Abstract
For the first time, a fully comprehensive heterogeneous computational fluid dynamic (CFD) model has been developed to predict the selective catalytic deoxygenation of palm oil to produce green diesel over an Ni/ZrO2 catalyst. The modelling results were compared to experimental data, and a very good validation was obtained. It was found that for the Ni/ZrO2 catalyst, the paraffin conversion increased with temperature, reaching a maximum value (>95%) at 300 °C. However, temperatures greater than 300 °C resulted in a loss of conversion due to the fact of catalyst deactivation. In addition, at longer times, the model predicted that the catalyst activity would decline faster at temperatures higher than 250 °C. The CFD model was able to predict this deactivation by relating the catalytic activity with the reaction temperature.
Original language | English |
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Article number | 747 |
Pages (from-to) | e747 |
Journal | Catalysts |
Volume | 11 |
Issue number | 6 |
DOIs | |
Publication status | Published - 18 Jun 2021 |
Externally published | Yes |
Keywords
- selective deoxygenation
- computational fluid dynamics (CFD)
- catalyst deactivation
- green diesel