Improvement of C–C Coupling Using SiC as a Support of Cobalt Catalysts in Fischer Tropsch Synthesis

Westphalen, Gisele; Baldanza, Maria A. S.; Almeida, António; Salim, Vera Maria Martins; Silva, Mônica Antunes Pereira da; Silva, Victor Teixeira da

doi:10.1007/s10562-021-03775-6

Cited by 7 publications

(2 citation statements)

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“…More recently, when the Co–Re/Al 2 O 3 catalyst was employed, Dong et al found out that the addition of Re as a promoter efficiently increased the amount of diesel oil (C 10 –C 20 ), also overcoming the 39.7% maximum value predicted by the ASF model. Additionally, some recent investigations reported selectivity results that deviate considerably from the ASF distribution. , …”

Section: Introductionmentioning

confidence: 99%

“…Additionally, some recent investigations reported selectivity results that deviate considerably from the ASF distribution. 27,28 Fortsch et al 21 reviewed the likely origins of the commonest ideal-ASF deviations and developed an extended ASF model, more robust and with five parameters. However, one should always be concerned with overparameterized models.…”

Section: ■ Introductionmentioning

confidence: 99%

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Fischer–Tropsch Synthesis Model Involving the Living Growth of Carbon Chains

Pinheiro,

Baldanza,

Smarzaro

et al. 2024

Ind. Eng. Chem. Res.

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The increasing worldwide energy demand encourages the search for renewable and clean energy resources. In this scenario, Fischer−Tropsch synthesis (FTS) emerges again as a convenient alternative for fuel production, now using cleaner and renewable sources, such as syngas (CO + H 2 ) from biomass. This goal can be tackled with help of mathematical models that are useful for designing products and processes. For this reason, a novel phenomenological model for FTS was developed and is presented here. The model is based on a living addition polymerization scheme, which has not been used to represent the FTS reactions yet. The present work focuses on the estimation of the respective model parameters, while the obtained results indicate that the model provides good fits for the available experimental carbon size distributions and that the temperature exerts a significant direct effect on the kinetic rate constants.

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Section: Introductionmentioning

confidence: 99%