2023 AIChE Annual Meeting

Session: Data-driven and Surrogate Optimization in Operation II

Chair

Jiang, Z., Corteva Agriscience

Co-Chair

Charitopoulos, V., University College London

Presentations

12:30 PM

(347a) Combined Bayesian Optimization and Global Sensitivity Analysis for the Optimization of Simulation-Based Flowsheets
Triantafyllou, N., Shah, N., Kontoravdi, C., Papathanasiou, M.

12:51 PM

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

01:12 PM

(347c) Multiperiod Conceptual Design of Integrated Energy Systems with Market Interaction Surrogate Models
Chen, X., Tumbalam Gooty, R., Guittet, D., Knueven, B., Ghouse, J., Siirola, J., Gao, X., Susarla, N., Rawlings, E. S., Dowling, A., Miller, D., Bianchi, L., Beattie, K.

01:33 PM

(347d) Data-Driven Optimization of Mixed-Integer Nonlinear Integrated Planning and Scheduling Problems for Multiproduct Manufacturing Processes
Beykal, B., Charitopoulos, V., Avraamidou, S., Nikkhah, H.

01:54 PM

(347e) A Novel Methodology for the Identification of Complex Process Feasibility Regions
Geremia, M., Bezzo, F., Ierapetritou, M.

02:15 PM

(347f) Trust Region Formulations for Integrating Treatment in Produced Water Networks
Naik, S., Zamarripa, M. A., Drouven, M. G., Biegler, L.

02:36 PM

(347g) The Quantum Gaussian Process: Specialized Gaussian Process Modifications for Efficient Quantum-Classical Optimization
Sorourifar, F., Bernal Neira, D. E., Paulson, J., Chamaki, D., Tubman, N.