5 papers
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach
Mehmet Velioglu, Song Zhai, Alexander Mitsos +3
Separating liquid-liquid dispersions in gravity settlers is critical in chemical, pharmaceutical, and recycling processes. The dense-packed zone height is an important performance…
Optimal Design and Flexible Operation of a Fully Electrified Biodiesel Production Process
Mohammad El Wajeh, Adel Mhamdi, Alexander Mitsos
The flexible operation of electrified chemical processes, powered by renewable electricity, offers economic and ecological incentives, paving the way for a more sustainable chemica…
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi +3
Diverse domains of science and engineering use parameterised mechanistic models. Engineers and scientists can often hypothesise several rival models to explain a specific process o…
Optimal operating policies for organic Rankine cycles for waste heat recovery under transient conditions
Yannic Vaupel, Wolfgang R. Huster, Adel Mhamdi +1
Waste heat recovery for trucks via organic Rankine cycle is a promising technology to reduce fuel consumption and emissions. As the vehicles are operated in street traffic, the hea…
Adaptive Learning of Hybrid Models for Nonlinear Model Predictive Control of Distillation Columns
Jannik T. Lüthje, Jan C. Schulze, Adrian Caspari +3
Nonlinear model predictive control (NMPC) requires accurate and computationally efficient plant models. Our previous work has shown that the classical compartmentalization model re…