2023 AIChE Annual Meeting

Session: Design and Operations Under Uncertainty

Co-Chairs

Qi Zhang, University of Minnesota
Matthew Stuber, University of Connecticut

Presentations

03:30 PM

(400a) Efficient Flexibility Analysis of Computationally Expensive Black-Box Simulators Using Quantile-Based Bayesian Optimization
Akshay Kudva, Joel Paulson, Wei Ting Tang

03:52 PM

(400b) Multistage Robust Mixed-Integer Optimization for Industrial Demand Response with Interruptible Load
Jnana Sai Jagana, Satyajith Amaran, Qi Zhang

04:14 PM

(400c) Advances in Optimal, Individualized Drug Dosing Strategies, Based on Hybrid Models and Dynamic Optimization Under Uncertainty
Francesco Rossi, Linas Mockus, Zoltan Nagy, Gintaras V. Reklaitis

04:36 PM

(400d) Nonconvex Two-Stage Robust Optimization of an Amine-Based CO2 Capture System
Jason Sherman, Anca Ostace, Douglas A. Allan, Miguel A. Zamarripa, Andrew Lee, Chrysanthos Gounaris

04:58 PM

(400e) A Novel Volumetric Flexibility Index Calculation Method Using Physics-Informed Neural Networks
Zhongyu Zhang, Zukui Li, Shu-Bo Yang

05:20 PM

(400f) Characterization of Multistage Stochastic Programming Problems with Type II Endogenous Uncertainty to Develop Common Primal Bounding Approaches
Yasuhiro Sholi, Selen Cremaschi

05:42 PM

(400g) Design and Optimization of Modular Biorefinery Supply Chain Under Uncertainty
Yuqing Luo, Marianthi Ierapetritou