In this paper we describe a simulation tool developed to study city wide scenarios of e-mobility. The tool is intended to support e-mobility stakeholders in finding effective solutions to facilitate a widespread and sustainable EV adoption in urban areas. The tool includes a suite of integrated models designed to reproduce e-mobility pattern, charging behaviour and resulting impact on electricity demand at a high spatiotemporal resolution. The suite also includes models to evaluate multimodal mobility approaches and smart charging strategies including the use of renewable energy. The simulation tool has been tested in the metropolitan area of Rome (IT). We have used large scale collections of vehicle trajectory data to calibrate and validate the suite of models.
A simulation tool for energy management of e-mobility in urban areas / Ferrara, M.; Monechi, B.; Valenti, G.; Liberto, C.; Nigro, M.; Biazzo, I.. - ELETTRONICO. - (2019), pp. 1-7. ((Intervento presentato al convegno 6th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2019 tenutosi a Cracow University of Technology, pol nel 2019 [10.1109/MTITS.2019.8883386].
Titolo: | A simulation tool for energy management of e-mobility in urban areas | |
Autori: | ||
Data di pubblicazione: | 2019 | |
Abstract: | In this paper we describe a simulation tool developed to study city wide scenarios of e-mobility.... The tool is intended to support e-mobility stakeholders in finding effective solutions to facilitate a widespread and sustainable EV adoption in urban areas. The tool includes a suite of integrated models designed to reproduce e-mobility pattern, charging behaviour and resulting impact on electricity demand at a high spatiotemporal resolution. The suite also includes models to evaluate multimodal mobility approaches and smart charging strategies including the use of renewable energy. The simulation tool has been tested in the metropolitan area of Rome (IT). We have used large scale collections of vehicle trajectory data to calibrate and validate the suite of models. | |
ISBN: | 978-1-5386-9484-8 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2789654