Title of article :
Depressurization System by Coiled Pipes Applied to a High Pressure Process: Experimental Results and Modeling
Author/Authors :
Benjumea, J. M Department of Chemical Engineering and Food Technologies - Faculty of Sciences Agro-food International Excellence Campus CeiA3 - University of Cádiz, Spain , Sánchez-Oneto, J Department of Chemical Engineering and Food Technologies - Faculty of Sciences Agro-food International Excellence Campus CeiA3 - University of Cádiz, Spain , Portela, J. R Department of Chemical Engineering and Food Technologies - Faculty of Sciences Agro-food International Excellence Campus CeiA3 - University of Cádiz, Spain , Martínez de la Ossa, E. J Department of Chemical Engineering and Food Technologies - Faculty of Sciences Agro-food International Excellence Campus CeiA3 - University of Cádiz, Spain
Pages :
16
From page :
17
To page :
32
Abstract :
Background: The use of backpressure regulator valves is widespread in high-pressure processes both at laboratory and pilot plant scales, but being a single step for effluent depressurization, such valves may have some limitations at industrial scale. In an effort to improve the depressurization step, this work studies a system based on the pressure drop of a fluid that circulates through coiled pipes. Method: The equipment, based on three series of variable length coiled pipes, was installed to achieve depressurization of 240 bars in a SCWO pilot plant. Results: The experimental results were compared with those obtained by the modeling carried out using different friction factor correlations from the literature. Conclusion: Among all the correlations tested, the Lockhart–Martinelli correlation showed the best agreement with experimental data. However, it was necessary to obtain an appropriate C parameter to achieve a good agreement with experimental data.
Keywords :
Coiled pipes , Depressurization step , Experimental tests , Modeling , Lockhart–Martinelli correlation , SCWO plants
Journal title :
Open Chemical Engineering Journal
Serial Year :
2017
Full Text URL :
Record number :
2562572
Link To Document :
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