Charging Profile Modeling of Electric Trucks at Logistics Centers
The future charging requirements of electric trucks will lead to new demands on the power grid. In order not to slow the expansion of the charging infrastructure for electric trucks, the power grid must be strengthened for this purpose. However, due to the limited penetration of electric trucks in f...
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MDPI AG
2024-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/22/5613 |
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| author | Kathrin Walz Krzysztof Rudion |
| author_facet | Kathrin Walz Krzysztof Rudion |
| author_sort | Kathrin Walz |
| collection | DOAJ |
| description | The future charging requirements of electric trucks will lead to new demands on the power grid. In order not to slow the expansion of the charging infrastructure for electric trucks, the power grid must be strengthened for this purpose. However, due to the limited penetration of electric trucks in fleets to date, grid planners lack information on their time- and location-dependent charging demand. The question arises as to how the charging demand of electric trucks can be realistically taken into account in power grid simulations. This paper therefore presents a methodology that makes it possible to quantify the charging demand of electric trucks at typical charging locations and derives initial parameters for power system planning with electric trucks. For location-based charging demand modeling, the arrival and departure behavior of trucks at representative logistics centers is combined with mobility data and vehicle parameters. This allows the determination of time series-based charging demand. A charging demand analysis at five different logistics center types shows that that energy demand, peak load, and temporal behavior vary greatly depending on the center type. It is therefore advisable to take these different charging location types into account when designing the electricity grids. |
| format | Article |
| id | doaj-art-60957110c0714c6d9960b4aa7b543e7f |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-60957110c0714c6d9960b4aa7b543e7f2024-11-26T18:02:03ZengMDPI AGEnergies1996-10732024-11-011722561310.3390/en17225613Charging Profile Modeling of Electric Trucks at Logistics CentersKathrin Walz0Krzysztof Rudion1Institute of Power Transmission and High Voltage Technology (IEH), University of Stuttgart, 70569 Stuttgart, GermanyInstitute of Power Transmission and High Voltage Technology (IEH), University of Stuttgart, 70569 Stuttgart, GermanyThe future charging requirements of electric trucks will lead to new demands on the power grid. In order not to slow the expansion of the charging infrastructure for electric trucks, the power grid must be strengthened for this purpose. However, due to the limited penetration of electric trucks in fleets to date, grid planners lack information on their time- and location-dependent charging demand. The question arises as to how the charging demand of electric trucks can be realistically taken into account in power grid simulations. This paper therefore presents a methodology that makes it possible to quantify the charging demand of electric trucks at typical charging locations and derives initial parameters for power system planning with electric trucks. For location-based charging demand modeling, the arrival and departure behavior of trucks at representative logistics centers is combined with mobility data and vehicle parameters. This allows the determination of time series-based charging demand. A charging demand analysis at five different logistics center types shows that that energy demand, peak load, and temporal behavior vary greatly depending on the center type. It is therefore advisable to take these different charging location types into account when designing the electricity grids.https://www.mdpi.com/1996-1073/17/22/5613charging demandelectric trucke-truckgrid planningheavy dutyload profile modeling |
| spellingShingle | Kathrin Walz Krzysztof Rudion Charging Profile Modeling of Electric Trucks at Logistics Centers Energies charging demand electric truck e-truck grid planning heavy duty load profile modeling |
| title | Charging Profile Modeling of Electric Trucks at Logistics Centers |
| title_full | Charging Profile Modeling of Electric Trucks at Logistics Centers |
| title_fullStr | Charging Profile Modeling of Electric Trucks at Logistics Centers |
| title_full_unstemmed | Charging Profile Modeling of Electric Trucks at Logistics Centers |
| title_short | Charging Profile Modeling of Electric Trucks at Logistics Centers |
| title_sort | charging profile modeling of electric trucks at logistics centers |
| topic | charging demand electric truck e-truck grid planning heavy duty load profile modeling |
| url | https://www.mdpi.com/1996-1073/17/22/5613 |
| work_keys_str_mv | AT kathrinwalz chargingprofilemodelingofelectrictrucksatlogisticscenters AT krzysztofrudion chargingprofilemodelingofelectrictrucksatlogisticscenters |