Please use this identifier to cite or link to this item: https://doi.org/10.1002/jctb.776
Title: Multi-objective optimization of venturi scrubbers using a three-dimensional model for collection efficiency
Authors: Ravi, G.
Viswanathan, S. 
Gupta, S.K. 
Ray, M.B. 
Keywords: Collection efficiency
Genetic algorithm
Multi-objective optimization
Pareto sets
Pressure drop
Venturi scrubber
Issue Date: Feb-2003
Source: Ravi, G., Viswanathan, S., Gupta, S.K., Ray, M.B. (2003-02). Multi-objective optimization of venturi scrubbers using a three-dimensional model for collection efficiency. Journal of Chemical Technology and Biotechnology 78 (2-3) : 308-313. ScholarBank@NUS Repository. https://doi.org/10.1002/jctb.776
Abstract: Multi-objective optimization of a venturi scrubber was carried out using a three-dimensional model for collection efficiency and non-dominated sorting genetic algorithm (NSGA). Two objective functions, namely (a) maximization of the overall collection efficiency, and (b) minimization of the pressure drop were used in this study. Three decision variables including two operating parameters, viz liquid-gas ratio and gas velocity in the throat, and the nozzle configuration, which takes into account the three-dimensional nature of the problem, were used in the optimization. Optimal design curves (non-dominated Pareto sets) and the values of the decision variables corresponding to optimum conditions on the Pareto set for a pilot-scale scrubber were obtained. The liquid to gas (L/G) ratio, which is a key decision variable that determines the uniformity of liquid distribution, and staggered nozzle configuration can produce uniform liquid distribution in the scrubber. Multiple penetration using nozzles of two different sizes in a triangular staggered arrangement can reduce liquid loading by as much as 50%, consequently reducing the pressure drop in the scrubber. © 2003 Society of Chemical Industry.
Source Title: Journal of Chemical Technology and Biotechnology
URI: http://scholarbank.nus.edu.sg/handle/10635/92481
ISSN: 02682575
DOI: 10.1002/jctb.776
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Apr 2, 2018

WEB OF SCIENCETM
Citations

1
checked on Apr 2, 2018

Page view(s)

34
checked on Apr 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.