%0 Journal Article
%A Moazami, Nima
%A Wyszynski, Miroslaw Lech
%A Rahbar, Kiyarash
%A Tsolakis, Athanasios
%D 2017
%T Parametric Study and Multiobjective Optimization of
Fixed-Bed Fischer–Tropsch (FT) Reactor: The Improvement of
FT Synthesis Product Formation and Synthetic Conversion
%U https://acs.figshare.com/articles/journal_contribution/Parametric_Study_and_Multiobjective_Optimization_of_Fixed-Bed_Fischer_Tropsch_FT_Reactor_The_Improvement_of_FT_Synthesis_Product_Formation_and_Synthetic_Conversion/5323990
%R 10.1021/acs.iecr.7b02025.s001
%2 https://ndownloader.figshare.com/files/9128938
%K FT Synthesis Product Formation
%K selectivity
%K HC
%K search optimization algorithm
%K FTS
%K water gas shift
%K CO
%K WGS kinetics models
%K FT reaction pathways
%K NSGA-II
%K parameter
%K syngas conversion
%K MATLAB
%X A mathematical
model of a fixed-bed reactor for Fischer–Tropsch
synthesis (FTS) over 37% Co/SiO2 catalyst was developed
to investigate the performance of the whole process for products’
selectivity and syngas conversion. The model was capable of calculating
the changes of reactant and products’ concentrations, partial
pressures, conversion, and selectivity. In a previous study, a series
of combined novel FT and water gas shift (WGS) reaction mechanisms
(eight elementary FT reaction pathways along with seven WGS kinetics
models) were developed in order to calibrate and validate the mathematical
model along with reaction kinetics at different experimental conditions.
Such mathematical models with reaction networks can be used as a key
tool to emphasize the most significant facts of FTS catalysis and
chemistry. Integration of the global search optimization algorithm
with the developed model was explained for estimation of kinetics
parameters. Data analyses were carried out to ensure that the predicted
model results as well as kinetic parameters are significantly relevant
and physically meaningful. Parametric studies were performed to numerically
investigate the effects of operating conditions (e.g., reaction temperature,
total pressure, space velocity, and H2/CO molar ratio)
on products’ selectivity and reactant conversion. These parameters
were then included in a multiobjective optimization in MATLAB using
NSGA-II to optimize the CO2 and HC products’ selectivity
and syngas conversion. The optimization process gives rise to a set
of trade-off optimal solutions (Pareto-optimal solutions) which is
used as a dynamic database depending on the specific requirement.
A different operating condition can be selected from such a database
which privileges the optimization of a particular output (e.g., conversion
and selectivity).
%I ACS Publications