Modern Computational Science

6th International Summer School on


- Energy of the Future -

September 03 - September 14, 2018, Oldenburg, Germany

Funded by the German Academic Exchange Service (DAAD)


Prof. Dr. Alexander K. Hartmann,
Dr. Stefan Harfst,
University of Oldenburg


Download Poster and Flyer

Poster MCS 2018
[372 KB]
              Flyer MCS 2018
[258 KB]



Due to the finiteness of fossil energy sources and the ongoing climate change many countries begin to cover their energy needs with renewable energies. The production of solar and wind energy is increasing world wide and can even be cheaper than classical energy production, in particular if taking into account secondary costs.

Switching to the use of regenerative energies still requires many advances in technical areas. This includes improving the efficiency of power generation, e.g. for solar cells or wind turbines, and of energy storage. On larger scales, the layout and positioning of wind farms and the capacity and stability of power networks have to be optimized. In the field of energy production control, the analysis and forecasting of the weather also plays a big role, e.g. for the situational activation of conventional backup power plants.

In all these applied areas computer simulations and the analysis of large amounts of data play a prominent role and require the use of computers. The aim of summer school Modern Computational Science: Energy of the Future is therefore the professional training of the participants in the highly topical research field of "Renewable Energies". During the summer school, the essential numerical approaches in this area will be taught in theory and practised in extensive exercise sessions. Topic from all areas will be included, starting with stochastic algorithms and the fundamentals of partial differential equations up to the modeling of networks and fluid dynamically simulations. This very fundamental approach, which places a strong focus on the teaching of (advanced) basic knowledge and practical computer experience is a special characteristics of the MCS Summer Schools.


During the MCS Summer School participants will review and deepen their understanding of basic theory and methods of Computational Science. In addition, specialized topics in different areas of the research field "Energy of the Future" will be covered. Subjects of the Summer School include (but are not limited to):

  • Fundamentals: high-performance computing, data analysis, Monte-Carlo simulations, differential equations, networks
  • Energy Simulations: computational fluid dynamics, energy networks, collective dynamcis of power grids, analysis of wind data, short-term weather prediction


  • Prof. Dr. Carsten Agert, DLR Institute of Networked Energy Systems, Oldenburg, Germany
  • Dr. Katja Biswas, Department of Physics and Astronomy, Texas A&M University, United States
  • Dr. Lüder von Bremen, Institute of Networked Energy Systems, DLR and ForWind, University Oldenburg, Germany
  • Prof. Dr. Alexey Chernov, Institute of Mathematics, University Oldenburg, Germany
  • Dr. Stefan Harfst, Scientific Computing, University Oldenburg, Germany
  • Prof. Dr. Alexander K. Hartmann, Institute of Physics, University Oldenburg, Germany
  • Prof. Dr. Sebastian Lehnhoff, Department of Computing Science, University Oldenburg, Germany
  • Dr. Oliver Melchert,  Hannover Centre for Optical Technologies, University Hannover, Germany
  • Dr. Bernhard Stoevesandt, ForWind, University Oldenburg, Germany
  • Prof. Dr. Marc Timme,Center for Advancing Electronics, Technical University Dresden, Germany
  • Dr. Matthias Wächter, ForWind, University Oldenburg, Germany
  • Dr. Björn Witha, ForWind, University Oldenburg, Germany
  • Prof. Dr. A. Peter Young, Physics Department, University of California Santa Cruz, United States


(Changed: 20 Jun 2024)  | 
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