| Issue |
E3S Web Conf.
Volume 67, 2018
The 3rd International Tropical Renewable Energy Conference “Sustainable Development of Tropical Renewable Energy” (i-TREC 2018)
|
|
|---|---|---|
| Article Number | 01028 | |
| Number of page(s) | 6 | |
| Section | Smart Grid and Regulation | |
| DOI | https://doi.org/10.1051/e3sconf/20186701028 | |
| Published online | 26 November 2018 | |
Optimization of control performance on CO2 removal in subang field using model predictive control
Chemical Engineering Department, Universitas Indonesia, Depok, Indonesia
* Coresponding author: wahid@che.ui.ac.id
A model predictive control (MPC) is used to optimize the control performance on CO2 removal in Subang Field. MPC is implemented to control the feed gas pressure (PIC-1101), amine flow rate (FIC-1102), and makeup water flowrate (FIC-1103) to maintain CO2 concentration in sweet gas. MPC is built using the first-order plus dead time (FOPDT) models. The control performance tests are used set point (SP) tracking and disturbance rejection with the performance indicator is the integral of square error (ISE). The result show that the optimum setting of prediction horizon (P), horizon (M) and Time Sampling (T) in MPC are 9 1, 32 and 1 on PIC-1101; 34, 10 and 5 on FIC-1102 and 40, 10 and 5 on FIC-1103. Based on ISE values, the use of MPC can improve performance for set point tracking by 14.02% in PIC-1101, 76.74% in FIC-1102, and 16.31% in FIC-1103, the use of MPC can improve performance for disturbance rejection by 19.32% in FIC-1102, and 91.57% in FIC-1103, compared with the proportional-integral (PI) controller that used in the field.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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