Dr. Parente and his research group have made important contributions to the research on Empirical Low Dimensional Manifolds, showing their great potential 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. Moreover, It was shown that the principal components from simple systems could be employed for simulating more complex ones, indicating a relative invariance of the chemical manifold. This represents a very attracting feature of the models, which can be built from inexpensive simulations. Finally, it was shown that PCA allows focusing on the slow scales of the process, leading to a reduction of the problem stiffness.
In the framework of MILD combustion, the PI has contributed to the understanding of turbulent-chemistry interactions in such a combustion regime and the mechanisms controlling the formation of pollutant species such as NO.
In the field of Atmospheric Boundary Layer flows, Dr. Parente and co-workers have proposed a comprehensive methodology for the numerical simulation of the ABL, which includes boundary conditions, turbulence model and wall function formulation. Several research groups currently use this approach for pollutant dispersion, microclimate studies and wind farms optimisation.
Fortunato, V., Parente, A., Galletti, C. C., & Tognotti, L. L. (2015). Influence of modelling and scenario uncertainties on the numerical simulation of a semi-industrial flameless furnace. Applied thermal engineering, 76, 324-334. doi:10.1016/j.applthermaleng.2014.11.005
Peerenboom, K., Parente, A., Kozák, T., Bogaerts, A. A. M. B. A., & Degrez, G. (2015). Dimension reduction of non-equilibrium plasma kinetic models using principal component analysis. Plasma sources science & technology, 24(2). doi:10.1088/0963-0252/24/2/025004
Isaac, B., Coussement, A., Gicquel, O., Smith, P., & Parente, A. (2014). Reduced-order PCA models for chemical reacting flows. Combustion and flame, 10.1016/j.combustflame.2014.05.011(Volume 161, Issue 11), 2785–2800. doi:10.1016/j.combustflame.2014.05.011
Parente, A., & Sutherland, J. (2013). Principal component analysis of turbulent combustion data: Data pre-processing and manifold sensitivity. Combustion and flame, 160, 340–350.
Isaac, B., Parente, A., Galletti, C., Thornock, J., Smith, P., & Tognotti, L. (2013). A Novel Methodology for Chemical Time Scale Evaluation with Detailed Chemical Reaction Kinetics. Energy & fuels, 27(4), 2255–2265. doi:10.1021/ef301961x
Coussement, A., Gicquel, O., & Parente, A. (2013). MG-local-PCA method for reduced order combustion modeling. Proceedings of the Combustion Institute, 34(1), 1117–1123. doi:10.1016/j.proci.2012.05.073
Coussement, A., Gicquel, O., & Parente, A. (2012). Kernel Density Weighted Principal Component Analysis of Combustion Process. Combustion and flame, 159(9), 2844–2855. doi:10.1016/j.combustflame.2012.04.004
Parente, A., Galetti, C., & Tognotti, L. (2011). A simplified approach for predicting NO formation in MILD combustion of CH4-H2 mixtures. Proceedings of the Combustion Institute, 33, 3343-3350.
Parente, A., Sutherland, J., Dally, B., Tognotti, L., & Smith, P. (2011). Investigation of the MILD combustion regime via Principal Component Analysis. Proceedings of the Combustion Institute, 33, 3333-3341.
Parente, A., Sutherland, J., Tognotti, L., & Smith, P. (2009). Identification of low-dimensional manifolds in turbulent flames. Proceedings of the Combustion Institute, 32, 1579-1586.
Sutherland, J., & Parente, A. (2009). Combustion modeling using Principal Component Analysis. Proceedings of the Combustion Institute, 32, 1563-1570.