2009
DOI: 10.1016/j.cej.2009.02.025
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Determination of cost optimal operating conditions for decoloration and mineralization of C. I. Reactive Blue 268 by UV/H2O2 process

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Cited by 12 publications
(7 citation statements)
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“…Artificial neural networks can be used to investigate the influence of parameters on the process without understanding the actual phenomena [10]. To optimize costs or efficiency, response surface methodologies can be used [11,12]. Although these models are relatively easy to build, their value regarding AOP process design is rather limited.…”
Section: Omentioning
confidence: 99%
See 1 more Smart Citation
“…Artificial neural networks can be used to investigate the influence of parameters on the process without understanding the actual phenomena [10]. To optimize costs or efficiency, response surface methodologies can be used [11,12]. Although these models are relatively easy to build, their value regarding AOP process design is rather limited.…”
Section: Omentioning
confidence: 99%
“…The synthetic organic compound alachlor was used for this purpose [21]. The RSF was calculated from the absolute sensitivity function (ASF) using the finite forward difference method with a perturbation factor of 1x10 -6 (12) . This means that ASFs were calculated by perturbing the default parameter value with an amount equal to the perturbation factor times the default value:…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…Ante esta problemática, un punto muy importante para ofrecer una tecnología viable es la optimización del proceso H 2 O 2 /UV [6].…”
Section: N T R O D U C C I ó Nunclassified
“…[2]. Among AOPs, the UV/H 2 O 2 treatment was believed to be one of the most promising technologies, as no sludge is formed during the treatment, although it is relatively expensive in comparison to the conventional purification processes [7]. Thus, to offer a technology that is industrially applicable and cost-effective, the UV/H 2 O 2 process needs to be optimized.…”
Section: Introductionmentioning
confidence: 99%
“…Any decolourisation process as well as organic pollutant removal involves many problems as the processes are dependent on several operational conditions and have to be optimized using different statistical multivariate approaches such as Plackett-Burman experimental design, Taguchi method, artificial neural network (ANN), response surface methodology (RSM), etc. [7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%