Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell
Taguchi L9 orthogonal array was implemented to select optimum values of process parameters and to attain the maximum removal of pollutants and power generation from dairy industry wastewater using double chambered salt bridge microbial fuel cell. The maximum chemical oxygen demand reduction, current...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2020-04-01
|
| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | https://www.gjesm.net/article_38002_aa6b316d73b9c2611eb5dbbb974b15ac.pdf |
| _version_ | 1818411702608199680 |
|---|---|
| author | D. Sivakumar |
| author_facet | D. Sivakumar |
| author_sort | D. Sivakumar |
| collection | DOAJ |
| description | Taguchi L9 orthogonal array was implemented to select optimum values of process parameters and to attain the maximum removal of pollutants and power generation from dairy industry wastewater using double chambered salt bridge microbial fuel cell. The maximum chemical oxygen demand reduction, current, voltage, power, current density and power density in double chambered salt bridge microbial fuel cell from dairy industry wastewater was found to be 86.30 %, 16.10 mA, 886.34 mV, 14.27 mW, 1219.69 mA/m2 and 1081.06 mW/m2 respectively for the optimum value of 1M NaCl concentration, 10 % agar concentration and 0.10 m salt bridge length. Double chambered salt bridge microbial fuel cell was not only removed chemical oxygen demand and produced power, but it also removed other pollutants at the maximum level against the best optimum value of process parameters from the dairy industry wastewater. The proposed regression model was used to select the right combination of process parameters for obtaining a maximum reduction of pollutants and simultaneous power production from the dairy industry wastewater. |
| first_indexed | 2024-12-14T10:35:37Z |
| format | Article |
| id | doaj.art-fecf4918d427449c8e018290c614490d |
| institution | Directory Open Access Journal |
| issn | 2383-3572 2383-3866 |
| language | English |
| last_indexed | 2024-12-14T10:35:37Z |
| publishDate | 2020-04-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj.art-fecf4918d427449c8e018290c614490d2022-12-21T23:05:58ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662020-04-016214516410.22034/gjesm.2020.02.0238002Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cellD. Sivakumar0Department of Civil Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi, Chennai 600062, Tamil Nadu, IndiaTaguchi L9 orthogonal array was implemented to select optimum values of process parameters and to attain the maximum removal of pollutants and power generation from dairy industry wastewater using double chambered salt bridge microbial fuel cell. The maximum chemical oxygen demand reduction, current, voltage, power, current density and power density in double chambered salt bridge microbial fuel cell from dairy industry wastewater was found to be 86.30 %, 16.10 mA, 886.34 mV, 14.27 mW, 1219.69 mA/m2 and 1081.06 mW/m2 respectively for the optimum value of 1M NaCl concentration, 10 % agar concentration and 0.10 m salt bridge length. Double chambered salt bridge microbial fuel cell was not only removed chemical oxygen demand and produced power, but it also removed other pollutants at the maximum level against the best optimum value of process parameters from the dairy industry wastewater. The proposed regression model was used to select the right combination of process parameters for obtaining a maximum reduction of pollutants and simultaneous power production from the dairy industry wastewater.https://www.gjesm.net/article_38002_aa6b316d73b9c2611eb5dbbb974b15ac.pdfanalysis of variancedairy industry wastewaterdouble chambered salt bridge microbial fuel cell (dcsb-mfc)salt bridgesignal to noise ratiotaguchi l9 orthogonal array |
| spellingShingle | D. Sivakumar Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell Global Journal of Environmental Science and Management analysis of variance dairy industry wastewater double chambered salt bridge microbial fuel cell (dcsb-mfc) salt bridge signal to noise ratio taguchi l9 orthogonal array |
| title | Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell |
| title_full | Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell |
| title_fullStr | Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell |
| title_full_unstemmed | Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell |
| title_short | Pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell |
| title_sort | pollution reduction and electricity production from dairy industry wastewater with microbial fuel cell |
| topic | analysis of variance dairy industry wastewater double chambered salt bridge microbial fuel cell (dcsb-mfc) salt bridge signal to noise ratio taguchi l9 orthogonal array |
| url | https://www.gjesm.net/article_38002_aa6b316d73b9c2611eb5dbbb974b15ac.pdf |
| work_keys_str_mv | AT dsivakumar pollutionreductionandelectricityproductionfromdairyindustrywastewaterwithmicrobialfuelcell |