2023 AIChE Annual Meeting

Session: Data-driven and Surrogate Optimization in Operation II

Chair

Zheyu Jiang, Corteva Agriscience

Co-Chair

Vassilis Charitopoulos, University College London

Presentations

12:30 PM

(347a) Combined Bayesian Optimization and Global Sensitivity Analysis for the Optimization of Simulation-Based Flowsheets
Niki Triantafyllou, Nilay Shah, Cleo Kontoravdi, Maria Papathanasiou

12:51 PM

(347b) Sampling-Based Vs. Surrogate-Based Techniques for Data-Driven Optimization: A Comparative Study of Adaptive Sampling and Hybrid-Modeling Approaches
Zachary Kilwein, Suryateja Ravutla, Fani Boukouvala

01:12 PM

(347c) Multiperiod Conceptual Design of Integrated Energy Systems with Market Interaction Surrogate Models
Xinhe Chen, Radhakrishna Tumbalam Gooty, Darice Guittet, Bernard Knueven, Jaffer Ghouse, John Siirola, Xian Gao, Naresh Susarla, Edna Soraya Rawlings, Alexander Dowling, David Miller, Ludovico Bianchi, Keith Beattie

01:33 PM

(347d) Data-Driven Optimization of Mixed-Integer Nonlinear Integrated Planning and Scheduling Problems for Multiproduct Manufacturing Processes
Burcu Beykal, Vassilis Charitopoulos, Styliani Avraamidou, Hasan Nikkhah

01:54 PM

(347e) A Novel Methodology for the Identification of Complex Process Feasibility Regions
Margherita Geremia, Fabrizio Bezzo, Marianthi Ierapetritou

02:15 PM

(347f) Trust Region Formulations for Integrating Treatment in Produced Water Networks
Sakshi Naik, Miguel A. Zamarripa, Markus G. Drouven, Lorenz Biegler

02:36 PM

(347g) The Quantum Gaussian Process: Specialized Gaussian Process Modifications for Efficient Quantum-Classical Optimization
Farshud Sorourifar, David E. Bernal Neira, Joel Paulson, Diana Chamaki, Norman Tubman