• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Department of Data Science
  • FAUTo the central FAU website
  1. Friedrich-Alexander-Universität
  2. Faculty of Sciences
  • Campo
  • UnivIS
  • Jobs
  • Map
  • Help
  1. Friedrich-Alexander-Universität
  2. Faculty of Sciences

Department of Data Science

Navigation Navigation close
  • Department
    • Department of Data Science
      • Executive Board
      • Administrative Office
    Portal Department of Data Science
  • People
  • Education
    • Bachelor Data Science (German)
    • Master Data Science (English)
    Portal Education
  • Research
    • Research Groups
      • Analytics & Mixed-Integer Optimization
      • Data Analytics
      • Digital Sovereignty
      • Mathematical Statistics
      • Optimization under Uncertainty & Data Analysis
    • Agile Teams
      • IBO – Intelligent Business Optimization
      • DynDat – Dynamic data inversion, learning and control
    • Professors, Lecturers and Researchers
    • Calendar
    • Secondary Members of DDS
    • Former Members
    Portal Research

Department of Data Science

In page navigation: Research
  • Agile Teams
    • IBO – Intelligent Business Optimization
    • DynDat – Dynamic data inversion, learning and control
  • Research Groups
    • Analytics & Mixed-Integer Optimization
      • Group members
        • Dr. Andreas Bärmann
          • Projects
          • Publications
          • Teaching
        • M.Sc. Kristin Braun
          • Publications
        • Prof. Dr. Yiannis Giannakopoulos
        • M.Sc. Adrian Göß
        • M.Sc. Lukas Hager
        • M.Sc. Johannes Hahn
        • M.Sc. Katrin Halbig
        • M.Sc. Jan Krause
        • M.Sc. Richard Krug
          • Projects
        • M.Sc. Alexander Müller
          • Projects
        • Dipl.-Math. Galina Orlinskaya
          • Projects
          • Publications
        • Dr. Jan Rolfes, Akad. Rat
          • Publications
          • Teaching
        • Hanno Schülldorf
        • M.Sc. Sonja Weiland
        • Dr. Dieter Weninger, Akad. Rat
          • Projects
          • Publications
          • Teaching
      • Projects
        • Analytics
          • Ada-Lovelace Center
        • Energy
        • Engineering and Physics
        • Logistics and Production
        • Mixed Integer Programming
        • TRR 154 (Transregio)
      • Publications
      • PhD Theses
      • Teaching
      • Bachelor and Master Thesis
        • Bachelor Thesis
        • Master Thesis
      • Public Relations
      • News and Events
        • Conference on Optimization and Machine Learning in Industry
      • How to find us
    • Data Analytics
      • Prof. Dr. Timm Oertel
    • Digital Sovereignty
    • Dynamics, Control, Machine Learning and Numerics (Alexander von Humboldt-Professur)
      • Events
      • Team
      • Humboldt-Professorship
    • Mathematical Statistics
    • Optimization under Uncertainty & Data Analysis
      • Group members
        • M.Sc. Kevin-Martin Aigner
          • Projects
          • Publications
          • Research Activities
        • M.Sc. Daniela Bernhard
        • M.Sc. Jana Dienstbier
          • Publications
        • M.Sc. Benno Hoch
          • Projects
        • M.Sc. Martina Kuchlbauer
          • Projects
          • Publications
        • Prof. Dr. Frauke Liers
        • M.Sc. Florian Rösel
          • Projects
          • Publications
        • Sebastian Tschuppik
          • Projects
        • Friedrich Wagner
        • M.Sc. Jorge Weston
      • Projects
      • Publications
      • PhD Theses
      • Teaching
      • Bachelor and Master Theses
      • How to find us
  • Professors, Lecturers and Researchers
    • Marie-Christine Düker
    • Yiannis Giannakopoulos
    • Jens Habermann
    • Johannes Helbig
    • Manfred Kronz
    • Frauke Liers
    • Timm Oertel
    • Dieter Weninger
    • Marius Yamakou
  • Secondary Members of DDS
    • Freimut Bodendorf
    • Günter Leugering
  • Former Members

TRR 154 (Transregio)

CRC/Transregio – Mathematical Modelling, Simulation and Optimization using the Example of Gas Networks

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.
To balance these tendencies while making a transition to nuclear-free energy supply, gas becomes more and more important in the decades to come. Natural gas is and will be sufficiently available, is storable and can be traded. 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. 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. 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.

Spokesperson of this CRC/Transregio is Alexander Martin.

Website

  • http://trr154.fau.de

Press

  • www.km.bayern.de/pressemitteilung/8896/nr-155-vom-16-05-2014.html

Department of Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg

Cauerstr. 11
91058 Erlangen
  • Imprint
  • Privacy
  • Accessibility
  • Internal
  • Facebook
  • RSS Feed
  • Twitter
  • Xing
Up