4.7 Article

Calculation of reaction network and product properties of delayed coking process based on structural increments

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 431, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2021.133764

Keywords

Structure-oriented lumping; Structural increment contribution; Molecular level; Process simulation; Delayed coking

Funding

  1. National Natural Science Foundation of China and PetroChina [U1862204]

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The delayed coking reaction kinetic model based on the structure-oriented lumping method accurately predicts the yield and composition of coking products, as well as the characteristic properties such as distillation range, density, research octane number, and cetane number of coking gasoline and diesel. The model can calculate the impact of different structural increments on the properties of coking products. This research has significant implications for guiding the subsequent processing and process optimization of delayed coking plants.
The delayed coking reaction kinetic model based on the structure-oriented lumping method showed good ac-curacy in predicting the yield and composition of coking products at the molecular level. Based on the basic law that molecular structure determines molecular properties, the structural increment contribution method was constructed to expand the functions of established reaction kinetic model to predict the characteristic properties of coking gasoline and diesel products: distillation range, density, research octane number (RON) or cetane number (CN). The contributions of different structural increments of hydrocarbon molecules in gasoline to the RON and those in diesel to the CN could also be calculated by the model. The RONs of the hydrocarbon molecules decreased with the increase of R, and increased with the increase of br and me for the coking gasoline. The CNs of the paraffins molecules improved with the increase of R, but reduced with the increase of br and A6 for the coking diesel. The effects of all structural increments on the RON and CN could be quantitatively calculated through the established correlation formulas. The prediction of composition and properties of coking gasoline and diesel based on the model could guide the subsequent processing and process optimization of delayed coking plant.

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