Host Institution: Université Libre de Bruxelles (Belgium)
Department of Aero-Thermo-Mechanics, Université Libre de Bruxelles
Phone: +32 498526001
Research interests
In recent years, there has been an increasing interest for the use of Principal Component Analysis for the development of reduced-order combustion models. The PCA modelling framework has been demonstrated a priori and a posteriori for a wide range of configurations, including simple batch and perfectly stirred reactors, one-dimensional laminar flames and complex cases such as flame-vortex interaction as well as plasma flows. Results indicated that PCA-based models are able to provide very accurate results when compared to full size simulations. Current investigations have shown that PCA models are relatively invariant to parameters such as the Reynolds number of the flow. This implies that PCA models can be trained on relatively simple systems and used to simulated systems showing more complex turbulence/chemistry interactions. However, it appears still necessary to determine and quantify the validity range of PCA models, to determine: the required degree of complexity of the chemical reactor used to generate the model; and the conditions at which the reduced models will not be valid anymore.
Education
Project title: Development of PCA–based reduced models for natural gas combustion
Objectives. In recent years, there has been an increasing interest for the use of Principal Component Analysis for the development of reduced-order combustion models. The PCA modelling framework has been demonstrated a priori and a posteriori for a wide range of configurations, including simple batch and perfectly stirred reactors, one-dimensional laminar flames and complex cases such as flame-vortex interaction as well as plasma flows. Results indicated that PCA-based models are able to provide very accurate results when compared to full size simulations. Current investigations have shown that PCA models are relatively invariant to parameters such as the Reynolds number of the flow. This implies that PCA models can be trained on relatively simple systems and used to simulated systems showing more complex turbulence/chemistry interactions. However, it appears still necessary to determine and quantify the validity range of PCA models, to determine: i) the required degree of complexity of the chemical reactor used to generate the model; and ii) the conditions at which the reduced models will not be valid anymore.
Expected results. The objective of the present ESR are twofold: to extend the PCA modeling approach to relatively large kinetic mechanisms as the ones applicable to conventional and unconventional natural gas based fuels, and to validate the PCA approach in the framework of Large Eddy Simulation. For the former objective, PCA will be first in the framework of high-fidelity simulation tools such as DNS and ODT (One Dimensional Turbulence). This will the necessary to identify the required strategies to deal with relatively large kinetic mechanism (non-linear regression, kernel PCA, ...). The validation of PCA in the framework on LES will require the development of appropriate sub-grid strategies. At this stage, potential candidates include the Rate-Controlled Constrained Equilibrium (RCCE) and the Eddy Dissipation Concept (EDC) (from ESR 14).
Planned secondment. FR-ECP (8-10 months). Extension of PCA to LES.
One of the originalities is to link the different teams together with four additional industrial partners in order to suggest and develop new complementary perspectives combining mathematics and physics, chemistry and fluid mechanics, computation and experiments, all these different approaches aiming at a final real scale application for industrial use by companies.
One innovative aspect of the program is to offer an extensive and prospective view of research to candidates with the goal to prepare them to become the researchers of tomorrow. The candidates' education will not be only a scientific research program, but also instruction on how to develop their understanding of research, their own responsibilities and their professional abilities.
Mobility is essential for research. Candidates will spend a first year mainly dedicated to their learning and knowledge development in one or the two co-tutelle institutions, followed by 1 or 2 semesters of intensive exchanges between the two. Then candidates will take a step back during the last semester for the synthesis of the work.