Controlled inline fluid separation based on smart process tomography sensors

Benjamin Sahovic (1) , Hanane Atmani (2) , Muhammad Awais A. Sattar (3) , Matheus Martinez Garcia (4) , Eckhart Schleicher (1) , Dominique Legendre (2) , Eric Climent (2) , Rémi Zamansky (2) , Annaïg Pedrono (2) , Laurent Babout (3) , Robert Banasia (3) , Luis Portela (4) , Uwe Hampel (1, 5)

1 HZDR - Helmholtz-Zentrum Dresden-Rossendorf
2 IMFT - Institut de mécanique des fluides de Toulouse
3 TECHNICAL UNIVERSITY OF LODZ POL
4 TU Delft - Delft University of Technology
5 TU Dresden - Technische Universität Dresden = Dresden University of Technology

Today's mechanical fluid separators in industry are mostly operated without any control to maintain efficient separation for varying inlet conditions. Controlling inline fluid separators, on the other hand, is challenging since the process is very fast and measurements in the multiphase stream are difficult as conventional sensors typically fail here. With recent improvement of process tomography sensors and increased processing power of smart computers, such sensors can now be potentially used in inline fluid separation. Concepts for tomography‐controlled inline fluid separation were developed, comprising electrical tomography and wire‐mesh sensors, fast and massive data processing and appropriate process control strategy. Solutions and ideas presented in this paper base on process models derived from theoretical investigation, numerical simulations and analysis of experimental data.

Mots clés: CFD simulation; Control systems; Electrical tomography; Inline fluid separation; Wire-mesh sensor

Domaines: Mécanique des fluides [physics.class-ph]

Benjamin Sahovic, Hanane Atmani, Muhammad Awais A. Sattar, Matheus Martinez Garcia, Eckhart Schleicher, et al.. Controlled inline fluid separation based on smart process tomography sensors. Chemie Ingenieur Technik, 2020, 92 (5), pp.554-563. ⟨10.1002/cite.201900172⟩. ⟨hal-03181083⟩