2019
DOI: 10.1007/s10562-019-02860-1
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Neural Computing Strategy for Predicting Deactivation of Fischer–Tropsch Synthesis With Different Nickel Loadings

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Cited by 3 publications
(1 citation statement)
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“…However, oxidation of the active phase under FT conditions is a matter of concern, mainly for small clusters in the order of a few nanometers (Corral Valero and Raybaud, 2013). Fouling in FTS is characterized by the deposition and physical blocking of active sites by long and complex hydrocarbons or deposited carbon (Ghofran Pakdel et al, 2019). The latter is only harmful in a graphite state, whereas amorphous carbon deposition can easily be removed by hydrogenation during operation (Chen et al, 2018a).…”
Section: Catalyst Deactivation Mechanismsmentioning
confidence: 99%
“…However, oxidation of the active phase under FT conditions is a matter of concern, mainly for small clusters in the order of a few nanometers (Corral Valero and Raybaud, 2013). Fouling in FTS is characterized by the deposition and physical blocking of active sites by long and complex hydrocarbons or deposited carbon (Ghofran Pakdel et al, 2019). The latter is only harmful in a graphite state, whereas amorphous carbon deposition can easily be removed by hydrogenation during operation (Chen et al, 2018a).…”
Section: Catalyst Deactivation Mechanismsmentioning
confidence: 99%