4.7 Article

Catalytic decomposition of formic acid in a fixed bed reactor-an experimental and modelling study

Journal

CATALYSIS TODAY
Volume 387, Issue -, Pages 128-139

Publisher

ELSEVIER
DOI: 10.1016/j.cattod.2021.10.022

Keywords

Formic acid; Decomposition; Kinetics; Mass transfer; Dimerization; Modelling

Funding

  1. Academy of Finland [319002]
  2. Erasmus+ Programme
  3. Academy of Finland (AKA) [319002, 319002] Funding Source: Academy of Finland (AKA)

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Formic acid plays a crucial role in green chemistry, and this study investigates its decomposition reaction in a fixed bed reactor. The catalyst, consisting of palladium nanoparticles deposited on porous active carbon, shows good stability. The experimental data can be well described by a multistep adsorption-decomposition model.
Formic acid is one of the key components in green chemistry being involved in energy storage, production of chemical intermediates and fuel components. Therefore the knowledge of its stability is of crucial importance and a systematic study of its decomposition is needed. The kinetics of formic acid decomposition to hydrogen and carbon dioxide was investigated in a laboratory-scale fixed bed reactor at 150-225 degrees C and atmospheric pressure. Palladium nanoparticles deposited on porous active carbon Sibunit were used as the heterogeneous catalyst. The catalyst was characterized by nitrogen physisorption and high-resolution transmission electron microscopy. The average palladium nanoparticle size was 5-6 nm. The impacts of mass transfer resistance and formic acid dimerization were negligible under the reaction conditions. Prolonged experiments revealed that the catalyst had a good stability. Hydrogen and carbon dioxide were the absolutely dominant reaction products, whereas the amounts of carbon monoxide and water were negligible. The experimental data were described with three kinetic models: first order kinetics, two-step adsorption-reaction model and multistep adsorption-decomposition model of formic acid. The multistep model gave the best description of the data.

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