Modeling, Control and Optimization of Energy Systems

Chair(s):
Ellis, M., University of California, Davis
Co-chair(s):
Dowling, A., University of Notre Dame

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.

Papers:
8:00 AM
(596a) Nonlinear Programming Strategies for Optimization of Dynamic Chemical Looping Reactor Models
8:15 AM
(596b) Optimal Control of Chemical Looping Reactors for Process Intensification of Natural Gas Upgrading
8:30 AM
(596c) An Integrated Approach for Real-Time Economic Optimization, State Estimation, and Control for a Post-Combustion Carbon Capture Absorber Section Under Uncertainty
8:45 AM
(596d) Enhancing Glucose Yield By Modeling of Cellulose Accessibility: Application of Model Predictive Control to Alkaline Pretreatment for Bioethanol Production
9:00 AM
(596f) Machine Learning Based Real-Time Optimization of Multi-Cell Industrial Evaporative Cooling Tower
9:15 AM
(596g) Recurrent Neural Network-Based Economic Model Predictive Control Framework Applied to a Building HVAC System
9:30 AM
(596h) Using Residual Neural Networking and Lagrange Optimization to Predict Cooling Demand and Calculate Optimal Chiller Settings
Topics: 
Process Automation & Control
Process Design & Development

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Individuals

AIChE Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00