What is it about?

With regard to the lack of knowledge on the steps and details of CO2 hydrogenation, effort has been made to estimate the kinetic parameters of this process for the first time through ABC and DE optimization algorithms based on LHHW mechanism. To this aim, both experimental and theoretical studies are accomplished.

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Why is it important?

Firstly, CO2 hydrogenation is performed in a lab-scale fixed-bed reactor containing synthesized FeK/γ-Al2O3 catalysts. In the next step, CO2 hydrogenation process including RWGS, FT and DH reactions is simulated via a one-dimensional heterogeneous model. The next and the main part of this study is devoted to estimate the kinetic parameters of this process through ABC and DE optimization algorithms via utilization of the experimental results. Finally, based on the superiority of ABC algorithm to determine hydrocarbons distribution, the proposed model is exploited to investigate the reactor performance. Besides, available literature data are used to prove the validity of the modeling approach.

Perspectives

Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. With regard to the lack of knowledge on the steps and details of CO2 hydrogenation, effort has been made to estimate the kinetic parameters of this process for the first time through ABC and DE optimization algorithms based on LHHW mechanism.

Dr Samrand Saeidi (S. Saeidi)

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This page is a summary of: Modeling and optimization of hydrogenation of CO2: Estimation of kinetic parameters via Artificial Bee Colony (ABC) and Differential Evolution (DE) algorithms, International Journal of Hydrogen Energy, February 2019, Elsevier,
DOI: 10.1016/j.ijhydene.2019.01.020.
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