1. Yulong Liu 2012.11.27 Journal Report

2. Nonlinear Wave Modeling and Dynamic Analysis of Internal Thermally Coupled Distillation Columns Xinggao Liu, Yexiang Zhou, and Lin Cong Dept. of Control Science and Engineering, State Key Laboratory of Industrial Control Technology,Zhejiang University, Hangzhou 310027, People’s Republic of China Jie Zhang School of Chemical Engineering and Advanced Materials, University of Newcastle, Newcastle, Newcastle upon Tyne NE1 7RU, U.K. AIChE Journal April 2012 Vol. 58, No. 4

3. Itroduction Internal thermally coupled distillation column (ITCDIC) is a frontier in the energy saving distillation research. A physical approach of the ITCDIC process based on nonlinear wave theory is explored. The internal thermal coupling results in mole flow rates varying evidently over each stage. Waves located in the rectifying section and stripping section travel under opposite tendencies when the steady state is disturbed by the step change of thermal condition q.

4. Schematic and Principles of the Ideal ITCDIC

5. Generalized wave velocity of ITCDIC The wave velocity is driven by two effects: The net flow of the light component to or from the column section w 1 (t), w 2 (t); The influence of the shapes of the two concentration profiles Φ 1 (t), Φ 2 (t).

6. Generalized wave velocity of ITCDIC

7. Traveling tendency of the wave profile

8. Optimization and Control of Pressure Swing Adsorption Processes Under Uncertainty Harish Khajuria and Efstratios N. Pistikopoulos Centre for Process System Engineering, Dept. of Chemical Engineering, Imperial College, London SW7 2AZ, U.K. AIChE Journal 2012 Vol. 00, No. 0

9. Itroduction Pressure swing adsorption (PSA) is at the forefront of gas separation technology. A detailed optimization-based approach for simultaneously incorporating PSA design, operational, and control aspects under the effect of time variant and invariant disturbances. It is applied to a two-bed, six-step PSA system represented by a rigorous mathematical model. Achieving a closed loop product H 2 purity of 99.99%, for separating 70% H 2, 30% CH 4 feed.

10. PSA Modeling details Each bed is undergoing a cyclic operation comprising six processing steps and contains activated carbon as the adsorbent.

11. Computational Results and Discussions Moving from PE step to PRES step. In fact detailed calculations performed shows that the C CH4 increases twice as fast as Q CH4.

12. Comparisons with a Sequential Strategy It shows that with the sequential design and control (SQDC)approach, the product purity goes to very low values of 99.985% in the first few cycles. It can also be seen that lowering ε c improves the purity response a lot in terms of reducing the oscillatory effect.

13. MPC for PSA The comparison shows that the mp-MPC controller provides much more robust response in terms of less oscillatory behavior in purity response.