Literature DB >> 19962826

Electrochemical degradation of specialty chemical industry effluent.

C Ahmed Basha1, P A Soloman, M Velan, Lima Rose Miranda, N Balasubramanian, R Siva.   

Abstract

Conventional wastewater treatment techniques are inefficient to manage large quantities of refractory organics discharged by specialty chemical industries. It is aimed in the present investigation to compare overall performance of the basic electrochemical reactor configurations such as batch, batch recirculation and continuous recycle reactors, in removing the organic part of wastewater from a medium-scale, specialty chemical industry. The effects of current density, supporting electrolyte concentration, electrolysis duration and fluid flow rate on the pollutant removal and energy consumption performances were critically evaluated. Continuous recycle reactor is found to be the better configuration, because of its flexibility of operation. Circulation flow rate and withdrawal flow rate enable control on transfer coefficients and treatment duration respectively. The ability of artificial neural network (ANN) in predicting the performance of the batch electrochemical treatment has also been demonstrated. 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 19962826     DOI: 10.1016/j.jhazmat.2009.10.131

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  2 in total

1.  BP-ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System.

Authors:  Yu Mei; Jiaqian Yang; Yin Lu; Feilin Hao; Dongmei Xu; Hua Pan; Jiade Wang
Journal:  Int J Environ Res Public Health       Date:  2019-07-10       Impact factor: 3.390

2.  The treatment of real dyeing wastewater by the electro-Fenton process using drinking water treatment sludge as a catalyst.

Authors:  Duc Dat Duc Nguyen; Huy Hoang Phan Quang; Xuan Hoan Nguyen; Tan Phong Nguyen
Journal:  RSC Adv       Date:  2021-08-13       Impact factor: 3.361

  2 in total

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