oa South African Journal of Chemical Engineering - Hydrodynamic study of multi-stage plate column scrubber for removal of particulate
|Article Title||Hydrodynamic study of multi-stage plate column scrubber for removal of particulate|
|© Publisher:||South African Institution of Chemical Engineers (SAIChE)|
|Journal||South African Journal of Chemical Engineering|
|Affiliations||1 Indian Institute of Technology, 2 Indian Institute of Technology and 3 Indian Institute of Technology|
|Publication Date||Jan 2015|
|Pages||44 - 60|
|Keyword(s)||Fly ash, Hydrodynamics, Multi-tray wet scrubber, Pollution control and Pressure drop|
Air pollution, which is a threat to human health and to the natural environment, is growing worldwide day by day and the regulations for air pollutants made us to investigate an alternative method to control the emissions from industries, which is of low cost, simple design and of high performance. Plate scrubbers are medium level energy wet scrubbers which have enormous advantages in various chemical process industries for simultaneous removal of particulate matter and gas pollutants from effluent gas streams. A sieve plate scrubber has been modelled and installed in the lab scale. This paper presents the hydrodynamics of the three stage plate column wet scrubber which will be used to clean the synthesis gas by removing particulate matter and gaseous pollutants simultaneously. Experimental study has been done for the pressure drop (P) measurement at different liquid-gas ratios. The highest plate scrubber pressure drop is 1456 Pa, which is obtained at gas flow rate (QG) of 15.134x10-3 Nm3/s and liquid flow rate (QL) of 48.183x10-6 m3/s with 7.5x10-3 kg/m3 inlet fly ash loading (Si) and it is a medium value when compared to other type of scrubbers. The effect of different variables such as inlet flow rates of air and liquid, and inlet fly ash loading on the hydrodynamics was keenly observed. A model has been suggested for the prediction of pressure drop for which the values from the experimental study and predicted values matched with attainable standard deviation and percentage error.
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