Entropy production and dissipation mechanisms in TPMS-structured beds for adsorption-based desalination and cooling systems.

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Title: Entropy production and dissipation mechanisms in TPMS-structured beds for adsorption-based desalination and cooling systems.
Authors: Li, Mingliang1 (AUTHOR), Long, Rui1 (AUTHOR) r_long@hust.edu.cn, Liu, Zhichun1 (AUTHOR), Liu, Wei1 (AUTHOR)
Source: International Journal of Heat & Mass Transfer. Jun2026, Vol. 260, pN.PAG-N.PAG. 1p.
Subjects: Energy dissipation, Water purification adsorption, Mathematical optimization, Porosity, Cooling systems, Entropy, Nonequilibrium thermodynamics
Abstract: • Second law analysis is applied to quantitatively relate irreversibility with system throughput. • Triply periodic minimal surface structured beds with varied porosities are evaluated. • Volumetric performance is optimized when maximizing irreversible features. • The optimal bed porosity remains consistent and strong structural portability. Structural design and optimization are essential for improving the performance of adsorption-based desalination and cooling systems. Moving beyond empirical approaches, the study applies second law analysis to the transient adsorption bed which is the primary source of irreversible loss, quantitatively relating dissipative characteristics with overall system throughput in specific and volumetric terms. The developed formulation delineates entropy generation into irreversibility arising from adsorption kinetics, viscous flow, and heat transfer, which is subsequently used to evaluate triply periodic minimal surface structured beds and enhance system performance. Three-dimensional numerical simulations compare various architectures with differing skeleton and bed porosities, revealing competitive mechanisms under varied conditions. Results show that irreversible features effectively clarify the relationship between complex transport phenomena and overall production. Volumetric performance is optimized when maximizing adsorption irreversibility and fluid flow irreversibility within the adsorbent, and heat transfer irreversibility inside the skeleton. Furthermore, machine learning and genetic algorithms are employed to optimize entropy generation, dissipation, and working capacity. The Diamond-type structure achieves the highest total production, while the optimal bed porosity remains consistent across diverse architectures, indicating strong structural portability. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Heat & Mass Transfer is the property of Pergamon Press - An Imprint of Elsevier Science 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
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DbLabel: Engineering Source
An: 191635555
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Entropy production and dissipation mechanisms in TPMS-structured beds for adsorption-based desalination and cooling systems.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Mingliang%22">Li, Mingliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Long%2C+Rui%22">Long, Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> r_long@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhichun%22">Liu, Zhichun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Wei%22">Liu, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Heat+%26+Mass+Transfer%22">International Journal of Heat & Mass Transfer</searchLink>. Jun2026, Vol. 260, pN.PAG-N.PAG. 1p.
– Name: Subject
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  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Energy+dissipation%22">Energy dissipation</searchLink><br /><searchLink fieldCode="DE" term="%22Water+purification+adsorption%22">Water purification adsorption</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Porosity%22">Porosity</searchLink><br /><searchLink fieldCode="DE" term="%22Cooling+systems%22">Cooling systems</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy%22">Entropy</searchLink><br /><searchLink fieldCode="DE" term="%22Nonequilibrium+thermodynamics%22">Nonequilibrium thermodynamics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Second law analysis is applied to quantitatively relate irreversibility with system throughput. • Triply periodic minimal surface structured beds with varied porosities are evaluated. • Volumetric performance is optimized when maximizing irreversible features. • The optimal bed porosity remains consistent and strong structural portability. Structural design and optimization are essential for improving the performance of adsorption-based desalination and cooling systems. Moving beyond empirical approaches, the study applies second law analysis to the transient adsorption bed which is the primary source of irreversible loss, quantitatively relating dissipative characteristics with overall system throughput in specific and volumetric terms. The developed formulation delineates entropy generation into irreversibility arising from adsorption kinetics, viscous flow, and heat transfer, which is subsequently used to evaluate triply periodic minimal surface structured beds and enhance system performance. Three-dimensional numerical simulations compare various architectures with differing skeleton and bed porosities, revealing competitive mechanisms under varied conditions. Results show that irreversible features effectively clarify the relationship between complex transport phenomena and overall production. Volumetric performance is optimized when maximizing adsorption irreversibility and fluid flow irreversibility within the adsorbent, and heat transfer irreversibility inside the skeleton. Furthermore, machine learning and genetic algorithms are employed to optimize entropy generation, dissipation, and working capacity. The Diamond-type structure achieves the highest total production, while the optimal bed porosity remains consistent across diverse architectures, indicating strong structural portability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Heat & Mass Transfer is the property of Pergamon Press - An Imprint of Elsevier Science 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.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ijheatmasstransfer.2026.128483
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Energy dissipation
        Type: general
      – SubjectFull: Water purification adsorption
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Porosity
        Type: general
      – SubjectFull: Cooling systems
        Type: general
      – SubjectFull: Entropy
        Type: general
      – SubjectFull: Nonequilibrium thermodynamics
        Type: general
    Titles:
      – TitleFull: Entropy production and dissipation mechanisms in TPMS-structured beds for adsorption-based desalination and cooling systems.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Li, Mingliang
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            NameFull: Long, Rui
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            NameFull: Liu, Zhichun
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            NameFull: Liu, Wei
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 260
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            – TitleFull: International Journal of Heat & Mass Transfer
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