user cases such as impact of the EVs penetration rate, and optimal locations of charge stations.
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hal-04482059 , version 1 (28-02-2024)

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  • HAL Id : hal-04482059 , version 1

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Carlos Canudas de Wit, Baptiste Lefeuvre. eMob-Twin: A Digital Twin for Electromobility Flexibility Forecast ⋆. 2024. ⟨hal-04482059⟩
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