TY - JOUR
T1 - Controlled Inline Fluid Separation Based on Smart Process Tomography Sensors
AU - Sahovic, Benjamin
AU - Atmani, Hanane
AU - Sattar, Muhammad Awais A.
AU - Garcia, Matheus Martinez
AU - Schleicher, Eckhart
AU - Legendre, Dominique
AU - Climent, Eric
AU - Pedrono, Annaig
AU - Portela, Luis M.
AU - More Authors, null
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - CFD simulation
KW - Control systems
KW - Electrical tomography
KW - Inline fluid separation
KW - Wire-mesh sensor
UR - http://www.scopus.com/inward/record.url?scp=85082415282&partnerID=8YFLogxK
U2 - 10.1002/cite.201900172
DO - 10.1002/cite.201900172
M3 - Article
AN - SCOPUS:85082415282
SN - 0009-286X
VL - 92
SP - 554
EP - 563
JO - Chemie-Ingenieur-Technik
JF - Chemie-Ingenieur-Technik
IS - 5
ER -