2024 AIChE Annual Meeting

Session: 10B: Interactive Session: Systems and Process Control

This poster session showcases contributions pertaining to the development of new process control methods and/or the application of control methods to novel processes and industrial applications. It also welcomes contributions related to the application of AI/ML technologies for control and estimation.

Chair

Co-Chairs

Helen Durand, Wayne State University
Utkarsh Shah, The Ohio State University

Presentations

(372h) Understanding and Modeling Corrosion in CO2 Transportation Pipelines: Findings from the Carbon Adapt Project
Tanmay Chaturvedi, Maciej Zychowski, Mohammad Ostadi, Dennis S. Hansen, Mads V. Bram, Simon Pedersen
(372z) Time Series Modelling of an Industrial Desiccant Dryer
Ece Serenat Köksal, Sida Chai, Erdal Aydin, Mehmet Mercangöz
(372n) Development of a Curie Pendulum-Based, Non-Electrical Temperature Control for Thermal Cyclers
Anil Reddy Soreddy, Aashish Priye
(372aa) Fixed/Mobile Detector Placement Optimization and Validation System Using Differentiable Physics-Based Surrogate Models for Chemical Leak Dispersions
Kangseop Kim, Dongil Shin
(372am) Learning Production Planners’ Unknown Objectives Via Inverse Optimization
Shivi Dixit, Rishabh Gupta, Adam Kelloway, Kyle Harshbarger, John Wassick, Qi Zhang
(372a) Automation and Control of Continuous Countercurrent Tangential Chromatography
Jie Wang, Anish Dighe, Jing Guo, Richard Braatz
(372ab) Development of a Model Based on Deep Reinforcement Learning, Lstm Network, and TD3 Algorithm for Optimization and Control of MAb Production in Mammalian Cell Cultures
Essa Almutar, Satish Parulekar
(372g) Learning Based Real-Time Batch Tracking of Multi-Product Pipeline Systems
Lu Zhang, Junyao Xie, Stevan Dubljevic
(372s) Data-Driven Model for Boil-Off Gas Estimation in a Liquefied Natural Gas Regasification Terminal
Shweta Nagrale, Rajagopalan Srinivasan, Iftekar Karimi
(372c) Adaptive Model Predictive Control for Optimal Irrigation Scheduling
Jisung Jang, Di Tian, Q. Peter He
(372ac) Using Artificial Neural Networks to Predict Chemical System Stability for Design
Tate Bestwick, Kyle Camarda
(631b) Process Modeling and Optimal Operational Strategies for Integrated Chemical Looping Hydrogen Production and Biomass Gasification Under Feedstock Uncertainty
Byoungyoun Lee, Juyeong Jung, Seongmin Heo
(372ag) Variable Extraction and Equivalence Judgment with BERT Model Pre-Trained on Chemical Engineering-Related Papers
Shota Kato, Chunpu Zhang, Kotaro Nagayama, Manabu Kano
(372j) Digital Integration of Fermentation and Centrifugation Processes: Optimizing Pilot-Plant Biomanufacturing for Enhanced Efficiency
Alina Anamaria Malanca, Mads Stevnsborg, Adem Aouichaoui, Ryan Barton, Gary Gilleskie, Carina L. Gargalo, Krist V. Gernaey
(372u) Learning a Data-Driven Reactor Model from Experimental Data of a Continuously Operated Fixed-Bed CO2 methanation Reactor on Pilot-Scale
Alexander Geschke, Jens Bremer, Kai Sundmacher
(372t) Data-Driven Approach to Automated Reaction Process Analysis
Junu Kim, Itsushi Sakata, Eitaro Yamatsuta, Hirokazu Sugiyama
(372w) Design of Experiments Based on Precise Data-Quality Assessment Using Finite-Sample Data
Masanori Oshima, Sanghong Kim, Yuri Shardt, Ken-Ichiro Sotowa
(372ad) Leveraging Large Language Models for the Identification, Annotation, and Substrate Prediction of Transporter Proteins
Saman Shafaei, Huimin Zhao
(372v) Causality-Guided Observer Model Minimization of an Acetaminophen Chemical Production Process
William Farlessyost, Shweta Singh
(372o) Optimizing Affordable Electrified Multifamily Housing: A Novel Non-Cooperative Stackelberg Game Approach for Grid Profitability and Tenant Affordability
Matthew Williams, Ethan Gallup, Chris Parker, Blake Billings, Kody Powell
(372ah) Similarity-Based Machine Learning for Small Datasets; Application in Predicting Bio-Lubricant Properties
Jae Young Kim, Salman A. Khan, Dionisios Vlachos
(372af) Scheduling of State Task Network Under Uncertainty Via a Hybrid Reinforcement Learning Agent with Partial Observability
Daniel Rangel Martinez, Luis Ricardez-Sandoval
(372p) A Novel Bidding Methodology for Power Trading in a Local Energy Market
Ioanna Kalospyrou, Timothy Hutty, Robert Milton, Solomon F. Brown
(372b) Battery Thermal Management of Electric Vehicles through Optimal Control of Battery Cooling and Refrigerant Circuits
Hyungjun KIM, Changbeom Hong, Se-Kyu Oh, Daeki Hong, Jaewoong Kim, Yeonsoo Kim
(372al) Pinn-Based Modular Digital Twin Development for Sustainable Electroplating Manufacturing
Mahboubeh Moghadasi, Yinlun Huang
(372q) Multiscale Modelling of Trickle Bed Reactors for Biological Methanation
Sandro Malusà, Gianluca Boccardo, Daniele Marchisio
(372r) Numerical Investigation into the Gasification of Industrial Organic Waste in Entrained-Bed Reactors Utilizing Detailed Chemical Kinetic Mechanisms
Huiyang Bi, Shuyi Shen
(372e) Encrypted Distributed Control of Nonlinear Processes
Yash Kadakia, Fahim Abdullah, Aisha Alnajdi, Panagiotis Christofides
(372y) Invertible Neural Networks As Discrete Time Process Models for Correlated Non-Gaussian Noise
Eike Cramer
(372l) Accelerating Formulation Discovery Using First-Principles Hansen Solubility Parameter (HSP) and Optimization
Ashlesha Tiple, Kara Johnson, Rakesh Gummalla, Peter Koenig, Xueying Ko
(372k) Development of a Black-Box Parameter Estimation Methodology of a Batch Anti-Solvent Protein Crystallisation Process with Sparse Measurements
Daniele Pessina, Jerry Heng, Maria M Papathanasiou
(372d) Explicit Machine Learning-Based Model Predictive Control of Nonlinear Processes
Wenlong Wang, Yujia Wang, Yuhe Tian, Zhe Wu