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Labile flux: Inert flux: Numerical flux: Comparison between RD and ... M L(1) ML(1) labile M L(2) ML(2) inert. Concentration profiles close to the electrode ... – PowerPoint PPT presentation

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1
 Symposyium du Département de Chimie Analytique,
Minérale et AppliquéeDavide Alemani University
of Geneva  Lattice Boltzmann (LB) andtime
splitting methodfor reaction-diffusion modelling
  1. Reaction-diffusion in the environment.
  2. The LB approach why and how
  3. The time splitting method why and how
  4. Some numerical results
  5. Work in progress grid refinement

2
The environmental problem
3
Schematic representation of various chemical
species of a given element (M)
4
Schematic representation of the physicochemical
problem under investigation
Metal concentration 10-7 mol/m3 - 10-3
mol/m3 Diffusion coefficient 10-12 m2/s - 10-9
m2/s Kinetic rate constants 10-6 s-1 - 109 s-1
5
LB approach Why and how
Macroscopic Model
Mesoscopic Model (LB)
M L ML
6
The LBGK model (1D)
LBGK Evolution Equations
Schematic Representation (1D)
Flux Computation
7
Time splitting method Why and How
  • Important when physical and chemical processes
    occur simultaneously and rate constants vary over
    many order of magnitudes
  • Enables to split a complex problem into two or
    more sub-problems more simply handled

NS
RD
8
A detailed example of Time Splitting (RD)
coupled with LBGK approach
M L ML
9
Flux at the electrode for a semilabile complex
Labile flux
Numerical flux
Inert flux
10
Comparison between RD and NS with an exact
solution
Red circle values are taken from De Jong et al.,
JEC 1987, 234, 1
11
Flux at the electrode for two complexes ML(1) and
ML(2) with very different time scale reaction
rates
ML(1)??ML(1) labile ML(2)??ML(2) inert
Labile flux
Inert flux
Numerical flux
12
ML(1)??ML(1) labile ML(2)??ML(2) inert
Concentration profiles close to the electrode
Strong variation close to the electrode surface
13
Error vs grid size and the equilibrium
constant
14
(No Transcript)
15
Work in progress
A grid refinement approach for solving LBGK scheme
Problem to solve
M L(n) ?? ML(n)
16
Work in progress
A grid refinement approach for solving LBGK scheme
Conservation of mass and flux at the grid
interface
17
Thats all.Thanks to comeHoping to have been
clearHave a nice day
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