Heat Duty, Cyclic Capacity and Rate of Desorption for MDEA Activated by Novel Polyamines for Natural Gas Sweetening
Notice bibliographique
Résumé
This study focused on finding suitable activators to be blended with aqueous MDEA for use in natural gas sweetening. Polyamines are promising amines for capture of CO2 efficiently as they contain more than one amino group in their structures. Polyethylenimine (PEI-B) and Tetraethylenepentamine (TEPA) were chosen and screened to investigate their performance as efficient activators for MDEA. PEI-B and TEPA were compared with piperazine (PZ) which is currently used as the standard activator of MDEA. The screening experiments were carried out using a simple absorption and desorption setup at atmospheric pressure. This setup was validated using 5 M MEA with 100 mol% CO2 and the equilibrium rich loading was in a good agreement with the literature (Shen and Li, 1992) with a deviation of 5%. Single polyamines (PZ, TEPA and PEI-B) were tested at dilute concentration (0.01 M) using 100 mol% CO2 to investigate their performance at low viscosity in liquid phase as well as at zero resistance in the gas phase. The absorption and desorption temperatures were 40 and 100 ◦C respectively. Also, the individual single polyamines were tested at higher concentrations (0.1, 0.3 and 0.5 M) using a feed gas with 50% CO2 content (balance is N2) to investigate their capacity at higher viscosity and higher gas resistance in the liquid and gas phases, respectively. Moreover, the activators (PZ, TEPA and PEI-B) were blended with MDEA and screened using 100 mol% CO2. In MDEA blends, the concentration of MDEA was kept constant at 3 M (34 wt%) whereas the concentration of the activators was varied as 0.1, 0.2 and 0.3 M. The reproducibility of the results in the screening set up was within 1%. The screening experiments focused on absorption and desorption parameters which include rich loading, lean loading, cyclic capacity, desorption rate and heat duty. In the results of screening experiments, PEI-B performed the best as an individual amine as well as in blends with MDEA as compared with TEPA or PZ in all absorption and desorption parameters. Also, PEI-B gave the lowest heat duty using individual single solutions and in blends with MDEA as compared with TEPA or PZ. Furthermore, MDEA blends with PZ, TEPA and PEI-B were also investigated in a bench-scale pilot plant. The pilot plant was validated using 5 M MEA at 15 mol% CO2 and the rich loading was compared with the standard rich loading of 5 M MEA. The deviation obtained was 3%. Two blending ratios of 0.1 M/3 M and 0.3 M/3 M (activator/MDEA) were chosen to be used in the small pilot plant studies. The CO2 contents of 20, 50, 70 and 100% were applied in the pilot plant. The absorber column was operated at a pressure of 1 bar while the regenerator as well as the reboiler were operated at 2 bar. The results also showed a superior performance of PEI-B blends in all absorption and desorption parameters followed by TEPA blends and then PZ blends. The reproducibility of the experimental results obtained from the pilot plant was within 8%. PEI-B blends displayed the lowest heat duty among all tested blends. Furthermore, the NMR analysis was used to investigate the possible products at different CO2 loadings in 0.1 M PEI-B and 0.1 M PZ single amines as well as in blends with 3 M MDEA. Also, a heat duty model was developed based on the results obtained from the pilot plant and the structural properties of the amines. The model showed an acceptable average absolute deviation (7%). Moreover, a preliminary cost analysis was performed to evaluate the total cost (capital and operating costs) for PZ blends and PEI-B blends at 20, 50 and 70 mol% CO2. This economic analysis showed that PEI-B blends exhibited lower total costs than PZ blends.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».