Azwani, Alias and Mohamad Rizza, Othman (2019) Temperature control of vacuum dividing wall column – case study on oleochemical fatty acid fractionation. In: IOP Conference Series: Materials Science and Engineering; 1st Process Systems Engineering and Safety Symposium 2019, ProSES 2019 , 4 September 2019 , Kuantan, Pahang, Malaysia. pp. 1-8., 702 (1). ISSN 1757-8981 (Print); 1757-899X (Online)
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Abstract
Analysis of oleochemical compositions in distillation column often have large process delays. Inferential control is commonly used by means of stage temperature as the measured variable which provide more responsive in composition control. This work aims to evaluate the performance of temperature control in vacuum dividing wall column (VDWC) for fatty acid oleochemical fractionation. Product purity at 99% used as inferred parameter to determine the temperature. Sensitivity analysis was used to determine the relationship between stage and temperature difference for changes in the manipulated variables. The most sensitive tray was selected and implemented to a Distillate- Side Stream- Boilup (DSV) control configuration in Aspen Dynamics following the work by Othman (2019b). Controller adopted with PI and PID settings using Ziegler-Nichols (ZN) and Internal Model Control (IMC) tuning calculation method. Both methods were compared based on the settling time and overshoot. The best setting was then fine-tuned before tested to set point tracking without any disturbances. From the sensitive analysis, temperature at stage 6, 29 and 34 were selected used as controlled variable which inferred distillate, middle and bottom product purity at 99% respectively. PID controller setting based on ZN method provide the best setup with fastest settling time and smallest overshoot and provide good performance for set point tracking.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Oleochemical industry; DWC; Inferential control; Fatty acid |
| Subjects: | Q Science > QD Chemistry |
| Faculty/Division: | Faculty of Chemical and Process Engineering Technology |
| Depositing User: | Ms. Nurina Ezzaty Noor Izee |
| Date Deposited: | 16 Jun 2020 06:47 |
| Last Modified: | 16 Jun 2020 06:47 |
| URI: | http://umpir.ump.edu.my/id/eprint/27711 |
| Download Statistic: | View Download Statistics |
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