A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study
The development and the diffusion of the electromobility is crucial for reducing air pollution and increase sustainable transport. In particular, electrification of private mobility has a significantly role in the energy transition within urban areas, since the progressive substitution of convention...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/20/6697 |
| _version_ | 1797514728500625408 |
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| author | Paolo Lazzeroni Brunella Caroleo Maurizio Arnone Cristiana Botta |
| author_facet | Paolo Lazzeroni Brunella Caroleo Maurizio Arnone Cristiana Botta |
| author_sort | Paolo Lazzeroni |
| collection | DOAJ |
| description | The development and the diffusion of the electromobility is crucial for reducing air pollution and increase sustainable transport. In particular, electrification of private mobility has a significantly role in the energy transition within urban areas, since the progressive substitution of conventional passenger cars by electric vehicles (EVs) leads to the decarbonisation of transport sector without direct emissions. However, increasing EV penetration in the market forces an expansion of the existing charging infrastructure with potential negative impacts on the distribution grid. In this context, a simplified approach is proposed to estimate the energy and power demand owing to the recharge of electric passenger cars within the city of Turin in Italy. This novel approach is based on the usage of floating car data (FCD) to identify the travel behaviour and parking habits of a non-EV passenger car in the city. Mobility data were then used to evaluate EVs energy consumption and charging needs considering different charging options (public or domestic) and range anxiety in different scenarios of EV diffusion. Aggregated load profiles and demand were finally evaluated both for the whole and for each zone of the city as possible resource for city planner or distribution system operators (DSO). |
| first_indexed | 2024-03-10T06:35:48Z |
| format | Article |
| id | doaj.art-92c66307152649fdbed1a004e8fdc53e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T06:35:48Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-92c66307152649fdbed1a004e8fdc53e2023-11-22T18:07:20ZengMDPI AGEnergies1996-10732021-10-011420669710.3390/en14206697A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case StudyPaolo Lazzeroni0Brunella Caroleo1Maurizio Arnone2Cristiana Botta3Fondazione LINKS, Via Pier Carlo Boggio, 61, 10138 Torino, ItalyFondazione LINKS, Via Pier Carlo Boggio, 61, 10138 Torino, ItalyFondazione LINKS, Via Pier Carlo Boggio, 61, 10138 Torino, ItalyFondazione LINKS, Via Pier Carlo Boggio, 61, 10138 Torino, ItalyThe development and the diffusion of the electromobility is crucial for reducing air pollution and increase sustainable transport. In particular, electrification of private mobility has a significantly role in the energy transition within urban areas, since the progressive substitution of conventional passenger cars by electric vehicles (EVs) leads to the decarbonisation of transport sector without direct emissions. However, increasing EV penetration in the market forces an expansion of the existing charging infrastructure with potential negative impacts on the distribution grid. In this context, a simplified approach is proposed to estimate the energy and power demand owing to the recharge of electric passenger cars within the city of Turin in Italy. This novel approach is based on the usage of floating car data (FCD) to identify the travel behaviour and parking habits of a non-EV passenger car in the city. Mobility data were then used to evaluate EVs energy consumption and charging needs considering different charging options (public or domestic) and range anxiety in different scenarios of EV diffusion. Aggregated load profiles and demand were finally evaluated both for the whole and for each zone of the city as possible resource for city planner or distribution system operators (DSO).https://www.mdpi.com/1996-1073/14/20/6697EVfloating car dataestimation of electricity charging demandload profilesestimation of EV diffusion |
| spellingShingle | Paolo Lazzeroni Brunella Caroleo Maurizio Arnone Cristiana Botta A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study Energies EV floating car data estimation of electricity charging demand load profiles estimation of EV diffusion |
| title | A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study |
| title_full | A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study |
| title_fullStr | A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study |
| title_full_unstemmed | A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study |
| title_short | A Simplified Approach to Estimate EV Charging Demand in Urban Area: An Italian Case Study |
| title_sort | simplified approach to estimate ev charging demand in urban area an italian case study |
| topic | EV floating car data estimation of electricity charging demand load profiles estimation of EV diffusion |
| url | https://www.mdpi.com/1996-1073/14/20/6697 |
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