The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM

2022 ◽  
Vol 16 (6) ◽  
pp. 1
Author(s):  
Sunghoon Lim ◽  
Seong Wook Hwang
2011 ◽  
Vol 44 (1) ◽  
pp. 13052-13057 ◽  
Author(s):  
Nikolce Murgovski ◽  
Lars Johannesson ◽  
Jonas Hellgren ◽  
Bo Egardt ◽  
Jonas Sjöberg

Author(s):  
Christina Iliopoulou ◽  
Ioannis Tassopoulos ◽  
Konstantinos Kepaptsoglou ◽  
Grigorios Beligiannis

Electric buses have long been recognized as a promising direction for offering sustainable public transportation services. While range and battery performance constraints have hindered the widespread adoption of electric buses in the past, technological advances make them a prominent and attractive option for public transportation in the future. Still, operational constraints and the need for additional (charging) infrastructure highlight the need for introducing appropriate decision-making tools, tailor-made for supporting the design of transit networks operated by electric buses. This paper focuses on developing and testing a comprehensive route design model for the case of a transit network, operated exclusively by an electric bus fleet (Electric Transit Route Network Design Problem—E-TRNDP). The model is formulated as a bi-level optimization problem, which attempts to jointly design efficient transit routes and locate required charging infrastructure. A multi-objective, particle swarm optimization algorithm, coupled with a mixed linear—integer programming model is used to solve the model. An existing benchmark network is used as a test-bed for the proposed model and solution process; results illustrate that the proposed model and solution method yield realistic design outcomes in an acceptable time frame.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3362
Author(s):  
Alberto Danese ◽  
Michele Garau ◽  
Andreas Sumper ◽  
Bendik Nybakk Torsæter

Full electrification of the transport sector is a necessity to combat climate change and a pressing societal issue: climate agreements require a fuel shift of all the modes of transport, but while uptake of passenger electric vehicles is increasing, long haul trucks rely almost completely on fossil fuels. Providing highways with proper charging infrastructure for future electric mobility demand is a problem that is not fully investigated in literature: in fact, previous work has not addressed grid planning and infrastructure design for both passenger vehicles and trucks on highways. In this work, the authors develop a methodology to design the electrical infrastructure that supplies static and dynamic charging for both modes of transport. An algorithm is developed that selects substations for the partial electrification of a highway and, finally, the design of the electrical infrastructure to be implemented is produced and described, assessing conductors and substations sizing, in order to respect voltage regulations. The system topology of a real highway (E18 in Norway) and its traffic demand is analyzed, together with medium-voltage substations present in the area.


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