Journal article 1039 views
A statistical experimental investigation on arsenic removal using capacitive deionization
Desalination and Water Treatment, Volume: 57, Issue: 7, Pages: 3254 - 3260
Swansea University Author: Wei Zhang
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DOI (Published version): 10.1080/19443994.2014.981761
Abstract
In this study, arsenic removal from water by a solar-powered capacitive deionization (CDI) unit was investigated. The Box–Behnken statistical experiment design (BBD) as an example of response surface methodology was used to investigate the effects of major process parameters. Initial arsenic concent...
Published in: | Desalination and Water Treatment |
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ISSN: | 1944-3994 1944-3986 |
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2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa44280 |
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<?xml version="1.0"?><rfc1807><datestamp>2018-10-08T15:39:33.9110803</datestamp><bib-version>v2</bib-version><id>44280</id><entry>2018-09-18</entry><title>A statistical experimental investigation on arsenic removal using capacitive deionization</title><swanseaauthors><author><sid>3ddabbb54b2cfa2ea10f590ea7da6520</sid><ORCID>0000-0003-3129-2918</ORCID><firstname>Wei</firstname><surname>Zhang</surname><name>Wei Zhang</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-09-18</date><deptcode>CHEG</deptcode><abstract>In this study, arsenic removal from water by a solar-powered capacitive deionization (CDI) unit was investigated. The Box–Behnken statistical experiment design (BBD) as an example of response surface methodology was used to investigate the effects of major process parameters. Initial arsenic concentration, pH, and background sodium chloride concentration were selected as independent variables in BBD, while arsenic removal was considered as the response function. The predicted values of arsenic removal obtained using the response functions were in good agreement with the experimental data. The current CDI technology was found to be an effective and reliable alternative for arsenic removal from water with higher than 80% removal achieved in all designated experiments. In general, CDI removal of arsenate ions favors higher pH and lower salinity conditions. This study showed that BBD methodology was an efficient and feasible approach in predicting the effects of different experimental conditions during an arsenate removal process by CDI.</abstract><type>Journal Article</type><journal>Desalination and Water Treatment</journal><volume>57</volume><journalNumber>7</journalNumber><paginationStart>3254</paginationStart><paginationEnd>3260</paginationEnd><publisher/><issnPrint>1944-3994</issnPrint><issnElectronic>1944-3986</issnElectronic><keywords>Capacitive deionization, Arsenic removal, Statistical design, Solar power</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-12-31</publishedDate><doi>10.1080/19443994.2014.981761</doi><url/><notes/><college>COLLEGE NANME</college><department>Chemical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CHEG</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-10-08T15:39:33.9110803</lastEdited><Created>2018-09-18T12:15:06.8518262</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Chemical Engineering</level></path><authors><author><firstname>Wei</firstname><surname>Zhang</surname><orcid>0000-0003-3129-2918</orcid><order>1</order></author><author><firstname>Mohamed</firstname><surname>Mossad</surname><order>2</order></author><author><firstname>Javad Sadoghi</firstname><surname>Yazdi</surname><order>3</order></author><author><firstname>Linda</firstname><surname>Zou</surname><order>4</order></author></authors><documents/><OutputDurs/></rfc1807> |
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2018-10-08T15:39:33.9110803 v2 44280 2018-09-18 A statistical experimental investigation on arsenic removal using capacitive deionization 3ddabbb54b2cfa2ea10f590ea7da6520 0000-0003-3129-2918 Wei Zhang Wei Zhang true false 2018-09-18 CHEG In this study, arsenic removal from water by a solar-powered capacitive deionization (CDI) unit was investigated. The Box–Behnken statistical experiment design (BBD) as an example of response surface methodology was used to investigate the effects of major process parameters. Initial arsenic concentration, pH, and background sodium chloride concentration were selected as independent variables in BBD, while arsenic removal was considered as the response function. The predicted values of arsenic removal obtained using the response functions were in good agreement with the experimental data. The current CDI technology was found to be an effective and reliable alternative for arsenic removal from water with higher than 80% removal achieved in all designated experiments. In general, CDI removal of arsenate ions favors higher pH and lower salinity conditions. This study showed that BBD methodology was an efficient and feasible approach in predicting the effects of different experimental conditions during an arsenate removal process by CDI. Journal Article Desalination and Water Treatment 57 7 3254 3260 1944-3994 1944-3986 Capacitive deionization, Arsenic removal, Statistical design, Solar power 31 12 2016 2016-12-31 10.1080/19443994.2014.981761 COLLEGE NANME Chemical Engineering COLLEGE CODE CHEG Swansea University 2018-10-08T15:39:33.9110803 2018-09-18T12:15:06.8518262 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering Wei Zhang 0000-0003-3129-2918 1 Mohamed Mossad 2 Javad Sadoghi Yazdi 3 Linda Zou 4 |
title |
A statistical experimental investigation on arsenic removal using capacitive deionization |
spellingShingle |
A statistical experimental investigation on arsenic removal using capacitive deionization Wei Zhang |
title_short |
A statistical experimental investigation on arsenic removal using capacitive deionization |
title_full |
A statistical experimental investigation on arsenic removal using capacitive deionization |
title_fullStr |
A statistical experimental investigation on arsenic removal using capacitive deionization |
title_full_unstemmed |
A statistical experimental investigation on arsenic removal using capacitive deionization |
title_sort |
A statistical experimental investigation on arsenic removal using capacitive deionization |
author_id_str_mv |
3ddabbb54b2cfa2ea10f590ea7da6520 |
author_id_fullname_str_mv |
3ddabbb54b2cfa2ea10f590ea7da6520_***_Wei Zhang |
author |
Wei Zhang |
author2 |
Wei Zhang Mohamed Mossad Javad Sadoghi Yazdi Linda Zou |
format |
Journal article |
container_title |
Desalination and Water Treatment |
container_volume |
57 |
container_issue |
7 |
container_start_page |
3254 |
publishDate |
2016 |
institution |
Swansea University |
issn |
1944-3994 1944-3986 |
doi_str_mv |
10.1080/19443994.2014.981761 |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
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facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering |
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description |
In this study, arsenic removal from water by a solar-powered capacitive deionization (CDI) unit was investigated. The Box–Behnken statistical experiment design (BBD) as an example of response surface methodology was used to investigate the effects of major process parameters. Initial arsenic concentration, pH, and background sodium chloride concentration were selected as independent variables in BBD, while arsenic removal was considered as the response function. The predicted values of arsenic removal obtained using the response functions were in good agreement with the experimental data. The current CDI technology was found to be an effective and reliable alternative for arsenic removal from water with higher than 80% removal achieved in all designated experiments. In general, CDI removal of arsenate ions favors higher pH and lower salinity conditions. This study showed that BBD methodology was an efficient and feasible approach in predicting the effects of different experimental conditions during an arsenate removal process by CDI. |
published_date |
2016-12-31T03:55:30Z |
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1763752784174252032 |
score |
11.029921 |