Mathematical modeling based evaluation and simulation of boron removal in bioelectrochemical systems.

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Title: Mathematical modeling based evaluation and simulation of boron removal in bioelectrochemical systems.
Authors: Ping, Qingyun1, Abu-Reesh, Ibrahim M.2, He, Zhen1 zhenhe@vt.edu
Source: Science of the Total Environment. Nov2016, Vol. 569, p1380-1389. 10p.
Subjects: Boron, Microbial fuel cells, Saline water conversion, Solution (Chemistry), Ion exchange resins
Abstract: Boron removal is an arising issue in desalination plants due to boron's toxicity. As an emerging treatment concept, bioelectrochemical systems (BES) can achieve potentially cost-effective boron removal by taking advantage of cathodic-produced alkali. Prior studies have demonstrated successful removal of boron in microbial desalination cells (MDCs) and microbial fuel cells (MFCs), both of which are representative BES. Herein, mathematical models were developed to further evaluate boron removal by different BES and understand the key operating factors. The models delivered very good prediction of the boron concentration in the MDC integrated with Donnan Dialysis (DD) system with the lowest relative root-mean-square error (RMSE) of 0.00%; the predication of the MFC performance generated the highest RMSE of 18.55%. The model results of salt concentration, solution pH, and current generation were well fitted with experimental data for RMSE values mostly below 10%. The long term simulation of the MDC-DD system suggests that the accumulation of salt in the catholyte/stripping solution could have a positive impact on the removal of boron due to osmosis-driven convection. The current generation in the MDC may have little influence on the boron removal, while in the MFC the current-driven electromigration can contribute up to 40% of boron removal. Osmosis-induced convection transport of boron could be the major driving force for boron removal to a low level < 2 mg L − 1 . The ratio between the anolyte and the catholyte flow rates should be kept > 22.2 in order to avoid boron accumulation in the anolyte effluent. [ABSTRACT FROM AUTHOR]
Copyright of Science of the Total Environment is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Boron removal is an arising issue in desalination plants due to boron&#39;s toxicity. As an emerging treatment concept, bioelectrochemical systems (BES) can achieve potentially cost-effective boron removal by taking advantage of cathodic-produced alkali. Prior studies have demonstrated successful removal of boron in microbial desalination cells (MDCs) and microbial fuel cells (MFCs), both of which are representative BES. Herein, mathematical models were developed to further evaluate boron removal by different BES and understand the key operating factors. The models delivered very good prediction of the boron concentration in the MDC integrated with Donnan Dialysis (DD) system with the lowest relative root-mean-square error (RMSE) of 0.00%; the predication of the MFC performance generated the highest RMSE of 18.55%. The model results of salt concentration, solution pH, and current generation were well fitted with experimental data for RMSE values mostly below 10%. The long term simulation of the MDC-DD system suggests that the accumulation of salt in the catholyte/stripping solution could have a positive impact on the removal of boron due to osmosis-driven convection. The current generation in the MDC may have little influence on the boron removal, while in the MFC the current-driven electromigration can contribute up to 40% of boron removal. Osmosis-induced convection transport of boron could be the major driving force for boron removal to a low level &lt; 2 mg L − 1 . The ratio between the anolyte and the catholyte flow rates should be kept &gt; 22.2 in order to avoid boron accumulation in the anolyte effluent. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Science of the Total Environment is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.scitotenv.2016.06.220
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1380
    Subjects:
      – SubjectFull: Boron
        Type: general
      – SubjectFull: Microbial fuel cells
        Type: general
      – SubjectFull: Saline water conversion
        Type: general
      – SubjectFull: Solution (Chemistry)
        Type: general
      – SubjectFull: Ion exchange resins
        Type: general
    Titles:
      – TitleFull: Mathematical modeling based evaluation and simulation of boron removal in bioelectrochemical systems.
        Type: main
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    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ping, Qingyun
      – PersonEntity:
          Name:
            NameFull: Abu-Reesh, Ibrahim M.
      – PersonEntity:
          Name:
            NameFull: He, Zhen
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          Dates:
            – D: 01
              M: 11
              Text: Nov2016
              Type: published
              Y: 2016
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              Value: 569
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            – TitleFull: Science of the Total Environment
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