Gil Georges
ETH Zurich
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Gil Georges.
IEEE Transactions on Smart Grid | 2012
Matthias D. Galus; Rashid A. Waraich; Fabrizio Noembrini; Karel Steurs; Gil Georges; Konstantinos Boulouchos; Kay W. Axhausen; Göran Andersson
Electric mobility is considered as a promising option for future individual transportation in terms of lower CO2-emissions and reduced dependence on fossil fuels. In order to analyze its impacts effectively, an agent based model is proposed. It integrates three domains which are mainly affected by electric mobility. Vehicle fleet evolution and vehicle energy demand simulations are combined with a transportation simulation, thus determining the daily behavior of electric vehicles and providing individual battery energy levels at the different locations of the vehicles during the day. Further, a power system model combined with a charging control algorithm is included in order to study general effects in electricity networks and to provide insights into new electric vehicle load patterns, as well as into changes in transport behavior. It is shown that network congestion can be mitigated using control signals. The paper describes the method and the integration of the three different domains and shows results of the integrated analysis tool.
Iet Renewable Power Generation | 2017
Emir Cabukoglu; Gil Georges; Lukas Küng; Konstantinos Boulouchos
We present a method to simulate the charging (and battery swapping) energy demand of electrified trucks, and apply it to the example of Switzerland. We describe the daily mobility behavior of the Swiss fleet throughout a year, using governmental data sources. Based on this, we calculate the energy demand of each vehicle using vehicle and powertrain simulation. This then flows into a discrete event simulation, which we use to derive time-resolved charging power and battery swapping profiles. From that, we draw conclusions about the number of required swapping stations (respectively the average waiting time if there are not enough stations) and electrical loads they have to bear. We saw that, with better batteries and a maximum of three battery swaps per day, over 95% of heavy-duty vehicles can be electrified. This does not mean that every vehicle swaps its battery three times per day, and therefore the amount of extra batteries needed is not large. Nevertheless, to minimize the time loss for swapping, an adequate number and vehicle throughput of swapping stations should be guaranteed. For instance, to keep the waiting time under half an hour a day (duration of lunch break), a minimum of two swapping stations per large motorway fuel station and a throughput of at least eighteen vehicles per hour (per station) would be needed in Switzerland.
Energy | 2017
Philipp Vögelin; Ben Koch; Gil Georges; Konstatinos Boulouchos
Energy | 2017
Philipp Vögelin; Gil Georges; Konstatinos Boulouchos
Transportation Research Part C-emerging Technologies | 2018
Emir Cabukoglu; Gil Georges; Lukas Küng; Giacomo Pareschi; Konstantinos Boulouchos
Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications: Volume 3 | 2015
Rashid A. Waraich; Gil Georges; Matthias D. Galus; Kay W. Axhausen
Procedia - Social and Behavioral Sciences | 2012
Gil Georges; Fabrizio Noembrini; Konstantinos Boulouchos
Archive | 2012
Matthias D. Galus; Gil Georges; Rashid A. Waraich
Transportation Research Part C-emerging Technologies | 2018
Lukas Küng; Thomas Bütler; Gil Georges; Konstantinos Boulouchos
Energy | 2018
Philipp Vögelin; Ben Koch; Gil Georges; Konstatinos Boulouchos