2020 Virtual AIChE Annual Meeting

Session: Interactive Session: Systems and Process Control

Chair

Antonios Armaou, The Pennsylvania State University

Co-Chair

Presentations

08:00 AM

(340h) Multi-Rate Data-Driven Models for Lactic Acid Fermentation - Parameter Identification and Prediction
Jingwei Gan, Satish Parulekar
(340n) Simultaneous Economic Optimization of Organic Rankine Cycle with Working Fluids Selection and Heat Integration
Xuan Dong, Zuwei Liao, Jingyuan Sun, Binbo Jiang, Jingdai Wang, Yongrong Yang
(340t) Process Data Analytics and Representation Learning to Predict Arc Loss in an Electric Furnace
Ibrahim Yousef, Bhushan Gopaluni, Lee Rippon, Sirish L. Shah, Jean-Francois Beaulieu, Carole Prévost
(340i) Multi-Objective and Hierarchical Explicit Model Predictive Control
Iosif Pappas, Styliani Avraamidou, Justin Katz, Nikolaos A. Diangelakis, Efstratios Pistikopoulos
(340q) Subspace-Based Model Identification for Wastewater Treatment
Emma Hermonat, Prashant Mhaskar, Rajeev Goel, Spencer Snowling
(340k) Subspace Model Identification and Model Predictive Control of an Industrial Ethylene Splitter
Mahir Jalanko, Prashant Mhaskar, Vladimir Mahalec
(340f) Assessing the Response of Dynamic Catalytic Surfaces
Georgios Psarellis, M. Alexander Ardagh, Paul Dauenhauer, Ioannis G. Kevrekidis
(340l) Simultaneous Design, Control and Selection of Finite Elements: A Hamiltonian Function-Profile-Based Approach.
Oscar Palma-Flores, Luis Ricardez-Sandoval
(340c) Control Strategies for a Vapour Compression Refrigeration System Used in Mango Exports: An Alternative to Traditional on-Off Controllers
Manuel Merino, Laura Carrasco, Bogdan Dorneanu, Jose Manrique, Robert Menzhausen, Harvey Arellano-Garcia, William Ipanaque
(340o) Multi-Objective Design Optimisation of a Distributed Energy System through 3E (economic, environmental and exergy) Analysis
Sayeef Miah, Bogdan Dorneanu, Evgenia Mechleri, Harvey Arellano-Garcia
(340d) Data-Driven Nonlinear System Identification of Covid-19 Pandemic Behaviour
Sarmilan Santhakumaran, Yuri Shardt
(340e) Learning Coarse-Grained Partial Differential Equations from Fine-Scale Data Via Machine Learning
Seungjoon Lee, Georgios Psarellis, Constantinos Siettos, Felix Dietrich, Ioannis G. Kevrekidis, Hassan Arbabi, Giovanni Samaey
(340g) White-Box Machine Learning Approaches to Identify Governing Equations for Dynamics in Complex Manufacturing Systems and Their Comparison: A Study on Distillation Column
Raghav Moar, Renganathan Subramanian, Shweta Singh
(340s) Moving Horizon Demand Response Scheduling Subject to Exogenous Uncertainties
Morgan Kelley, Ross Baldick, Michael Baldea
(340j) Dynamic Modeling of the Industrial Methanol-to-Olefins (MTO) Process
Liang Wang, Zhihong Yuan
(340b) Dynamic Operability Analysis of a Natural Gas Combined Cycle Power Plant Using a Novel Branch and Bound Method
San Dinh, Fernando V. Lima
(340a) Comparison of Advanced Set-Based Fault Detection Methods with Classical Data-Driven and Observer-Based Methods for Nonlinear and Uncertain Chemical Processes
Bowen Mu, Xuejiao Yang, Joe Scott
(340r) Advanced Control Strategies for Improved Subcritical Power Plant Cycling
Daniel Kestering, Selorme Agbleze, David Tucker, Lawrence J. Shadle, Fernando V. Lima
(340p) Safe Operation of Floating LNG Tank Via Model Predictive Control
Sungwon Hwang, Joseph Kwon, Yeonpyeong Jo, Silabrata Pahari, Mohammed Saad Faizan Bangi
(340m) A Method of Community Detection in Complex Weighted Networks
Masoud Soroush, Leila Samandari Masooleh, Warren Seider, Jeffrey E. Arbogast, Ulku Oktem