2nd Ammonia Combustion Meeting

12-13 May, 2023

National Cheng Kung University, Tainan, Taiwan

in collaboration with ASPACC 2023

The ammonia combustion meeting will feature invited talks from experts of academia and industry, presenting a review of the state-of-the-art on different aspects of ammonia combustion in the field, and highlight the key challenges for the community to tackle. The invited talks will be followed by a panel discussion.


During the meeting the following topics will be discussed:

  • Chemical kinetics
  • Turbulent flames
  • Numerical tools
  • Diagnostics
  • Mild Combustion
  • Plasma assisted combustion
  • Industrial burners
  • Ammonia sprays
  • IC engines

    Watch all the recorded talks at the Ammonia Combustion Meeting 2023 here

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    Watch all the recorded talks at the Ammonia Combustion Meeting 2022 here

    Watch now


    KAUST and CCRC logo
    Andrea Gruber

    SINTEF, Norway


    Andrea Gruber holds a doctoral degree in Mechanical Engineering from NTNU (2006), he is Senior Research Scientist at SINTEF Energy Research and Adjunct Professor at NTNU. His research interests are in the development and application of massively parallel direct numerical simulations (DNS), a high-fidelity numerical approach to accurately predict turbulent reactive flows. Over a period of nearly two decades and in a close and fruitful collaboration with combustion researchers from Sandia Lab (Livermore, CA), Dr. Gruber has initiated the deployment of DNS on some of the research challenges related to combustion of highly-reactive and non-standard fuels in gas turbines (hydrogen in particular). Pursuing industrial relevance within the framework of numerous national and international research initiatives (BIGH2, NCCS, DiHI-Tech, ENCAP, DECARBit) and in close partnership with the gas turbine industry (ALSTOM, Ansaldo Energia, Siemens), he has contributed to the fundamental understanding of key turbulence-chemistry interaction processes that play a major role in the achievement of clean and efficient power generation: design and optimization of fuel injection systems, flashback prediction and control, static and dynamic flame stabilization in conventional and staged combustion systems
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