Surrogate model

The potential of hybrid mechanistic/data‐driven approaches for reduced dynamic modeling: application to distillation columns

Extensive literature has considered reduced, but still highly accurate, nonlinear dynamic process models, particularly for distillation columns. Nevertheless, there is a need for continuing research in this field. Herein, opportunities from the …

Hybrid mechanistic data-driven modeling for the deterministic global optimization of a transcritical organic Rankine cycle

Global optimization is desirable for the design of chemical and energy processes as design decisions have a significant influence on the economics. A relevant challenge for global flowsheet optimization is the incorporation of accurate thermodynamic …