Our everyday life is built on the certainty that electricity will be reliably available at all times. Fluctuations or even failures are not foreseen. When we are not dealing with disaster prevention or imagining doomsday scenarios, we rarely think about how vulnerable we are in our dependence on energy supply. Especially gas grids are not only huge and complex, but they change and require permanent readjustment and stabilisation. Further developing and optimising the energy grid with a view to new energy sources and changing priorities, monitoring its function and making it resilient to a multitude of risks is a highly complex task: we not only want to understand how different energy sources interact, but we also need to make reliable predictions and must be able to react immediately if something unexpected happens. This requires physical models, mathematical methods and data analysis – also in real time. Simulations and calculations take into account developments on the global energy market, the weather and the condition of the pipelines as well as the quality of energy sources or the consumption of industry and private households. How do you make this multi-dimensional system manageable?
Prof. Dr Alexander Martin is a mathematician. He heads the ADA Lovelace Center for Analytics, Data and Applications at the Fraunhofer Institute for Integrated Circuits IIS and is founding vice president of the Technische Universität Nürnberg. In his work, he deals with modelling and simulation in optimisation issues and brings “Artificial Intelligence” into application. In this episode of Digitalgespräch, the expert explains how our energy network is structured and what considerations underlie the models and methods with which he and his colleagues work. He describes the benefits of digitalisation, what data is needed and where AI can come into play. With hosts Marlene Görger and Petra Gehring Martin discusses which objectives and political debates influence the development of the gas network – and which economic and ecological costs are associated with the collection, storage and use of data.
Link to the profile of Alexander Martin on the webseite of the Technische Universität Nürnberg: To the profile of Alexander Martin on the website of the Nuremberg University of Technology: https://www.utn.de/person/prof-alexander-martin/
Link to the website of the ADA Lovelace Center for Analytics, Data and Applications at the Fraunhofer Institute for Integrated Circuits IIS: https://www.scs.fraunhofer.de/en/focus-projects/ada-center.html
The podcast is in German. At the moment there is no English version or transcript available.