Distinguished Seminar in Computational Science and Engineering
December 3, 2020, 12:00 PM ET
Towards DNS of Turbulent Combustion at the Exascale
Jacqueline Chen
Senior Scientist, Combustion Research Facility
Sandia National Laboratories
Recorded Seminar YouTube Link:
https://youtu.be/qMyvgKtMQII
Abstract:
Direct numerical simulation methodology and computing power have progressed to the point where it is feasible to perform DNS in complex geometries representative of flow configurations encountered in practical combustors. These complex flows encompass effects of mean shear, flow recirculation, and wall boundary layers together with turbulent fluctuations which affect entrainment, mixing, ignition and combustion. Examples of recent DNS studies with complex flows relevant to gas turbine and internal combustion engines will be presented. These include sequential reheat combustion in the presence of mixed combustion modes – hydrogen/air autoignition and flame propagation in a rectangular duct-in-a-duct configuration and multi-injection autoignition of n-dodecane jets at diesel conditions. In many of these complex flows there are regions of low-intensity turbulence with mean recirculation, flame-wall interaction in boundary layers, and shear generated turbulence interacting with ignition kernels or a flame brush. The U.S. Department of Energy’s Exascale Computing Project is developing applications, software stack and hardware for heterogeneous exascale machines to appear in the 2023 timeframe. Prospects for DNS of complex combusting flows at the exascale will be discussed with an emphasis on finite-volume adaptive mesh refinement with embedded boundary treatment and multi-physics. Finally an example of an asynchronous task based programming model at the exascale that facilitates in situ computational workflows including machine learning and analytics will be presented.
Jacqueline Chen1, Aditya Konduri1, Martin Rieth1, Hemanth Kolla1, Andrea Gruber2, Mirko Bothien3, and Marc Day4
1 Sandia National Laboratories; 2SINTEF Energy; 3Ansaldo Energia;
4Lawrence Berkeley National Laboratory
Bio:
Jacqueline H. Chen is a Senior Scientist at the Combustion Research Facility at Sandia National Laboratories. She has contributed broadly to research in turbulent combustion elucidating turbulence-chemistry interactions in combustion through direct numerical simulations. To achieve scalable performance of DNS on heterogeneous computer architectures she leads an interdisciplinary team of computer scientists, applied mathematicians and computational scientists to develop an exascale direct numerical simulation capability for turbulent combustion with complex chemistry and multi-physics. She is a member of the National Academy of Engineering, a Fellow of the Combustion Institute and the American Physical Society, and Associate Fellow of the AIAA. She received the Combustion Institute’s Bernard Lewis Gold Medal Award in 2018, the Society of Women Engineers Achievement Award in 2018, the R&D 100 Award for the Legion Programming System in 2020, and the Department of Energy Office of Science Distinguished Scientists Fellow Award in 2020.
Email kpnelson@mit.edu for Zoom details.
Towards DNS of Turbulent Combustion at the Exascale
Jacqueline Chen