Affiliations:  
Project Leader:  Akhil Arora akhilarora619@tamu.edu Chemical Engineering 
Faculty Mentor:  M. M. Faruque Hasan, Ph.D. 
Meeting Times:

TBA 
Team Size:

3 (Team Full) 
Open Spots:  0 
Special Opportunities:

Possibility of coauthorship in journal publications. Conference presentations and attendance. Opportunity to explore the fields of mathematical modeling and numerical simulation. 
Team Needs:

The (preferable) skills include knowledge of mathematical modeling and numerical simulation, and programming in MATLAB 
Description:

“Process Intensification (PI) has emerged as an efficient strategy for developing sustainable and economicallyprofitable chemical processes by significantly reducing capital and operating costs incurred, wastes generated, utilities consumed and raw materials required. PI predominantly focuses on developing novel processes and intensified hardware by integrating multiple synergistic phenomena to produce desired chemical products. The sorptionenhanced membrane reactor (SEMR) is one such application of PI where both reaction and separation occur simultaneously in a single reactor column. Fundamentally, SEMR is based on the widelyfamous Le Chatelier’s principle which states that removing the reaction product(s) from a gas mixture pushes the reaction equilibrium in forward direction. SEMR integrates three different phenomena in a single column – (i) reaction promoted by respective catalyst, (ii) sorption promoted by a suitable sorbent, and (iii) permeation facilitated by membrane. Therefore, the SEMR column consists of solid sorbent and catalyst mixture, and a polymeric membrane. Due to the reaction product(s) removal by both sorbent and membrane, the equilibrium shifts in the forward direction, thereby producing the reaction product(s) with higher purity and productivity. As of now, we have already developed a generalized reactionadsorption modeling and simulation (GRAMS) framework for simulating hybrid reactionsorption systems. The objective of this project would be to extend the framework to include the physics introduced to the system by the addition of membrane separation. Initially, the project would require the students to obtain modeling equations for describing the SEMR systems. The students would then extend the GRAMS framework to introduce the membrane physics for simulating SEMR column using MATLAB. If time permits, inhouse blackbox optimization algorithms would then be used for optimizing the SEMR systems. “
