300 Refining and Petrochemical Plant Modelling and Operations Improvements I


Description:
This session covers the application of models to improve operational effectiveness in the process industries, covering refining, petrochemicals, gas processing and upstream production. The applications may be online or offline, and cover such areas as optimization, process monitoring, and fault detection. The modeling approach may be empirical (including neural networks), first principles, or grey box. We particularly encourage contributions which use plant operating data to build models required for operations improvement.

Sponsor:
Fuels and Petrochemicals Division
Co-Sponsor(s):
Distillation and Absorption (02A)


Chair:
Vladimir Mahalec
Prof.
McMaster University
Chemical Engineering
1280 Main St West
Hamilton, ON
L8S 4K1
Fax Number: 905-528-7901
Email: mahalec@mcmaster.ca

Co-chairs:
Wenli Du
Professor
East China University of Science and Technology
Shanghai
Email: wldu@ecust.edu.cn

Mark Darby
Principal
CMiD Solutions
13106 Dogwood Blossom Trail
Houston, TX
77065
Phone Number: 713-927-8709
Email: darbymark@sbcglobal.net


Papers:
Integration of Crude-Oil Scheduling and Refinery Planning By Lagrangean Decomposition Approach
Haokun Yang, Carnegie Mellon University; David E. Bernal, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University
Optimal Production and Maintenance Scheduling in Olefin Plants
Min Chen, Lamar University; Qiang Xu, Lamar University; Wang Zhenlei, East China University of Science and Technology
Novel Steady State Process Modeling Methodology for Pressure Swing Adsorption
Michael Sees, Texas Tech University; Toni Kirkes, Texas Tech University; Taehun Kim, Clemson University; Joseph Scott, Clemson University; Chau-Chyun Chen, Texas Tech University
Abstract Submissions Closed
See more of this Group/Topical: Fuels and Petrochemicals Division