Effect of Process-Condition-Dependent Chain Growth Probability and Methane Formation on Modeling of the Fischer–Tropsch Process
| Autor: | Maki Matsuka, Katsuya Shimura, Tomohisa Miyazawa, Satoshi Hirata, Roger David Braddock, Toshiaki Hanaoka |
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| Rok vydání: | 2016 |
| Předmět: |
Chemistry
General Chemical Engineering Kinetics Energy Engineering and Power Technology Thermodynamics Fischer–Tropsch process 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Methane Product distribution 0104 chemical sciences chemistry.chemical_compound Fuel Technology Adsorption Chain (algebraic topology) Scientific method Sensitivity (control systems) 0210 nano-technology |
| Zdroj: | Energy & Fuels. 30:7971-7981 |
| ISSN: | 1520-5029 0887-0624 |
| Popis: | The Fischer–Tropsch (FT) process can be described by the Anderson–Schulz–Flory model, although it does not handle the methane kinetics accurately. The value of chain growth probability (α) in the model is largely dependent upon the process conditions. The purpose of the research is to combine a CH4 kinetic model and process-condition-dependent chain growth probability α model and to calibrate the model parameters against experimental data from the literature. The combined model clearly improved the model predictions when compared to experimental data. Sensitivity analysis of the combined model showed the importance of adsorption coefficients to the outputs from the combined model. Testing the reactor temperature and feedstock composition shows that the outputs can be optimized, depending upon the length of carbon chains required in the output, and also suggested the importance of incorporating the effects of process conditions in the modeling of the FT product distribution. |
| Databáze: | OpenAIRE |
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