Within the project, one of the largest DNS databases of H2-based flames on Europe’s fastest supercomputers was generated. The data can be summarized as follows:
• 2D laminar flames:
o H2/air, with/without Soret effects, f = 0.3-0.5 T = 300-400 K, p = 1-20 atm
o H2/air, EGR fractions 0-20%, f = 0.3-0.5 T = 400 K, p =1-6 atm
o CH4/H2/air, H2 fractions 55-100%, f = 0.35-0.65 T = 300 K, p = 1-32 atm
• 3D laminar flames:
o H2/air, f = 0.4 p = 1 atm, T = 298 K, incl. NOx chemistry.
• 3D turbulent flame kernels
o H2/air, f = 0.4 p = 40 atm, T = 800 K
• 3D turbulent slot jet flames
o H2/air, Re=5,500; 11,000; 22,000, f = 0.4 T = 298 K, Ka=25, 1 atm
o H2/air, Ka=25; 50; 230, f = 0.4 T = 298 K, Re=11,000, 1 atm
o H2/air, Re=11,000, f = 0.4 T = 298 K, p = 1; 10 atm.
Each simulation required careful planning and massive effort to produce and analyze. The simulations have been performed on the supercomputers SuperMUC (LRZ), JUWELS (JSC), and CLAIX (RWTH Aachen University) and require more than 400 million core hours of computing time. The database enables the detailed analysis of intrinsic flame instabilities and their effects within this project's scope and beyond. A visualization of the temperature field in turbulent premixed hydrogen jet flames at Reynolds numbers ranging from 5,500 (left) to 22,000 (right) is displayed in the Figure below.
The second breakthrough involves progress in understanding the Reynolds and Karlovitz number effects in lean premixed hydrogen/air flames. These flames exhibit synergistic interaction between turbulence and thermodiffusive instabilities, which have a leading order effect on flame dynamics and drastically increase flame speed. In the context of this project, massive-parallel high-fidelity simulations enabled precise insight into the flame structure and the turbulence/chemistry interactions. Experimental investigations suggested that this synergistic interaction diminishes at high Reynolds numbers due to enhanced penetration of turbulence into the flame. However, the conducted analysis revealed that synergistic interactions persist under these conditions, which has important implication for the modelling. Next, a novel analysis methodology was employed, featuring a rigorous decomposition of the turbulent flame speed into contributions from flame wrinkling and variations of local reactivity. It was shown that the instability-related terms of the flame surface area generation and reaction rates feature different trends with increasing Karlovitz number. This finding is highly relevant for the modeling and prediction of hydrogen flames.