Summary
Dr Mino Woo is a Research Associate in the Centre for Transport Studies and the Transport & Environment Laboratory.
Mino is currently involved in the Air.Car project aiming to predict a real-time NOx emissions from real-world driving conditions for a wide range of diesel vehicles. His research is focused on developing a instantaneous vehicle NOx emissions by Artificial Neural Network (ANN), that is one of the machine learning techniques. Findings from this project will contribute to real-time emissions monitoring, with applications in urban air quality management, enhanced driver training and pay-as-you-pollute charging. The emissions models will also be coupled to traffic simulation software to evaluate the effect of different driving behaviours on network-level road transport emissions.
Mino has expertise in numerical modelling and simulation of reacting flow especially for the catalytic reactions such as diesel after-treatment system. Previously, he worked at KWEnC in Korea where he developed a number of computer codes for after-treatment system (DOC, LNT, SCR and TWC) within several industrial projects.
Publications
Journals
Woo M, Stettler MEJ, 2021, Feasibility study on the use of artificial neural networks to model catalytic oxidation in a metallic foam reactor, Industrial and Engineering Chemistry Research, Vol:60, ISSN:0888-5885, Pages:15416-15427
Woo M, Choi BC, 2021, Numerical study on fuel-NO formation characteristics of ammonia-added methane fuel in laminar non-premixed flames with oxygen/carbon dioxide oxidizer, Energy, Vol:226, ISSN:0360-5442
Woo M, Giannopoulos G, Rahman MM, et al. , 2021, Multiscale numerical modeling of solid particle penetration and hydrocarbons removal in a catalytic stripper, Aerosol Science and Technology, Vol:55, ISSN:0278-6826, Pages:987-1000
Woo M, Nishida RT, Schriefl MA, et al. , 2021, Open-source modelling of aerosol dynamics and computational fluid dynamics: nodal method for nucleation, coagulation, and surface growth, Computer Physics Communications, Vol:261, ISSN:0010-4655
Woo M, Tischer S, Deutschmann O, et al. , 2021, A step toward the numerical simulation of catalytic hydrogenation of nitrobenzene in Taylor flow at practical conditions, Chemical Engineering Science, Vol:230, ISSN:0009-2509, Pages:116132-116132