التفاصيل البيبلوغرافية
| العنوان: |
Phase Equilibrium Calculation of Bio-Oil-Related Molecules Using Predictive Thermodynamic Models |
| المؤلفون: |
Amir Jalalinejad, Jaber Yousefi Seyf, Axel Funke, Nicolaus Dahmen |
| سنة النشر: |
2024 |
| المجموعة: |
Smithsonian Institution: Figshare |
| مصطلحات موضوعية: |
Biochemistry, Ecology, Science Policy, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, segment activity coefficient, isobaric data sets, 91 h ), 2543 data points, 157 ternary combinations, fastest model calculations, fast pyrolysis bio, 62 ternary systems, ternary mixtures relevant, large cpu time, group contribution models, phase equilibrium calculation, unifac model provides, sac model requires, oil molecules ), binary lle data, class ii mixtures, bio oil ), lowest deviation compared, dmd ), nist, cpu time, phase equilibrium, lowest deviation |
| الوصف: |
In the present study, predictive thermodynamic models including original UNIFAC, Dortmund-modified UNIFAC (UNIFAC-DMD), NIST-modified UNIFAC (NIST-UNIFAC), and the COSMO-segment activity coefficient (COSMA-SAC) were used to predict the phase equilibrium of binary and ternary mixtures relevant for the description of fast pyrolysis bio-oils. A total of 3371 binary vapor–liquid equilibrium (VLE) isothermal or isobaric data sets were used to study the predictive power of the investigated models. Based on the obtained deviation for VLE of binary mixtures, the NIST-UNIFAC is recommended for class I mixtures (including non-bio oil), while the COSMO-SAC model is suggested for class II mixtures (bio-oil molecules). In sequence, 62 available ternary vapor–liquid equilibrium (VLE) isobaric data including bio-oil-related and non-bio-oil molecules were used to investigate the models. Results showed that both the UNIFAC-DMD and NIST-UNIFAC provide the lowest deviation compared to UNIFAC and COSMO-SAC. Also, the COSMO-SAC model requires a large CPU time (51 min) for 62 ternary systems, while NIST-UNIFAC, with a CPU time of 13.2 s, allows the fastest model calculations. To further evaluate the ability of the models, 125 binary LLE systems with 850 binary data sets and 2543 data points were collected from the literature. In terms of CPU time, the group contribution models demand run times in the order of seconds, and those of COSMO-SAC require run times in the order of hours (1.91 h). Also, the NIST-UNIFAC model provides the lowest deviation (with a slight difference from the UNIFAC-DMD model) compared with other models. In many cases, the COSMO-SAC model cannot predict the phase separation of the binary LLE data. Finally, 157 ternary combinations with 276 experimental ternary LLE data were collected, and the results show that UNIFAC-DMD and NIST-UNIFAC are the models with the lowest deviation. In summary, according to the obtained results in VLE systems for the bio-oil-related molecules with polar and complex structures, the ... |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/journal_contribution/Phase_Equilibrium_Calculation_of_Bio-Oil-Related_Molecules_Using_Predictive_Thermodynamic_Models/25155498 |
| DOI: |
10.1021/acs.energyfuels.3c04395.s001 |
| الاتاحة: |
https://doi.org/10.1021/acs.energyfuels.3c04395.s001 |
| Rights: |
CC BY-NC 4.0 |
| رقم الانضمام: |
edsbas.B63F893F |
| قاعدة البيانات: |
BASE |