RSM Modeling and Optimization of CO2 Separation from High CO2 Feed Concentration over Functionalized Membrane

Abstract

The challenges in developing high CO2 gas fields are governed by several factors such as reservoir condition, feed gas composition, operational pressure and temperature, and selection of appropriate technologies for bulk CO2 separation. Thus, in this work, we report an optimization study on the separation of CO2 from CH4 at high CO2 feed concentration over a functionalized mixed matrix membrane using a statistical tool, response surface methodology (RSM) statistical coupled with central composite design (CCD). The functionalized mixed matrix membrane containing NH2-MIL-125 (Ti) and 6FDA-durene, fabricated in our previous study, was used to perform the separation performance under three operational parameters, namely, feed pressure, temperature, and CO2 feed concentration, ranging from 3.5–12.5 bar, 30.0–50.0 °C and 15–70 mol%, respectively. The CO2 permeability and CO2/CH4 separation factor obtained from the experimental work were varied from 293.2–794.4 Barrer and 5.3–13.0, respectively. In addition, the optimum operational parameters were found at a feed pressure of 12.5 bar, a temperature of 34.7 °C, and a CO2 feed concentration of 70 mol%, which yielded the highest CO2 permeability of 609.3 Barrer and a CO2/CH4 separation factor of 11.6. The average errors between the experimental data and data predicted by the model for CO2 permeability and CO2/CH4 separation factor were 5.1% and 3.3%, respectively, confirming the validity of the proposed model. Overall, the findings of this work provide insights into the future utilization of NH2-MIL-125 (Ti)/6FDA-based mixed matrix membranes in real natural gas purification applications.

Ethylene Recovery via Pebax-Based Composite Membrane: Numerical Optimization

“…In contrast, increasing the operating pressure from 3.5 to 10.0 bar at a temperature of 25 • C led to the improvement of CO 2 /C 2 H 4 ideal selectivity by about 19.0%. This could be due to the improvement of CO 2 adsorption capacity as well as better compatibility between polymer and filler [14]. Furthermore, the maximum CO 2 /C 2 H 4 ideal selectivity of 3.52 is attained at a temperature of 25.0 • C and a feed pressure of 10.0 bar, as shown in Figure 3a.…”

“…The correlation between operational factors such as temperature and pressure and responses such as gas permeability and CO 2 /C 2 H 4 ideal selectivity was further investigated using a statistical method known as analysis of variance (ANOVA). The experimental data were fitted into model parameters specified in Equation ( 3) to link their appropriate responses over operating situations [14].…”

“…Permeability and ideal selectivity are the important characteristics to assess the membrane performances. These two significant responses are varied depending on the operating conditions, including temperature and pressure, which affect the gas solubility and diffusivity [14][15][16]. Hence, the optimization of the operating conditions will lead to the enhanced solubility and diffusivity parameters, resulting in an optimum membrane performance.…”

Artificial intelligence and response surface methodology to predict CO2 capture using piperazine‐modified activated alumina

“…RSM designs are used to find the optimal operational conditions, 35,51 the troubleshoot process problems and the weak points, and make a process more insensitive to external and noncontrollable influences. 52 Nowadays, RSM has been applied for modeling 39,[53][54][55][56] and optimization, 53,56,57 finding the effects of each parameters 58 on the CO 2 capture processes.…”