Year: 2025
Type: conference-paper
Abstract: The application of Real-time Optimization (RTO) to dynamic operations is challenging due to the complexity of the nonlinear problems involved, making it difficult to achieve robust solutions. The literature on RTO in Pressure Swing Adsorption (PSA) units relies on Model Predictive Control (MPC) and Economic Model Predictive Control (EMPC), which rely heavily on an accurate model representation of the industrial plant. Given the importance of PSA systems on multiple separation operations, establishing alternatives for control and optimization in real-time is in order. With that in mind, this work aimed to explore alternative model-free RTO techniques that depend on simple control elements, as is the case of Extremum Seeking Control (ESC).The chosen case study was Syngas Upgrading. Extremum Seeking Control successfully optimized the CO2�productivity in PSA units for syngas upgrading/H2�purification. The results demonstrate that ESC can be a valuable tool in optimizing and controlling PSA processes and does not require the unit to reach a Cyclic Steady State to adjust the operation.
Source: Systems and Control Transactions
DOI: 10.69997/sct.195447
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Awards: G2375406851, ALICE - Laboratório Associado em Engenharia Química, G2782804314, G3537227798, G385724630, G4161343291, G4316116677, Adaptive Real-time Optimization of Cyclic Adsorption Processes with Dynamic Design for Autonomous Scenario-based Reconfiguration, Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais, Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais, G6701175450, G6997658380, G736619932
OpenAlex ID: W4411783299