Online dynamic optimization studies of catalyzed esterfication of propionic anhydride with 2-butanol in the presence of disturbance and uncertainty
| dc.contributor.author | Fakhrony Sholahudin Rohman | |
| dc.date.accessioned | 2021-05-17T05:05:34Z | |
| dc.date.available | 2021-05-17T05:05:34Z | |
| dc.date.issued | 2015-09-01 | |
| dc.description.abstract | In the presence of significant disturbance and uncertainty, a plant can suffer with the off-spec products which lead to significant loss in profit. To overcome those problems, the online dynamic optimization is the best strategy to be implemented. Consequently, in this study, the simple online dynamic optimization strategy namely cascaded-conditional based optimization has been proposed. In the cascaded-conditional based optimization framework proposed, the re-optimization and control problems are solved separately in two layers. The control problem is solved by using an adaptive PID controller. Meanwhile, the re-optimization problem solving includes conditional update and dynamic re-optimization mechanism. A simple trigger to activate the dynamic reoptimizer is introduced when a deviation of ±5% conversion occurred in the plant which acts as a conditional update. The dynamic re-optimization mechanism proposed also consists of estimator and dynamic re-optimizer. The embedded estimator is to provide the full information of current states and the control variable input as required in dynamic re-optimizer for computing the new optimal trajectory. To determine the most effective dynamic optimization technique, an offline dynamic optimization study has been carried out. Five dynamic optimization techniques namely control vector parameterization (CVP), orthogonal collocation (OC), multiple shooting (MS), differential evolution (DE) and hybrid strategy (HS) have been implemented to optimize three different objective functions, i.e. maximize conversion, minimize final time and maximize operation profit. The most effective optimal trajectories achieved are those obtained from OC in maximizing profit. The optimum value of conversion, final time and profit obtained from the OC are 99.9%, 60 min and RM12.84/min. Meanwhile, in order to determine the most effective estimator, derivative-free estimators, i.e. the scaled unscented Kalman filter (sUKF), the Divided Difference Kalman Filter (DDKF) and the Cubature Kalman Filter (CKF) have been evaluated in six different cases. The results showed that the CKF is the most effective estimators since it can give estimation with the highest degree accuracy with lowest RMSE for most cases tested. Finally, the proposed online dynamic optimization strategy has been implemented and evaluated in a Catalyzed Esterification of Propionic Anhydride with 2- Butanol. When the significant disturbance and uncertainty occurred, the proposed online dynamic optimization strategy manages to generate a new optimal trajectory to maintain the conversion within desired range (on-spec). | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/13421 | |
| dc.language.iso | en | en_US |
| dc.title | Online dynamic optimization studies of catalyzed esterfication of propionic anhydride with 2-butanol in the presence of disturbance and uncertainty | en_US |
| dc.type | Thesis | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: