Stabilization time modeling for hydroprocessing: 1 identification of the dominant factors

Ngoc-Yen-Phuong Cao (1) , Benoît Celse (1) , Denis Guillaume (1) , Isabelle Guibard (1) , Joris W Thybaut (2)

1 IFPEN - IFP Energies nouvelles
2 UGENT - Universiteit Gent = Ghent University

Hydroprocessing stabilization has been assessed using experimental data acquired at transient conditions. These data were obtained from a hydrotreating pilot plant in a wide range of operating conditions. It has been found that the stabilization evolution follows a first-order response and could be characterized by a stabilization time τ. A linear model was developed to relate τ to its most influential parameters. The model can then be combined with online transient data to predict the steady-state performance. By testing against new data with other feedstocks, the model has been found to provide a good prediction of the stabilization evolution and the ultimate steady-state hydrotreating performance. It is, hence, possible to “online” calculate the steady-state performance without the need to reach this steady state.

Mots clés: transient data; hydrocarbon; hydrotreating; stabilization

Domaines: Génie des procédés

Ngoc-Yen-Phuong Cao, Benoît Celse, Denis Guillaume, Isabelle Guibard, Joris W Thybaut. Stabilization time modeling for hydroprocessing: 1 identification of the dominant factors. Chemical Engineering Science, 2020, 213, pp.115392. ⟨10.1016/j.ces.2019.115392⟩. ⟨hal-02447484⟩