An overview of chemical process operation-optimization under complex operating conditions
With the increasing complexity of production requirements and the constant change of operating conditions, the optimization of process control systems (PCSs) has become an important issue in chemical industry production. Motivated by this urgent need, an overview of advanced real-time optimization,...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | Digital Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277250812500033X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | With the increasing complexity of production requirements and the constant change of operating conditions, the optimization of process control systems (PCSs) has become an important issue in chemical industry production. Motivated by this urgent need, an overview of advanced real-time optimization, model predictive control, and data-driven operation-optimization approaches is presented. In particular, our discussions highlight approaches that focus on typical problems such as dynamic and steady-state economic performance improvement, robust constraint satisfaction, stable and offset-free operation, and multi-mode operation, which should be addressed foremostly under complex operating conditions. The aim of this paper is to provide a better understanding of the methods and their parameter-tuning routines, which can be a reference for the readers to align the suitable techniques with the PCSs, according to the practical operation-optimization requirements in chemical processes. |
|---|---|
| ISSN: | 2772-5081 |