Please use this identifier to cite or link to this item:
|Title:||Optimization of venturi scrubbers using genetic algorithm|
|Source:||Ravi, G.,Gupta, S.K.,Viswanathan, S.,Ray, M.B. (2002-06-12). Optimization of venturi scrubbers using genetic algorithm. Industrial and Engineering Chemistry Research 41 (12) : 2988-3002. ScholarBank@NUS Repository.|
|Abstract:||Optimization of a venturi scrubber was carried out using a nondominated sorting genetic algorithm (NSGA). Two objective functions, namely, (a) maximization of the overall collection efficiency ηo and (b) minimization of the pressure drop Δp, were used in this study. Three decision variables, the liquid-gas flow ratio L/G, the gas velocity in the throat Vgth, and the aspect ratio Z were used. Optimal design curves (nondominated Pareto sets) were obtained for a pilot-scale scrubber. Values of the decision variables corresponding to optimum conditions on the Pareto set were obtained. It was found that the L/G ratio is a key decision variable that determines the uniformity of liquid distribution and the best values of L/G and Z are about 1.0 × 10-3 and 2.5, respectively. In addition, Vgth was found to vary from about 40 to 100 m/s as the optimal ηo on the Pareto increased (as did Δp) from about 0.6 to 0.98. The effect of adding a fourth decision variable, the throat length Lo, was also studied. It was found that this leads to slightly lower pressure drops for the same collection efficiency than obtained with three decision variables. An optimum length correlation for the throat of the venturi scrubber was obtained as a function of operating conditions. This study illustrates the applicability of NSGAs in solving multiobjective optimization problems involving gas-solid separations.|
|Source Title:||Industrial and Engineering Chemistry Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 24, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.