Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas
This study focuses on a modeling framework to support mobility planners and energy providers in the sustainable development of electric mobility in urban areas. Specifically, models are provided to simulate measures for the optimal management of energy demand and thoughtful planning of charging infr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/13/3949 |
| _version_ | 1797528081453285376 |
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| author | Marialisa Nigro Marina Ferrara Rosita De Vincentis Carlo Liberto Gaetano Valenti |
| author_facet | Marialisa Nigro Marina Ferrara Rosita De Vincentis Carlo Liberto Gaetano Valenti |
| author_sort | Marialisa Nigro |
| collection | DOAJ |
| description | This study focuses on a modeling framework to support mobility planners and energy providers in the sustainable development of electric mobility in urban areas. Specifically, models are provided to simulate measures for the optimal management of energy demand and thoughtful planning of charging infrastructures in order to avoid congestion on the power grid. The measures, and consequently the models, are classified according to short-term initiatives based on multimodality between electric vehicles and public transport (Park and Ride), as well as medium to long-term initiatives based on the development of an energy-oriented land use of the city. All the models are data-driven, and different sets of floating car data available for the city of Rome (Italy) have been exploited for this aim. The models are currently being implemented in an agent-based simulator for electric urban mobility adopted by the National Agency for Energy and Environment in Italy (ENEA). |
| first_indexed | 2024-03-10T09:53:02Z |
| format | Article |
| id | doaj.art-9a4ab5bc035d4294b1dbd7eba4e6cb58 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T09:53:02Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9a4ab5bc035d4294b1dbd7eba4e6cb582023-11-22T02:37:43ZengMDPI AGEnergies1996-10732021-07-011413394910.3390/en14133949Data Driven Approaches for Sustainable Development of E-Mobility in Urban AreasMarialisa Nigro0Marina Ferrara1Rosita De Vincentis2Carlo Liberto3Gaetano Valenti4Department of Engineering, “Roma Tre” University, 00146 Rome, ItalyDepartment of Engineering, “Roma Tre” University, 00146 Rome, ItalyDepartment of Engineering, “Roma Tre” University, 00146 Rome, ItalyENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Laboratory of Systems and Technologies for Sustainable Mobility, 00196 Rome, ItalyENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Laboratory of Systems and Technologies for Sustainable Mobility, 00196 Rome, ItalyThis study focuses on a modeling framework to support mobility planners and energy providers in the sustainable development of electric mobility in urban areas. Specifically, models are provided to simulate measures for the optimal management of energy demand and thoughtful planning of charging infrastructures in order to avoid congestion on the power grid. The measures, and consequently the models, are classified according to short-term initiatives based on multimodality between electric vehicles and public transport (Park and Ride), as well as medium to long-term initiatives based on the development of an energy-oriented land use of the city. All the models are data-driven, and different sets of floating car data available for the city of Rome (Italy) have been exploited for this aim. The models are currently being implemented in an agent-based simulator for electric urban mobility adopted by the National Agency for Energy and Environment in Italy (ENEA).https://www.mdpi.com/1996-1073/14/13/3949electric mobilityelectric vehiclesdata-drivenfloating car datapower gridcharging load |
| spellingShingle | Marialisa Nigro Marina Ferrara Rosita De Vincentis Carlo Liberto Gaetano Valenti Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas Energies electric mobility electric vehicles data-driven floating car data power grid charging load |
| title | Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas |
| title_full | Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas |
| title_fullStr | Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas |
| title_full_unstemmed | Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas |
| title_short | Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas |
| title_sort | data driven approaches for sustainable development of e mobility in urban areas |
| topic | electric mobility electric vehicles data-driven floating car data power grid charging load |
| url | https://www.mdpi.com/1996-1073/14/13/3949 |
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