SFB Transregio 154

Mathematical modelling, simulation and optimization using the example of gas networks.

Science for energy transition

The “turnaround in energy policy” is currently in the main focus of public opinion. It concerns social, political and scientific aspects as the dependence on a reliable, efficient and affordable energy supply becomes increasingly dominant. On the other side, the desire for a clean, environmentally consistent and climate-friendly energy production is stronger than ever.

Gas as energy source

To balance these tendencies while making a transition to nuclear-free energy supply, gas becomes more and more important in the decades to come. Hydrogen is an energy carrier and can deliver or store a remendous amount of energy. Gaseous hydrogen can be transported through pipelines much the way natural gas is today.

Efficient gas supply

On the other side focusing on an efficient handling of gas transportation induces a number of technical and regulatory problems, also in the context of coupling to other energy carriers. As an example, energy transporters are required by law to provide evidence that within the given capacities all contracts defining the market are physically and technically feasible.

Our goal

Given the amount of data and the potential of stochastic effects, this is a formidable task all by itself, regardless from the actual process of distributing the proper amount of gas with the required quality to the customer. It is the goal of the Transregio-CRC to provide certified novel answers to these grand challenges, based on mathematical modeling, simulation and optimization. In order to achieve this goal new paradigms in the integration of these disciplines and in particular in the interplay between integer and nonlinear programming in the context of stochastic data have to be established and brought to bear.

Clearly, without a specified underlying structure of the problems to face, such a breakthrough is rather unlikely. Thus, the particular network structure, the given hierarchical hybrid modeling in terms of switching algebraic, ordinary and partial differential-algebraic equations of hyperbolic type that is present in gas network transportation systems gives rise to the confidence that the challenges can be met by the team of the proposed Transregio-CRC.

Focus: Integration

Moreover, the fundamental research conducted here will also be applicable in the context of other  energy networks such as fresh- and waste water networks. In this respect the proposed research goes beyond the exemplary problem chosen and will provide, besides a cutting edge in enabling technologies, new mathematics in the emerging area of discrete, respectively, integer and continuous problems.

Why pursue a doctoral degree?

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Future Meetings

  • 07.10 - 11.10.2024 Annual meeting in Regensburg + MOG 2024
  • 17.03 - 19.03.2025 Semi-annual meeting in Erfurt
  • 29.09. - 01.10.2025 Annual meeting in Berlin
  • 11.05. - 13.05.2026 Final meeting


Empowering Women in Optimization: Highly Successful Conference at FAU

The conference "Women in Optimization 2024" at Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) was held from April 10 - 12th, 2024, as …

Ruth Moufang Doctoral Prize 2023 awarded to Dr. Nora Philippi

We are pleased to congratulate Dr. Nora Philippi for being awarded the Ruth Moufang Doctoral Prize 2023 by the Department of Mathematics at TU …

Jan Giesselmann is co-orgamizer of a Minisymposium at GAMM 2024

Jan Giesselmann (C05), Julia Kowalski (RWTH Aachen) and Manuel Torrilhon (RWTH Aachen) organize a mini-symposium entitled 'Hierarchical Modelling …

Why pursue a doctoral degree?

We asked our doctoral researchers...   https://www.youtube.com/watch?v=-vKvCAQjEJc

Talk at Nanzan University in Nagoya, Japan by Michael Schuster

  Title: Gas Network Modelling and Optimal Locations for Control under Uncertainty  Friday, 8 March 2024 at Nanzan University in Nagoya, …

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