The kinetics of hydrodearomatization (HDA) is studied in an isothermal high-throughput reactor over three catalysts (CoMo, NiMo, and NiMoW) to produce clean diesel fuel according to China’s latest emission standards....The kinetics of hydrodearomatization (HDA) is studied in an isothermal high-throughput reactor over three catalysts (CoMo, NiMo, and NiMoW) to produce clean diesel fuel according to China’s latest emission standards. The influences of reaction temperature, pressure, the ratio of H2 to oil, and space time were systematically investigated. By analyzing the reaction mechanism, a four-lump kinetic model considering the influence of competitive adsorption was proposed for the hydrodearomatization reaction, and the model parameters were optimized with good fitting. It was found that nitrogen compounds inhibited the hydrodearomatization reaction. The simulation of various catalyst stacking schemes based on the HDA kinetic model is close to the experimental data, proving the reliability of the model. The concentration of aromatic compounds of different loading sequences was predicted with the catalyst gradation model.展开更多
基金Funding from the National Key R&D Program of China (2017YFB0306601)
文摘The kinetics of hydrodearomatization (HDA) is studied in an isothermal high-throughput reactor over three catalysts (CoMo, NiMo, and NiMoW) to produce clean diesel fuel according to China’s latest emission standards. The influences of reaction temperature, pressure, the ratio of H2 to oil, and space time were systematically investigated. By analyzing the reaction mechanism, a four-lump kinetic model considering the influence of competitive adsorption was proposed for the hydrodearomatization reaction, and the model parameters were optimized with good fitting. It was found that nitrogen compounds inhibited the hydrodearomatization reaction. The simulation of various catalyst stacking schemes based on the HDA kinetic model is close to the experimental data, proving the reliability of the model. The concentration of aromatic compounds of different loading sequences was predicted with the catalyst gradation model.
