AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression

AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression

Abstract Liquefied Petroleum Gas (LPG) recovery in debutanizer columns presents challenges in balancing operational efficiency and process stability under varying conditions. Conventional control strategies often fail to sustain optimal recovery. This study integrates process modeling and control, u...

Full description

Saved in:
Bibliographic Details
Main Authors: Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
LPG recovery
Response surface methodology
MPC controller
AI-enhanced MPC
Machine learning
Dynamic control
Online Access:https://doi.org/10.1038/s41598-025-13899-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-13899-z

Similar Items