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  4. Mathematical modeling of electrochemical kinetics of alkaline methanol oxidation
 
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2018
Journal Article
Titel

Mathematical modeling of electrochemical kinetics of alkaline methanol oxidation

Titel Supplements
Abstract
Abstract
In this talk we consider a kinetics of alkaline methanol oxidation from mathematical point of view. At first, we describe an algorithm for symbolic conversion of a chemical model to a mathematical model, based on hypergraph theory. The chemical model is given in a form of a list of reagents and reactions, while the mathematical model is presented as a system of differential equations dv/dt=F(v,u). Here v represent surface coverage of the electrode by adsorbed reagents, u is the electrode voltage, which can be either fixed or time-dependent. Solutions of the model possess rich mathematical structure, closely related with the chemical properties of the system. Stationary points are defined by the equation F(v,u)=0. Topological "hedgehog" theorems provide existence of at least one stationary point. By construction, F is a polynomial function of v, and specialized solvers are able to find all its roots. Linearization characterizes the behavior of the system near the stationary point. Eigenvalues of the system matrix are key characteristics, their signs define stability of equilibrium by Lyapunov's criterion, their values define the rate of convergence to the equilibrium, poles of lectroimpedance, structure of Nyquist plots and numerical characteristic of the system, known as stiffness. We show, that in electrochemical alkaline methanol oxidation there are several experimental effects, which can be explained by a high value of stiffness: slow relaxation to the stationary state, observed in the measurements of polarization curves and chronoamperometry, strong hierarchy of electroimpedance spectra and large hysteresis in cyclic voltammograms.
Author(s)
Nikitin, Igor
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Clees, Tanja orcid-logo
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Nikitina, Lialia
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Pott, Sabine
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
Krewer, Ulrike
Institute of Energy and Process Systems Engineering, Braunschweig, Germany
Windorfer, Theresa
Institute of Energy and Process Systems Engineering, Braunschweig, Germany
Zeitschrift
Chemical sciences journal : CSJ
Konferenz
European Chemistry Congress 2018
Thumbnail Image
DOI
10.4172/2150-3494-C2-021
Language
English
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Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
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