Open AccessModeling and Optimization on the Carbon Dioxide Separation from Natural Gas Using Hydrotalcite-Silica Membrane
Author(s) -
Ahmed Daham Wiheeb
Publication year - 2018
Publication title -
mağallaẗ diyālá li-l-ʿulūm al-handasiyyaẗ/mağallaẗ diyālá li-l-ʻulūm al-handasiyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2616-6909
pISSN - 1999-8716
DOI - 10.24237/djes.2018.11307
Subject(s) - permeance , carbon dioxide , hydrotalcite , central composite design , response surface methodology , selectivity , methane , membrane , materials science , chemical engineering , chromatography , chemistry , organic chemistry , engineering , catalysis , biochemistry
The process modeling and optimization of carbon dioxide (CO2) separation from carbon dioxide-methane (CH4) binary gas mixture through hydrotalcite (HT)-silica membrane using statistical design of experiments (DoE) is reported in this study. The effect of three important process variables, pressure difference across the membrane (100-500 kPa), temperature (30-190oC) and CO2 feed concentration (10-50%) on the CO2 separation performance of the membrane were investigated. The response surface methodology (RSM) coupled with central composite design (CCD) was used to build up two models to correlate the effect of process conditions to CO2 permeance and CO2/CH4 separation selectivity. The analysis of variance (ANOVA) of the quadratic model at 95% condence interval confirmed that the model was highly signicant. The CO2 feed concentration with 43% showed the best performance with a CO2 permeance of 6.0x10-7 mol.m-2.s-1.Pa-1 and a CO2/CH4 separation selectivity of 109 at 100 kPa pressure difference across the membrane and temperature of 30oC