Estimating dense-packed zone height in liquid–liquid separation: A physics-informed neural network approach

Chemical Engineering Journal, vol. 541, pp. 177517

Abstract

• Phase heights in liquid–liquid separation are estimated from flow-rate data only. • A PINN is pretrained using synthetic data from a low-fidelity mechanistic model. • The pretrained PINN is then fine-tuned with scarce experimental settler data. • The trained PINN is embedded in a state estimation framework. • The two-stage trained PINN outperforms data-driven models in phase-height estimation.

Authors 6

1. Mehmet Velioglu Aachen

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Institute of Climate and Energy Systems, Energy Systems Engineering (ICE-1), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

   RWTH Aachen University, Aachen 52062, Germany

2. Song Zhai Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Fluid Process Engineering (AVT.FVT), Aachen 52074, Germany

3. Alexander Mitsos Aachen

   Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University

   Affiliation as printed

   Institute of Climate and Energy Systems, Energy Systems Engineering (ICE-1), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

   JARA-ENERGY, Jülich 52425, Germany

   RWTH Aachen University, Process Systems Engineering (AVT.SVT), Aachen 52074, Germany

4. Adel Mhamdi Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Process Systems Engineering (AVT.SVT), Aachen 52074, Germany

5. Andreas Jupke Aachen

   Forschungszentrum Jülich · RWTH Aachen University

   Affiliation as printed

   Institute for Bio- and Geosciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich 52425, Germany

   RWTH Aachen University, Fluid Process Engineering (AVT.FVT), Aachen 52074, Germany

6. Manuel Dahmen corresponding

   Forschungszentrum Jülich

   Affiliation as printed

   Institute of Climate and Energy Systems, Energy Systems Engineering (ICE-1), Forschungszentrum Jülich GmbH, Jülich 52425, Germany