A new empirical correlation for prediction of carbon dioxide separation from different gas mixtures

作者：Amin, Javad Sayyad; Bahadori, Alireza^*; Kashiwao, Tomoaki; Ahmad, Zainal; Souraki, Behrooz Abbasi; Rafiee, Saeed

来源：Petroleum Science and Technology, 2016, 34(6): 562-569.

DOI：10.1080/10916466.2016.1148049

• CO2 separation
• hydrate
• promoters
• empirical correlation
• genetic algorithm

Carbon dioxide (CO2) emission from different systems such as fuel gas (H-2+CO2), flue gas (N-2+CO2), and biogas gas (CH4+CO2) is one of the main factors of global warming and environmental problems. So, CO2 separation from different systems is essential. Low energy consumption, environmental friendliness, and low operational cost of hydrate-based gas separation (HBGS) process show the high potential of this approach in separation of some gases such as CO2. Hydrate phase equilibrium data are required for designing the separation process. So far numerous models has been proposed for prediction of hydrate formation/dissociation conditions in various systems with/without promoters or inhibitors. This study attempts to present a simple and comprehensive model for fast prediction of hydrate formation conditions to separate CO2 from biogas, fuel gas, and flue gas systems in the presence of promoters such as tetra-n-butylammonium bromide, tetra-n-butylammonium chloride, tetra-n-butylammonium fluoride, tetra-n-butyl ammonium nitrate, and tetra-n-butylphosphonium bromide. According to the error analysis results, this point can reach the new proposed correlation has better estimation capability in comparison with Sayyad Amin etal. model. On the other hand, hydrate formation temperature can be predicted in the presented correlation with high accuracy.

• 出版日期2016