Optimization of multistage membrane gas separation processes. Example of application to CO2 capture from blast furnace gas.

Saved in:
Bibliographic Details
Title: Optimization of multistage membrane gas separation processes. Example of application to CO2 capture from blast furnace gas.
Authors: Ramírez-Santos, Álvaro A.1, Bozorg, M.1,2,3, Addis, B.2, Piccialli, V.3, Castel, C.1, Favre, E.1,2
Source: Journal of Membrane Science. Nov2018, Vol. 566, p346-366. 21p.
Subjects: Membrane separation, Gas separation membranes, Carbon sequestration, Blast furnace gas, Nonlinear programming
Abstract: Abstract A Global Optimization approach of membrane gas separation processes, based on a general process superstructure including a wide array of possible configurations, and solved by a Nonlinear Programming formulation is presented. The capacity of the proposed approach to provide optimal configurations at minimum separation cost is first validated by comparing the obtained solutions with those of a reference study in the domain. The optimization approach is then applied to the optimization of CO 2 capture from blast furnace gas considering multistage processes with up to four membrane stages. The optimal process configuration and main process variables, upstream and downstream pressure and membrane area, are determined for processes with CO 2 recoveries of 90%, 95% and 99% and N 2 residual contents of 1%, 0.5% and 0.1%. The resulting separation cost is in the range of 29–45 EUR/ton CO 2 based on a NETL type cost model. Two stage permeate cascades (enrichers) with retentate recycle are shown to be the optimal configuration for N 2 residual contents down to 1% at any recovery and down to 0.5% at 90% recovery. For larger recovery or purity levels, three stage processes offered the lowest separation cost. Four stage processes offered no marked improvement over three stage processes. Highlights • Improved Global Optimization algorithm for multistage membrane processes. • Variable pressure ratio for each stage. • Vacuum operation is allowed for each stage. • Novel, cost effective multistage solutions are proposed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Membrane Science 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.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 131874298
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimization of multistage membrane gas separation processes. Example of application to CO2 capture from blast furnace gas.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ramírez-Santos%2C+Álvaro+A%2E%22">Ramírez-Santos, Álvaro A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bozorg%2C+M%2E%22">Bozorg, M.</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Addis%2C+B%2E%22">Addis, B.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Piccialli%2C+V%2E%22">Piccialli, V.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Castel%2C+C%2E%22">Castel, C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Favre%2C+E%2E%22">Favre, E.</searchLink><relatesTo>1,2</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Membrane+Science%22">Journal of Membrane Science</searchLink>. Nov2018, Vol. 566, p346-366. 21p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Membrane+separation%22">Membrane separation</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+separation+membranes%22">Gas separation membranes</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+sequestration%22">Carbon sequestration</searchLink><br /><searchLink fieldCode="DE" term="%22Blast+furnace+gas%22">Blast furnace gas</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+programming%22">Nonlinear programming</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract A Global Optimization approach of membrane gas separation processes, based on a general process superstructure including a wide array of possible configurations, and solved by a Nonlinear Programming formulation is presented. The capacity of the proposed approach to provide optimal configurations at minimum separation cost is first validated by comparing the obtained solutions with those of a reference study in the domain. The optimization approach is then applied to the optimization of CO 2 capture from blast furnace gas considering multistage processes with up to four membrane stages. The optimal process configuration and main process variables, upstream and downstream pressure and membrane area, are determined for processes with CO 2 recoveries of 90%, 95% and 99% and N 2 residual contents of 1%, 0.5% and 0.1%. The resulting separation cost is in the range of 29–45 EUR/ton CO 2 based on a NETL type cost model. Two stage permeate cascades (enrichers) with retentate recycle are shown to be the optimal configuration for N 2 residual contents down to 1% at any recovery and down to 0.5% at 90% recovery. For larger recovery or purity levels, three stage processes offered the lowest separation cost. Four stage processes offered no marked improvement over three stage processes. Highlights • Improved Global Optimization algorithm for multistage membrane processes. • Variable pressure ratio for each stage. • Vacuum operation is allowed for each stage. • Novel, cost effective multistage solutions are proposed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Membrane Science 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.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131874298
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.memsci.2018.08.024
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 346
    Subjects:
      – SubjectFull: Membrane separation
        Type: general
      – SubjectFull: Gas separation membranes
        Type: general
      – SubjectFull: Carbon sequestration
        Type: general
      – SubjectFull: Blast furnace gas
        Type: general
      – SubjectFull: Nonlinear programming
        Type: general
    Titles:
      – TitleFull: Optimization of multistage membrane gas separation processes. Example of application to CO2 capture from blast furnace gas.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ramírez-Santos, Álvaro A.
      – PersonEntity:
          Name:
            NameFull: Bozorg, M.
      – PersonEntity:
          Name:
            NameFull: Addis, B.
      – PersonEntity:
          Name:
            NameFull: Piccialli, V.
      – PersonEntity:
          Name:
            NameFull: Castel, C.
      – PersonEntity:
          Name:
            NameFull: Favre, E.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 11
              Text: Nov2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 03767388
          Numbering:
            – Type: volume
              Value: 566
          Titles:
            – TitleFull: Journal of Membrane Science
              Type: main
ResultId 1