Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method
AbstractThe response surface method (RSM) was used to find out the best conditions for the nitrate removal by electrocoagulation (EC) process with aluminum electrodes. The independent variables were initial nitrate concentration, reaction time, initial pH, and cell voltage. A statistical analysis of...
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| Veröffentlicht in: | Journal of environmental engineering (New York, N.Y.) N.Y.), 2017-07, Vol.143 (7) |
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| creator | Emamjomeh, Mohammad M Jamali, Hamzeh A Moradnia, Maryam |
| description | AbstractThe response surface method (RSM) was used to find out the best conditions for the nitrate removal by electrocoagulation (EC) process with aluminum electrodes. The independent variables were initial nitrate concentration, reaction time, initial pH, and cell voltage. A statistical analysis of variance (ANOVA) was performed for optimization of parameters obtained from the experimental data. A quadratic model was suggested as a good model for prediction of nitrate removal efficiency. The optimum conditions were obtained at pH 10, 17 V voltage, and 68 min when the initial nitrate concentration was found to be 226 mg/L. At the best conditions, the nitrate removal efficiency and energy consumption were obtained as 87.95% and 144.15 kWh/m3, respectively. In terms of nitrate removal efficiency and energy consumption, the coefficients of determinations were found to be 0.95 and 0.99, respectively. The results indicate that the initial nitrate concentration, reaction time, and cell voltage were found to be the most important parameters. The results also show good agreement between experimental data and the predicted equation. |
| doi_str_mv | 10.1061/(ASCE)EE.1943-7870.0001210 |
| format | Article |
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The independent variables were initial nitrate concentration, reaction time, initial pH, and cell voltage. A statistical analysis of variance (ANOVA) was performed for optimization of parameters obtained from the experimental data. A quadratic model was suggested as a good model for prediction of nitrate removal efficiency. The optimum conditions were obtained at pH 10, 17 V voltage, and 68 min when the initial nitrate concentration was found to be 226 mg/L. At the best conditions, the nitrate removal efficiency and energy consumption were obtained as 87.95% and 144.15 kWh/m3, respectively. In terms of nitrate removal efficiency and energy consumption, the coefficients of determinations were found to be 0.95 and 0.99, respectively. The results indicate that the initial nitrate concentration, reaction time, and cell voltage were found to be the most important parameters. The results also show good agreement between experimental data and the predicted equation.</description><identifier>ISSN: 0733-9372</identifier><identifier>EISSN: 1943-7870</identifier><identifier>DOI: 10.1061/(ASCE)EE.1943-7870.0001210</identifier><language>eng</language><publisher>American Society of Civil Engineers</publisher><subject>Electric potential ; Energy consumption ; Mathematical models ; Nitrate removal ; Nitrates ; Optimization ; Power efficiency ; Technical Papers ; Voltage</subject><ispartof>Journal of environmental engineering (New York, N.Y.), 2017-07, Vol.143 (7)</ispartof><rights>2017 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a478t-ce9b76f92d39385ce5895542c9774bd9b1e3eb03b53b74d1070ed633266a6a5c3</citedby><cites>FETCH-LOGICAL-a478t-ce9b76f92d39385ce5895542c9774bd9b1e3eb03b53b74d1070ed633266a6a5c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)EE.1943-7870.0001210$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)EE.1943-7870.0001210$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,75939,75947</link.rule.ids></links><search><creatorcontrib>Emamjomeh, Mohammad M</creatorcontrib><creatorcontrib>Jamali, Hamzeh A</creatorcontrib><creatorcontrib>Moradnia, Maryam</creatorcontrib><title>Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method</title><title>Journal of environmental engineering (New York, N.Y.)</title><description>AbstractThe response surface method (RSM) was used to find out the best conditions for the nitrate removal by electrocoagulation (EC) process with aluminum electrodes. The independent variables were initial nitrate concentration, reaction time, initial pH, and cell voltage. A statistical analysis of variance (ANOVA) was performed for optimization of parameters obtained from the experimental data. A quadratic model was suggested as a good model for prediction of nitrate removal efficiency. The optimum conditions were obtained at pH 10, 17 V voltage, and 68 min when the initial nitrate concentration was found to be 226 mg/L. At the best conditions, the nitrate removal efficiency and energy consumption were obtained as 87.95% and 144.15 kWh/m3, respectively. In terms of nitrate removal efficiency and energy consumption, the coefficients of determinations were found to be 0.95 and 0.99, respectively. The results indicate that the initial nitrate concentration, reaction time, and cell voltage were found to be the most important parameters. The results also show good agreement between experimental data and the predicted equation.