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
Valenti G.;Liberto C.;
2019-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
