Multiple Reaction Networks Involved in CO2 Oxidative Dehydrogenation of Butane to Olefins and Syngas: A Thermodynamic Analysis.
Saved in:
| Title: | Multiple Reaction Networks Involved in CO |
|---|---|
| Authors: | Magaji, Suleiman1,2 (AUTHOR), Malaibari, Zuhair1,2 (AUTHOR) zuhairom@kfupm.edu.sa, Zahid, Umer1 (AUTHOR) |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Dec2025, Vol. 50 Issue 24, p20563-20583. 21p. |
| Subjects: | Oxidative dehydrogenation, Butane, Thermodynamics, Reaction mechanisms (Chemistry), Gibbs' free energy, Simulation software, Alkenes |
| Abstract: | The CO2 oxidative dehydrogenation of butane (CO2 ODHB) to olefins offers a pathway for utilizing CO2 in producing value-added chemicals. This study conducted a thermodynamic process analysis using Aspen Plus software V9 via the minimization of Gibbs free energy approach. This provides insight into the effect of thermodynamic parameters on CO2 ODHB, which is currently lacking in the literature. The operation was carried out with a CO2/C4H10 ratio of (0.1–5.0), temperature (100–1100 °C), and pressure (0–50 bar) to study their effects on conversion and selectivity. There was a high conversion of butane for all CO2/C4H10 feed ratios, even at low temperatures below 400 °C. However, butadiene selectivity decreases as the ratio increases, indicating that CO2 promotes side reactions. The selectivity reaches its maximum at temperatures between 400 and 500 °C. Thus, operating with lower CO2/C4H10 ratios and temperatures above 400 °C is preferable for this process. Pressure has a negative effect on both the selectivity and conversion, making atmospheric pressure optimal for the process. The result when compared with the literature shows that for a CO2/C4H10 feed ratio of 2.0, the selectivity of butadiene was 27.4%, which corresponds to a value of 25% found in this study, which is an indication of strong agreement between the model and the experimental data. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | The CO2 oxidative dehydrogenation of butane (CO2 ODHB) to olefins offers a pathway for utilizing CO2 in producing value-added chemicals. This study conducted a thermodynamic process analysis using Aspen Plus software V9 via the minimization of Gibbs free energy approach. This provides insight into the effect of thermodynamic parameters on CO2 ODHB, which is currently lacking in the literature. The operation was carried out with a CO2/C4H10 ratio of (0.1–5.0), temperature (100–1100 °C), and pressure (0–50 bar) to study their effects on conversion and selectivity. There was a high conversion of butane for all CO2/C4H10 feed ratios, even at low temperatures below 400 °C. However, butadiene selectivity decreases as the ratio increases, indicating that CO2 promotes side reactions. The selectivity reaches its maximum at temperatures between 400 and 500 °C. Thus, operating with lower CO2/C4H10 ratios and temperatures above 400 °C is preferable for this process. Pressure has a negative effect on both the selectivity and conversion, making atmospheric pressure optimal for the process. The result when compared with the literature shows that for a CO2/C4H10 feed ratio of 2.0, the selectivity of butadiene was 27.4%, which corresponds to a value of 25% found in this study, which is an indication of strong agreement between the model and the experimental data. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 2193567X |
| DOI: | 10.1007/s13369-025-10184-z |
