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Modeling of a bench-scale fixed-bed reactor for catalytic hydrotreating of vegetable oil

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  • Tirado, Alexis
  • Ancheyta, Jorge

Abstract

A dynamic trickle-bed reactor model was developed to predict the behavior of reactive species and products during the catalytic hydrotreating of vegetable oil. The prediction capability of the model was verified with experimental information obtained during the hydrotreating of a jatropha oil at temperature of 420 °C, hydrogen pressure of 80 bar, 1500 Nl/l of H2/oil ratio and WHSV of 1–12 h−1 using a NiW/SiO2–Al2O3 catalyst. The proposed model allows to predict the partial pressure and concentration profiles along the catalytic bed as a function of the time-on-stream. The dynamic simulation results agree with experimental data reported at steady-state conditions. A comparison of experimental data and calculated results provides a correlation coefficient of 0.988.

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  • Tirado, Alexis & Ancheyta, Jorge, 2020. "Modeling of a bench-scale fixed-bed reactor for catalytic hydrotreating of vegetable oil," Renewable Energy, Elsevier, vol. 148(C), pages 790-797.
    • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:790-797
    DOI: 10.1016/j.renene.2019.10.164
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    1. Mohammad, Masita & Kandaramath Hari, Thushara & Yaakob, Zahira & Chandra Sharma, Yogesh & Sopian, Kamaruzzaman, 2013. "Overview on the production of paraffin based-biofuels via catalytic hydrodeoxygenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 121-132.
    2. Xu, Junming & Jiang, Jianchun & Zhao, Jiaping, 2016. "Thermochemical conversion of triglycerides for production of drop-in liquid fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 331-340.
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    1. Tirado, Alexis & Alvarez-Majmutov, Anton & Ancheyta, Jorge, 2022. "Modeling and simulation of a multi-bed industrial reactor for renewable diesel hydroprocessing," Renewable Energy, Elsevier, vol. 186(C), pages 173-182.

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