Master’s Thesis
Starting date: as soon as possible - Duration: 6 months - Type of employment: full time
Energy demand and flexibility potential of electric vehicle fleets
with different drivetrains and energy carriers
Your mission:
The Institute for Networked Energy Systems employs around 170 people at its sites in Oldenburg and Stuttgart. With
its departments of Urban and Residential Technologies, Energy Systems Technology and Energy Systems Analysis, it is
dedicated to system-technical and system-analytical issues concerning the intelligent and efficient coupling of the
electricity, heat, industry and transport sectors.
The Energy Systems Analysis department pursues the goal of enabling the optimal design of energy systems with high
shares of renewable energies by providing detailed orientation knowledge. The Energy Systems Modelling group is
dedicated to the analysis of energy systems transformation pathways in high spatial and temporal resolution, the
further methodological development of energy systems models and the identification and open provision of data for
these models. Within this framework, we are continuously developing the open-source tool VencoPy that estimates
demand profiles and flexibility potential for future electric vehicle fleets in an aggregated manner. The tool currently
only models a purely electric drivetrain and, within the scope of this master thesis, it is to be extended for different
drivetrain types and energy carriers (plug-in hybrid vehicles, fuel-cell vehicles).
With your work you will help raise the quality and informative value of VencoPy to estimate electric vehicles demand and
flexibility potential. Specifically, the work entails the following tasks:
•
extension of the scope of the tool and development of a methodology to include other drivetrains (plug-in
hybrid electric vehicles, fuel-cell electric vehicles)
•
improvement of the consumption model and inclusion of sampling-based methods to model fleets with
heterogenous drivetrains
•
validation of the developed modelling extension
•
documentation of all input data and results according to FAIR principles
•
presentation of (interim) results on a regular basis
•
analysis and discussion of results regarding the modelling of heterogenous vehicles fleets
Your qualifications:
•
currently registered student in the field of engineering or a comparable discipline with preferable relation to
energy technologies
•
experience in data preparation and handling using Python
•
basic knowledge of energy systems analysis is an advantage
•
high degree of initiative and pronounced willingness to work in a team
•
analytical way of thinking and high motivation to develop your own ideas
•
enthusiasm to contribute to a successful energy system transformation
•
very good English skills, both in written and spoken language
Your benefits:
Looking forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and
professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope
to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on
a healthy family and work-life-balance as well as equal opportunities for people of all genders (f/m/x). Individuals with
disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
Questions related to the position are welcome to Fabia Miorelli, email fabia.miorelli@dlr.de or phone +49 (0)711 6862 8456.