Pan-European Modeling of Renewable Power in Current and Future Contexts

With the current goal of reducing greenhouse gas emissions by at least 80% of 1990 values before the year 2050, the European Union has set the bar for climate action plans and energy responsibility. Elementary to achieving this goal is the increased deployment of renewable energy systems (RES); in particular photovoltaics (PV), on-shore wind, off-shore wind, and concentrated solar power (CSP) systems. However, in order to incorporate these technologies effectively into future energy systems, detailed information is required concerning the state of their spatial distribution and dynamic performance. For this reason, this project seeks to utilize results from various climate model simulations, alongside previous works accomplished in our department, to model RES generation in future time frames and in any particular area of interest. The spatial context of this project will be the entire European Union.

Project Description:

Investigation and geo-referencing of existing RES systems across European regions
Data merging between various climate model simulation results
Full physical simulations of RES technologies
Determining optimal RES infrastructure over regions

Weitere Informationen

Unternehmen

Helmholtz Gemeinschaft

Bereich/Abteilung

Forschungszentrum Jülich Institute of Energy and Climate Research - Electrochemistry Process Engineering (IEK-3)

Abschlussart

Masterarbeit

Ansprechpartner/in

Severin Ryberg, M.Sc.
Forschungszentrum Jülich
Institute of Energy and Climate Research - Electrochemistry Process Engineering (IEK-3)

tel.: +49 2461 61 9155
e-mail: s.ryberg@fz-juelich.de
website: http://www.fz-juelich.de/iek/iek-3

Branche

Elektrotechnik

Anforderungen

Excellent academic marks in electrical engineering, mechanical engineering, energy engineering, physics, computer science, or related fields of study
Knowledge on the operation of various RES technologies
Excellent communication skills in English. German a plus
Additional skills:

Experience with geographic information system (GIS) applications
Programming skills; python preferred

Zusatzinformationen