KAUST Research Workshop
Physics of Turbulent Combustion
December 2-4 2019
Delegates from academia, government laboratories and industry are invited to attend the 2019 workshop on Physics of Turbulent Combustion, hosted and organized by the Clean Combustion Research Center (CCRC) at KAUST. The workshop will bring together worldwide experts in turbulent combustion research to identify the most significant scientific and engineering issues towards predictive modeling of turbulent combustion phenomena towards clean and efficient energy conversion. The workshop invites experts in combustion theory, direct numerical simulations, large eddy simulations, mathematical modeling, combustion kinetics, laser diagnostics, reduced order modeling, big data, and machine learning. The outcome will be a community-wide consensus on high impact research toward sustainable energy, and building a synergistic research network between academia and industry.
Scope and Objectives
The workshop aims to improve our current knowledge and capabilities in the description of turbulent combustion on the following themes:
- Physics of turbulent combustion: This theme will investigate observation and analysis of high fidelity simulation and experimental measurements, typically of canonical flame configurations, thereby providing insights into the unknown characteristics pertaining to turbulent combustion at extreme conditions. We will assess their implications, thus revise the existing theory, and identify challenges in broadening our understanding for the unexplored fuels and conditions in future research.
- Advances in modeling and diagnostics for practical applications: The fidelity of simulations and diagnostic information need to be utilized in the development of predictive simulation capabilities for industrial applications. The state-of-the-art RAN and LES practice in the academia and industry today will be assessed and future direction for high impact predictive model developments will be discussed.
- Enabling technologies for large data and analytics: The massive amount of computational and experimental data offers an opportunity of a new paradigm of non-physics based submodels relying on machine learning algorithms. Cutting-edge computational methodologies for machine learning from large data will be discussed and the strategies to utilize these tools for academic and industrial applications will be identified.
The proposed workshop will provide a research forum through voluntary participations of experts in different aspects of combustion research, thus resulting in the outcome that are bigger than sum of individual parts.
The workshop will run for three days, with invited keynote presentations and open discussions. Each day will focus on a specific topic as described in the agenda. A total of 40 international and domestic participants from academia and industry are anticipated with a good mixture of expertise and interests. Each senior member will likely accompany a few students or postdocs to promote further collaborations and networking.
KAUST will provide travel and local expenses. It is expected that the expenses for senior participants will be fully covered, and the expenses for accompanying students and postdocs will be partly within the budget.
Registration has been closed for all participants.