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IRTG Modern Inverse Problems (MIP)
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SSD Seminar Series with Dr. Federica Ferraro and Ludovico Nista, M. Sc.

November 8 @ 16:00 - 17:00

Dr. Federica Ferraro and Ludovico Nista, M. Sc. – The Role of High-Performance Computing for Energy Transition

Simulation Data Lab Energy Conversion, Technical University of Darmstadt and RWTH Aachen University

Abstrac

The paramount relevance of climate change and the associated dangers for mankind are largely undisputed, forcing a rapid transformation of the present energy conversion systems towards CO2-free or neutral energy processes. Even on the current pathway to zero-emission dominated by renewable sources, like wind turbines and photovoltaics, combustion technologies are expected to play a major role to cover the ever-increasing energy demand in the near future. Significant growth in the usage of alternative fuels, such as biofuels, e-fuels and, e-hydrogen, is then expected in the short term.

However, current power generation and transportation applications are not yet designed to efficiently use such alternative fuels, where fuel composition variability with different thermophysical and combustion properties (ignition limits, burning rates, stability limits), as well as combustion instabilities and flashback still pose great challenges.

Further understanding of the combustion processes involved is then essential to improve fuel efficiency, reduce greenhouse gas emissions, and aid a smooth shift towards next-generation fuels. In this view, the transition of High-Performance Computing systems to exascale architectures will support the design of sustainable combustion systems.

The usage of high-performance numerical tools such as Direct Numerical Simulations and Large Eddy Simulations will enhance the physical understanding of the aforementioned phenomena, supporting the identification of the underlying physical mechanisms precisely. It will encourage the revision and development of improved numerical models to provide reliable predictions.

The presentation will cover some of the current challenges in numerical combustion research applied to energy transition applications. Moreover, as data-driven methods have become more popular in the Computational Fluid Dynamics (CFD) field, the potential of applying state-of-the-art data-driven methods to improve numerical closure modeling will be discussed.

 

 

Details

Datum:
November 8
Zeit:
16:00 - 17:00

Veranstaltungsort

a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you need any organizational help please contact office@aices.rwth-aachen.de

Veranstalter

IRTG-2379 MIP