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Journal Articles Chemical Engineering Science Year : 2020

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

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Abstract

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.
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Dates and versions

hal-02447484 , version 1 (21-01-2020)

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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⟩

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