TY - JOUR
T1 - Assessment of future EV charging infrastructure scenarios for long-distance transport in Sweden
AU - Marquez-Fernandez, Francisco J.
AU - Bischoff, Joschka
AU - Domingues-Olavarria, Gabriel
AU - Alakula, Mats
PY - 2022
Y1 - 2022
N2 - Over the last two decades, electrification has gained importance as a means to decarbonise the transport sector. As the number of Electric Vehicles (EVs) increases, it is important to consider broader system aspects as well, especially when deciding the type, coverage, size and location of the charging infrastructure required. This article proposes a new approach using agent-based simulations to assess the impact that different system parameters have on the total energy consumption, the charging infrastructure needs or the overall system cost for all electromobility related technologies. To demonstrate the capabilities of this approach, five potential future scenarios for charging infrastructure deployment are analyzed, assuming that all long-distance transport in Sweden is electrified. For each of the scenarios the total energy consumed and the charging infrastructure needs are assessed. Finally, the cost associated with the electromobility related technology in each scenario is estimated. The results show that the lowest system cost corresponds to a scenario with Electric Road Systems (ERS) widely available to all vehicle types, mostly due to the potential reduction of their battery pack. However, such scenario may incur in a higher overall energy consumption, if the drivers decide to alter their routes to use the ERS, thus avoiding stopping for charging.
AB - Over the last two decades, electrification has gained importance as a means to decarbonise the transport sector. As the number of Electric Vehicles (EVs) increases, it is important to consider broader system aspects as well, especially when deciding the type, coverage, size and location of the charging infrastructure required. This article proposes a new approach using agent-based simulations to assess the impact that different system parameters have on the total energy consumption, the charging infrastructure needs or the overall system cost for all electromobility related technologies. To demonstrate the capabilities of this approach, five potential future scenarios for charging infrastructure deployment are analyzed, assuming that all long-distance transport in Sweden is electrified. For each of the scenarios the total energy consumed and the charging infrastructure needs are assessed. Finally, the cost associated with the electromobility related technology in each scenario is estimated. The results show that the lowest system cost corresponds to a scenario with Electric Road Systems (ERS) widely available to all vehicle types, mostly due to the potential reduction of their battery pack. However, such scenario may incur in a higher overall energy consumption, if the drivers decide to alter their routes to use the ERS, thus avoiding stopping for charging.
KW - Batteries
KW - charging infrastructure
KW - Charging stations
KW - cost analysis
KW - dynamic charging
KW - Electric potential
KW - Electric Road Systems
KW - Electric vehicles
KW - Energy consumption
KW - Erbium
KW - Roads
KW - Vehicle dynamics
U2 - 10.1109/TTE.2021.3065144
DO - 10.1109/TTE.2021.3065144
M3 - Article
AN - SCOPUS:85102633064
SN - 2332-7782
VL - 8
SP - 615
EP - 626
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 1
ER -