Controlled Inline Fluid Separation Based on Smart Process Tomography Sensors

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Benjamin Sahovic - , Helmholtz-Zentrum Dresden-Rossendorf (Author)
  • Hanane Atmani - , Institut National Polytechnique de Toulouse (Author)
  • Muhammad Awais Sattar - , Lodz University of Technology (Author)
  • Matheus Martinez Garcia - , Delft University of Technology (Author)
  • Eckhart Schleicher - , Helmholtz-Zentrum Dresden-Rossendorf (Author)
  • Dominique Legendre - , Institut National Polytechnique de Toulouse (Author)
  • Eric Climent - , Institut National Polytechnique de Toulouse (Author)
  • Remi Zamansky - , Institut National Polytechnique de Toulouse (Author)
  • Annaig Pedrono - , Institut National Polytechnique de Toulouse (Author)
  • Laurent Babout - , Lodz University of Technology (Author)
  • Robert Banasiak - , Lodz University of Technology (Author)
  • Luis M. Portela - , Delft University of Technology (Author)
  • Uwe Hampel - , Chair of Imaging Techniques in Energy and Process Engineering (with HZDR), Helmholtz-Zentrum Dresden-Rossendorf (Author)

Abstract

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.

Details

Original languageEnglish
Pages (from-to)554-563
Number of pages10
JournalChemie-Ingenieur-Technik
Volume92
Issue number5
Publication statusPublished - 1 May 2020
Peer-reviewedYes

Keywords

Keywords

  • CFD simulation, Control systems, Electrical tomography, Inline fluid separation, Wire-mesh sensor