Page 17 - ESCAPE PROGRAMME

GREEN AND SUSTAINABLE PROCESS SYSTEMS ENGINEERING IN THE DIGITAL AGE
MONDAY, JUNE 19, 2023
Demand Response in Microgrids with Attention-Based Deep Reinforcement Learning
Jiahan Xie, Akshay Ajagekar, Fengqi You
Cornell University, Ithaca, NY 14853, USA
10:20 – 12:30 Templar Hall
An Approach to Dependable Hybrid Modeling with Application to an Industrial Distillation Column
Mohamed Elsheikha, Yak Ortmannsb, Felix Hechtb, Volker Roßmannb, Stefan Krämerab, Sebastian Engella
a Process Dynamics and Operations Group, TU Dortmund, 44227 Dortmund, Germany b Bayer AG, 51368 Leverkusen, Germany
A model predictive control framework for the production of functional, safe and sustainable nanomaterials
Argyri Kardamaki, Athanassios Nikolakopoulos, Mihalis Kavousanakis, Philip Doganis, Haralambos Sarimveis
9 Heroon Polytechniou Street, School of Chemical Engineering, National Technical University, Athens, Greece
Robust (explicit) optimization and control via Mixed Integer Programming
Nikolaos A. Diangelakisa, Iosif Pappasb,c, Efstratios N. Pistikopoulosb,c
a School of Chemical and Environmental Engineering, Technical University of Crete, Chania, 73100, Greece b Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77845, USA c rTexas A&M Energy Institute, Texas A&M University, College Station, TX, 77845, USA
Symbolic regression based interpretable data-driven soft-sensor for process quality control
Harry Kaya, Sam Kaya, Max Mowbraya, Amanda Laneb, Cesar Mendozab, Philip Martina, Dongda Zhanga
a Department of Chemical Engineering, University of Manchester, Oxford Road, Manchester, M1 3AL, UK b Unilever Research Port Sunlight, Quarry Rd East, Bebington, CH63 3JW, UK
Study of Different Formulations for the Multiperiod Blending Problem Applied to Lithium Recovery from Produced Water
Daniel Ovallea, Joshua L. Pulsiphera, Camilo Gomezb, Jorge M. Gomezc, Carl D. Lairda, Markus G. Drouvend, Ignacio E. Grossmanna
a Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA b Department of Industrial Engineering, Universidad de Los Andes, Bogota, 111711, Colombia c Department of Chemical Engineering, Universidad de Los Andes, Bogota, 111711, Colombia d National Energy Technology Lab, Pittsburgh, PA 15236, USA
Artificial Neural Network-Based Real-Time PID Controller Tuning
Tate Bestwick, Kyle V. Camarda
University of Kansas, Department of Chemical and Petroleum Engineering, 1530 West 15th Street, Lawrence, Kansas 66045, United States
10:20 – 12:30 Attica Hall
Evaluating the potential of current and emerging alternatives to enable a Sustainable Circular Economy
Vyom Thakker1, Amrita Sen1, George Stephanopoulos2,3, Bhavik R. Bakshi1
1 William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 2 The Global KAITEKI Center, Arizona State University, Tempe, Arizona 85287, USA
3 Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
170
SESSION S1-02: Operations and Control (I)
Track 2
571
206
412
72
806
230
SESSION S1-03: Sustainable and Circular Systems (I)
Track 3
786
17