749 Real-Time Optimization of Operations


Description:
Advances in Process Systems Engineering tools and methodologies, combined with advances in computer hardware and the ever-growing digital infrastructure installed on today's physical assets, have opened up many opportunities for the optimization of system operations in real, or near real, time. This session invites papers contemplating effective frameworks to achieve such levels of automation in the decision-making associated with operating physical systems that lie within the whole spectrum of operations of the process industries. Topics of interest include but are not limited to new algorithms for real-time optimization, the development of dynamic models and simulation tools to support the implementation of the latter, the incorporation of schemes to insure against system uncertainty, as well as applications demonstrating the effectiveness of the above in existing real-life contexts.

Sponsor:
Computers in Operations and Information Processing


Chair:
Dimitrios Varvarezos
Aspen Technology

Email: dimitrios.varvarezos@aspentech.com

Co-Chair:
Ali Mesbah
Assistant Professor
University of California - Berkeley
Department of Chemical and Biomolecular Engineering
Berkeley, CA
94720
Email: mesbah@berkeley.edu


Papers:
A Generalized State-Space Model for Online Scheduling
Dhruv Gupta, University of Wisconsin-Madison; Christos T. Maravelias, University of Wisconsin-Madison
Integration of Automation Logic and Scheduling for Real-Time Batch Chemical Plant Optimization
Venkatachalam Avadiappan, University of Wisconsin – Madison; Blake C. Rawlings, The University of Michigan-Ann Arbor; Christos T. Maravelias, University of Wisconsin-Madison; Stephane Lafortune, University of Michigan; John M. Wassick, The Dow Chemical Company; William Edsall, The Dow Chemical Company; Adam Kelloway, The Dow Chemical Company; Bao Lin, The Dow Chemical Company; Naresh N. Nandola, Siemens; Mathias Hakenberg, Siemens
Dynamic Real-Time Optimization of a Coal-Fired Power Plant Using an Artificial Neural Network Model
Jacob F. Tuttle, University of Utah; Mostafa Safdarnejad, University of Utah; Kody Powell, University of Utah
Efficient Real Time Optimization Using Approximate Dynamic Programming
Jasper Kelly, California State University Long Beach; Isaac Oboka, California State University Long Beach; Yu Yang, California State University Long Beach
An Overview and Evaluation of Approaches for Online Process Optimization
Dinesh Krishnamoorthy, Norwegian University of Science and Technology; Bjarne Foss, Norwegian University of Science and Technology; Sigurd Skogestad, Norwegian University of Science and Technology
Using Embedded Hardware for on-Line Steady State Optimization of a Single-Bed Rapid Pressure Swing Adsorption System
Matthew Urich, Lehigh University; Rama Rao Vemula, Lehigh University; Mayuresh V. Kothare, Lehigh University
Accelerated Parallel Alternating Method of Multipliers (ADMM) for Distributed Optimization
Wentao Tang, University of Minnesota, Twin Cities; Prodromos Daoutidis, University of Minnesota
Dynamic Modeling for Improved Operation and Control of a Supercritical CO2 Brayton Power Cycle
Stephen E. Zitney, National Energy Technology Laboratory; Eric A. Liese, National Energy Technology Laboratory; Priyadarshi Mahapatra, National Energy Technology Laboratory; Jacob Albright, National Energy Technology Laboratory
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division