Postdoctoral position in “Energy and Power Peak Control, enabled by Automatic Train Operation”
Despite the excellent quality of railway systems in Switzerland, railway systems needs to increase their performances, to match the ambitious targets from policy and environmental goals. Punctuality, travel time, and energy efficiency should be kept at the same level, or even increased, to remain attractive, under increasing constraints. Pervasive automation, under the ideas of Automated Train Operations, has the potential to reach those goals
This project, funded by the Swiss national research fund, is to use pervasive sensing and controlling train trajectories as an enabler of more efficient power distribution at the level of networks, by reducing peaks. Currently, power peak computations are usually done together with (static) timetable planning; no stochastic conditions of delay or deviation from planned conditions is considered. On the vehicle side (traction equipment) special functions are implemented to help stabilize the electrical infrastructure regarding peak power. However, these functions have a negative influence on the tractive effort, and hence on the quality of the speed profile to be tracked by the ATO.
We aim to establish a computational framework able to assess the potential of ATO in realistic conditions, within the aim of energy and power peaks. This includes modelling, simulating and/or optimizing the following layers:
1. Traffic Management System (TMS) for monitoring and scheduling of train operations
2. The ATO Wayside which provides data interface to the train
3. The ATO on-board which interprets data from the wayside and operates the train accordingly
4. The traction equipment which provides tractive / braking force as determined by the ATO-on-board
5. The train protection system
All these components are running in a computationally efficient co-simulation environment coupled according to suitable interfaces, able to deal with high density railway networks operated using ATO.
The ultimate goal is to quantify the performance of the emergent behaviour of the two networks, i.e. transport (train movements) and power distribution (electricity peaks), based on the interaction of the decentralized control units onboard the vehicles. Within this framework, we investigate scenarios for peak power shaving, and identify systematic design procedures to ensure a system-wide optimum. A part of the results is envisaged to be implemented in pilot operations with industrial partners.
You ideally have a Doctoral Degree in transport sciences, management/ decision sciences, econometrics, statistics, computer science, energy modelling, or related fields. Your research track is consistent and shows a track record, or clear potential, for application of modelling simulation and control of energy in transport systems.
You are highly motivated, self-driven, with a clear research vision and academic ambition, you have excellent communication and writing skills (fluent spoken and written English is mandatory). Moreover, the following skills are expected of a promising candidate:
- Ability to program independently complex software
- Ability to model and consider complex systems described by modular approach; to critically review the gaps between industrial needs and academic potential
- Basic knowledge of mathematical optimization (MILP, IP, LP), and/or control sciences, in particular control techniques based on Model Predictive Control
- Basic understanding of railway vehicle control
- Team working and communication skills, also in German. Knowledge of German or similar languages is a plus; willingness to learn basic German within a short time horizon
- Know how of industrial process and ability/experience to collaborate with industrial partners
We look forward to receiving your online application. The selection will be based on a multi-step application process. Firstly, applications (motivation letter describing how the past experience and motivation fits the profile sketched in this call, plus CV with list of publications, diploma and phd copies, and 2 reference letters) will have to be submitted. After a first selection, potential candidates will be contacted for a final selection, which will be based on the candidates’ qualifications as well as on a personal interview with the supervisors.
Please apply at https://apply.refline.ch/655298/2761/pub/1/index.html. Applications via email or postal services will not be considered.For further information about the institute and the group please visit our website www.ivt.ethz.ch and www.fhnw.ch/en/about-fhnw/schools/school-of-engineering/institutes/institute-of-electric-power-systems. Questions regarding the position should be directed to Prof. Dr. Francesco Corman by email firstname.lastname@example.org (no applications).