596 Modeling, Control and Optimization of Energy Systems

Wednesday, November 18, 2020: 8:00 AM - 9:00 AM
Computing and Systems Technology Division (10) (PreRecorded+)

Description:
The session welcomes contributions that consider performing modeling, control and optimization tasks for energy systems. Theoretical, algorithmic and application contributions that highlight the intricacies related to energy systems are encouraged.

Sponsor:
Systems and Process Control
Chair:
Matthew J. Ellis Email: mjellis@ucdavis.edu
Co-Chair:
Alexander W. Dowling Email: alex@dowlinglab.org


(596a) Nonlinear Programming Strategies for Optimization of Dynamic Chemical Looping Reactor Models
Robert Parker and Lorenz T. Biegler


(596b) Optimal Control of Chemical Looping Reactors for Process Intensification of Natural Gas Upgrading
Ajay Ganesh, Vivek S. Pinnamaraju, Dionisios G. Vlachos and Babatunde A. Ogunnaike


(596c) An Integrated Approach for Real-Time Economic Optimization, State Estimation, and Control for a Post-Combustion Carbon Capture Absorber Section Under Uncertainty
Gabriel Patron and Luis A. Ricardez Sandoval


(596d) Enhancing Glucose Yield By Modeling of Cellulose Accessibility: Application of Model Predictive Control to Alkaline Pretreatment for Bioethanol Production
Hyun-Kyu Choi, Sang Hwan Son and Joseph Sang-Il Kwon


(596f) Machine Learning Based Real-Time Optimization of Multi-Cell Industrial Evaporative Cooling Tower
Landen Blackburn, Jacob F. Tuttle and Kody M. Powell


(596g) Recurrent Neural Network-Based Economic Model Predictive Control Framework Applied to a Building HVAC System
Matthew J. Ellis


(596h) Using Residual Neural Networking and Lagrange Optimization to Predict Cooling Demand and Calculate Optimal Chiller Settings
Nicholas Ziolkowski, Jonathan Samuel and Ethan Weiss
See more of this Group/Topical: Computing and Systems Technology Division
<< Previous Session | Next Session >>