Contatto di riferimento: Alberto Santini
Il seminario sarà anche trasmesso in streaming al seguente indirizzo:
https://webconference.unibo.it/or-seminar
About the speaker
Dr. Georg Brandstätter, University of Vienna
2008 - 2011: Bachelor's program "Software & Information Engineering" at the Vienna University of Technology
2010 - 2014: Undergraduate teaching assistant at the Vienna University of Technology
2011 - 2015: Master's program "Software Engineering & Internet Computing" at the Vienna University of Technology
since 2014: Predoc at the University of Vienna, Department of Statistics and Operations Research
since 2015: PhD program "Abraham Wald PhD program in Statistics and Operations Research" at the University of Vienna
Abstract
Recent technological advancements have made electric vehicles a more reasonable choice in many applications where conventionally powered vehicles have been used previously. One such application is urban car sharing, where customers rent cars for short periods of time to move around within a city.
However, the range of most electric cars is still fairly limited, and recharging them takes longer than refueling cars with an internal combustion engine. Therefore, a network of charging stations must be built within system's operational area, where the cars can be recharged between trips. Since building these stations is very costly, their locations must be chosen carefully to optimize the system's operational efficiency.
We present several integer linear programming formulations for solving the problem of optimally placing charging stations within the network's operational area, as well as finding their optimal size. Given a limited budget, our objective is to maximize the profit gained from the estimated customer demand that can be satisfied by the constructed stations. To improve flexibility, customers can pick up a car at any sufficiently close station, as well as return it to any station near their destination (subject to the availability of a car and free charging slot, respectively).