TY - GEN
T1 - The control design optimization of gas processing plant based on plantwide control method
AU - Mujiyanti, Safira Firdaus
AU - Biyanto, Totok Ruki
AU - Pratama, I. Putu Eka Widya
AU - Kurniawan, Izef Aulia
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/5/22
Y1 - 2023/5/22
N2 - To extract gas from the production well, Gas Processing Plant needed to purify gas from dangerous compositions, such as CO2, H2S, and H2O. Gas Processing Plant divided into two plants, Gas Sweetening Plant to remove CO2 and H2S by amine liquid and Gas Dehydrating Plant to remove H2O by triethylene glycol (TEG) liquid. Because it's a crucial and complex process, control design must be implemented optimally. Learn more about gas extracting from production well, although, the control design has been installed in this plant, the uncertain gas mass flow rate from the production well can disturb the process. Amine and TEG liquid can be the outset of the desired setpoint, consequently the gas purifying does not run optimally. The uncertain gas mass flow rate as disturbance of process must be detected. It can be information for the actuator to adjust the liquids to minimize the disturbance effect. When the model of disturbance can be predicted, so the signal for the actuator will can be predicted too. The Model Predictive Control (MPC) design as supervisory control in the Plantwide Control (PWC) Method will be proposed in this research to optimize the control design of the Gas Processing Plant. PWC method consists of eight steps, wherein this method there is two layers of control, such as regulatory and supervisory control. PWC design gives the stability response, proven by maximum overshoot, steady-state error, settling time, and Integral Absolute Error (IAE). In economic calculation, the PWC design of the Gas Processing Plant can increase the profit 688.19 U$ per day. From the result, the control design optimization of Gas Processing Plant based on the PWC method has been applied successfully.
AB - To extract gas from the production well, Gas Processing Plant needed to purify gas from dangerous compositions, such as CO2, H2S, and H2O. Gas Processing Plant divided into two plants, Gas Sweetening Plant to remove CO2 and H2S by amine liquid and Gas Dehydrating Plant to remove H2O by triethylene glycol (TEG) liquid. Because it's a crucial and complex process, control design must be implemented optimally. Learn more about gas extracting from production well, although, the control design has been installed in this plant, the uncertain gas mass flow rate from the production well can disturb the process. Amine and TEG liquid can be the outset of the desired setpoint, consequently the gas purifying does not run optimally. The uncertain gas mass flow rate as disturbance of process must be detected. It can be information for the actuator to adjust the liquids to minimize the disturbance effect. When the model of disturbance can be predicted, so the signal for the actuator will can be predicted too. The Model Predictive Control (MPC) design as supervisory control in the Plantwide Control (PWC) Method will be proposed in this research to optimize the control design of the Gas Processing Plant. PWC method consists of eight steps, wherein this method there is two layers of control, such as regulatory and supervisory control. PWC design gives the stability response, proven by maximum overshoot, steady-state error, settling time, and Integral Absolute Error (IAE). In economic calculation, the PWC design of the Gas Processing Plant can increase the profit 688.19 U$ per day. From the result, the control design optimization of Gas Processing Plant based on the PWC method has been applied successfully.
KW - Disturbance
KW - Gas Processing Plant
KW - Model Predictive Control (MPC)
KW - Plantwide Control (PWC)
UR - http://www.scopus.com/inward/record.url?scp=85161533747&partnerID=8YFLogxK
U2 - 10.1063/5.0122335
DO - 10.1063/5.0122335
M3 - Conference contribution
AN - SCOPUS:85161533747
T3 - AIP Conference Proceedings
BT - Engineering Physics International Conference 2021, EPIC 2021
A2 - Tenggara, Ayodya Pradhipta
A2 - Siddiq, Nur Abdillah
A2 - Pinasti, Sita Gandes
A2 - Insyani, Rizki
A2 - Kurnia, Jundika Candra
A2 - Saha, Geetali
A2 - Moradi-Dastjerdi, Rasool
PB - American Institute of Physics Inc.
T2 - 3rd Engineering Physics International Conference, EPIC 2021
Y2 - 24 August 2021 through 25 August 2021
ER -