O pesquisador Michael Vynnycky, da University of Limerick, na Irlanda, ministrará nesta quarta-feira, 10 de abril, o seminário Polymer electrolyte fuel cells: modelling, asymptotics, numerics. A apresentação terá início às 16h30, na sala 4-002 do Instituto de Ciências Matemáticas e de Computação (ICMC), na USP São Carlos.
Vynnycky atua no Departamento de Matemática e Estatística da universidade irlandesa, onde é pesquisador sênior no Mathematics Application Consortium for Science and Industry. Suas pesquisas concentram-se nos seguintes tópicos: células a combustível de eletrólito polimérico; baterias redox-vanádio; decapagem eletroquímica de aço; efeito Mpemba; lingotamento contínuo de metais; processos geofísicos (convecção do manto; ascensão magmática).
Ele também ministrará o minicurso Mathematical modelling for electrochemical processes, que acontecerá no ICMC entre os dias 11 e 25 de abril. As inscrições podem ser feitas até esta terça-feira, 9 de abril, e as informações estão disponíveis neste link.
Segue o resumo do seminário (em inglês):
The polymer electrolyte fuel cell (PEFC) is an energy source with excellent economical and environmental potential that is able to operate in a wide range of stationary, portable and automotive applications. However, reductions in cost and improvements in both performance and reliability remain the key obstacles to large-scale implementation and commercialisation. Much depends principally on the design and properties of components in the heart of the fuel cell - the bipolar plates, porous backing, the catalytic layer and the membrane - and the stack. In order to be able to design and construct as cheap, efficient and reliable a PEFC as possible, it is necessary to be able to understand qualitatively and predict quantitatively how it functions; to do this, experimental methods must be complemented by theoretical modelling. Such modelling must account for highly coupled mass, momentum species, heat and charge transfer in the components of the cell, as well as electrochemical reactions. Whilst numerous models of this type already exist, almost all are CFD-based; whilst able to resolve three-dimensional single-cell geometries, they are generally too unwieldy for use in stack modelling. This talk demonstrates how prudent use of asymptotic methods can lead to reduced models that maintain geometrical resolution, but lead to a numerical formulation that requires considerably less computing time than CFD – a saving that opens up the way for the modelling of stacks consisting of several hundred cells. Some numerical solutions are presented.
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