</description><subject>Electric potential</subject><subject>Energy consumption</subject><subject>Mathematical models</subject><subject>Nitrate removal</subject><subject>Nitrates</subject><subject>Optimization</subject><subject>Power efficiency</subject><subject>Technical Papers</subject><subject>Voltage</subject><issn>0733-9372</issn><issn>1943-7870</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNkU9P2zAAR61pk9YxvoO1Ezuk85_EjrmxyoNJdCAYZ8txnGKU2JntIHUfgM9N2iJu0zhZst77yfID4AtGS4wY_nZydruSX6VcYlHSgtccLRFCmGD0Dixe796DBeKUFoJy8hF8SulhZkom-AI8XY3ZDe6vzi54GDr4y-Wos4U3dgiPuoey65xx1pst1L6F0tu42cJV8Gkaxr10l5zfQA2_62zu4Tr4MIZeRyh7a3IMJujN1O_3T-F1tK0ze63ZwpvbNVzbfB_az-BDp_tkj1_OI3D3Q_5eXRSXV-c_V2eXhS55nQtjRcNZJ0hLBa0rY6taVFVJjOC8bFrRYEttg2hT0YaXLUYc2ZZRShjTTFeGHoGTw-4Yw5_JpqwGl4zte-1tmJLCApUEEYbL_6O14PMbGBdvQWktCKHoDSjnNUaUsRk9PaAmhpSi7dQY3aDjVmGkdvWV2tVXUqpdabUrrV7qzzI7yHpeVw9hin7-11fz3-IzsMGzqw</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Emamjomeh, Mohammad M</creator><creator>Jamali, Hamzeh A</creator><creator>Moradnia, Maryam</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20170701</creationdate><title>Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method</title><author>Emamjomeh, Mohammad M ; Jamali, Hamzeh A ; Moradnia, Maryam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a478t-ce9b76f92d39385ce5895542c9774bd9b1e3eb03b53b74d1070ed633266a6a5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Electric potential</topic><topic>Energy consumption</topic><topic>Mathematical models</topic><topic>Nitrate removal</topic><topic>Nitrates</topic><topic>Optimization</topic><topic>Power efficiency</topic><topic>Technical Papers</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Emamjomeh, Mohammad M</creatorcontrib><creatorcontrib>Jamali, Hamzeh A</creatorcontrib><creatorcontrib>Moradnia, Maryam</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of environmental engineering (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Emamjomeh, Mohammad M</au><au>Jamali, Hamzeh A</au><au>Moradnia, Maryam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method</atitle><jtitle>Journal of environmental engineering (New York, N.Y.)</jtitle><date>2017-07-01</date><risdate>2017</risdate><volume>143</volume><issue>7</issue><issn>0733-9372</issn><eissn>1943-7870</eissn><abstract>AbstractThe response surface method (RSM) was used to find out the best conditions for the nitrate removal by electrocoagulation (EC) process with aluminum electrodes. The independent variables were initial nitrate concentration, reaction time, initial pH, and cell voltage. A statistical analysis of variance (ANOVA) was performed for optimization of parameters obtained from the experimental data. A quadratic model was suggested as a good model for prediction of nitrate removal efficiency. The optimum conditions were obtained at pH 10, 17 V voltage, and 68 min when the initial nitrate concentration was found to be 226 mg/L. At the best conditions, the nitrate removal efficiency and energy consumption were obtained as 87.95% and 144.15 kWh/m3, respectively. In terms of nitrate removal efficiency and energy consumption, the coefficients of determinations were found to be 0.95 and 0.99, respectively. The results indicate that the initial nitrate concentration, reaction time, and cell voltage were found to be the most important parameters. The results also show good agreement between experimental data and the predicted equation.</abstract><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)EE.1943-7870.0001210</doi></addata></record> |
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| ispartof | Journal of environmental engineering (New York, N.Y.), 2017-07, Vol.143 (7) |
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| language | eng |
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| source | American Society of Civil Engineers:NESLI2:Journals:2014 |
| subjects | Electric potential Energy consumption Mathematical models Nitrate removal Nitrates Optimization Power efficiency Technical Papers Voltage |
| title | Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method |
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