Institute for Automation and Applied Informatics (IAI)
Area of research:
Are you concerned about the impacts of global warming? Do you want to put your strong analytic skills in the service of the energy transition?
In this project you will help to understand the most cost-effective pathways to reduce greenhouse gas emissions in the energy system. You will work on energy system models that seek to maintain sufficient model detail and interdependencies, while not losing sight of the broader characteristics that determine efficient invesment strategies in low-emission systems. You will develop new methods and algorithms to tackle the extreme the extreme computational complexity of optimising models that combine the international scope of European energy markets, the local detail of network bottlenecks and the couplings between multiple energy sectors. In particular, you will investigate the role of spatial granularity in energy system optimisations, and how greater spatial resolution affects the assessment of renewable resources and the way transmission grids are represented.
The existing modelling tool Python for Power System Analysis (PyPSA) will be further developed to support the modelling aims of the project. To ensure full transparency, all software, data and publications generated in the project will be made publicly available under open licences.
Further information about the group and our projects can be found here:
Please apply with a letter of motivation, a CV and the contact detailsof two referees using the application form linked below.Contract duration
limited to 3 yearsApplication up to
31.01.2019Contact person in line-management
For further information, please contact Dr. Tom Brown, email@example.com, phone 0721 608-25737.