Transregio “Mathematical modeling, simulation and optimization using the example of gas networks” fund extended

The Collaborative Research Center / Transregio 154 “Mathematical modeling, simulation and optimization using the example of gas networks” receives its third funding period from the DFG. The German Research Foundation will fund the Transregio for another four, i.e. twelve years in total.

Gas networks for the future

Germany is pursuing the goal of switching over to renewable sources of energy in the near future. For this to happen, it is not only necessary to extend and convert existing infrastructure, but also to modernize methods for operating and controlling energy networks. The gas network is of particular importance. For (geo)political, security and supply engineering reasons, gas will continue to play a major role for some time to come. One reason is that the future hydrogen infrastructure will use and extend existing capacities in the gas network.

Findings in the context of mathematic modeling, simulation and optimization and how they relate to each other are crucial if we are to answer the questions that will arise as a result. This is the focus of the collaborative research center/transregio 154 “Mathematical modeling, simulation and optimization using the example of gas networks”, with its work ranging from research into basic theory to how findings can be transferred into practical applications. In the last funding period, the focus was predominantly on dynamic aspects, dealing with uncertainty and interrelation with the gas trade.

In its third funding period, the researchers will continue to develop the methods and models they have developed to date and link them to the current challenges posed by the energy transition using the mathematical skills they have developed.

Detailed information is also available on the website of CRC/transregio 154.

Further information:

SFB/Transregio 154 „Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken“
Prof. Dr. Alexander Martin
Lehrstuhl für Analytics & Mixed-Integer Optimization
Tel.: 09131/85-67163
alexander.martin@fau.de