A Systematic Hierarchical Thermodynamic Analysis of Hydrogen Producing Iron−Chlorine Reaction Clusters.
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| Title: | A Systematic Hierarchical Thermodynamic Analysis of Hydrogen Producing Iron−Chlorine Reaction Clusters. |
|---|---|
| Authors: | Ryan J. Andress1, Lealon L. Martin1 |
| Source: | Industrial & Engineering Chemistry Research. Feb2011, Vol. 50 Issue 3, p1278-1293. 16p. |
| Subjects: | Thermodynamics, Hydrogen, Chlorine, Chemical reactions, Microclusters, Linear statistical models |
| Abstract: | Here, we apply our systematic methodology for thermochemical cycle evaluation to the well-studied Fe−Cl system. Using an integer linear program, thermochemical cycles are identified from species consisting of Fe, Cl, H, and O atoms and a corresponding nonlinear (in temperature) thermodynamic database. Using Aspen Plus simulation software and heat pinch analysis, maximum attainable cycle efficiencies of up to 51% are calculated, exceeding our base-level target of 35%. The most promising of these cycles is evaluated in more detail considering thermodynamic yields. A higher-level evaluation results in a significant reduction in cycle efficiency due to increased thermal requirements resulting from low-yield reactions and competing by-products. Results of this higher-level analysis and the base-level analysis are consistent with literature findings on Fe−Cl thermochemical cycles. [ABSTRACT FROM AUTHOR] |
| Copyright of Industrial & Engineering Chemistry Research is the property of American Chemical Society 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 59333624 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Systematic Hierarchical Thermodynamic Analysis of Hydrogen Producing Iron−Chlorine Reaction Clusters. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ryan+J%2E+Andress%22">Ryan J. Andress</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lealon+L%2E+Martin%22">Lealon L. Martin</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Industrial+%26+Engineering+Chemistry+Research%22">Industrial & Engineering Chemistry Research</searchLink>. Feb2011, Vol. 50 Issue 3, p1278-1293. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Thermodynamics%22">Thermodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrogen%22">Hydrogen</searchLink><br /><searchLink fieldCode="DE" term="%22Chlorine%22">Chlorine</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+reactions%22">Chemical reactions</searchLink><br /><searchLink fieldCode="DE" term="%22Microclusters%22">Microclusters</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+statistical+models%22">Linear statistical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Here, we apply our systematic methodology for thermochemical cycle evaluation to the well-studied Fe−Cl system. Using an integer linear program, thermochemical cycles are identified from species consisting of Fe, Cl, H, and O atoms and a corresponding nonlinear (in temperature) thermodynamic database. Using Aspen Plus simulation software and heat pinch analysis, maximum attainable cycle efficiencies of up to 51% are calculated, exceeding our base-level target of 35%. The most promising of these cycles is evaluated in more detail considering thermodynamic yields. A higher-level evaluation results in a significant reduction in cycle efficiency due to increased thermal requirements resulting from low-yield reactions and competing by-products. Results of this higher-level analysis and the base-level analysis are consistent with literature findings on Fe−Cl thermochemical cycles. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Industrial & Engineering Chemistry Research is the property of American Chemical Society 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: 10.1021/ie100398r Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1278 Subjects: – SubjectFull: Thermodynamics Type: general – SubjectFull: Hydrogen Type: general – SubjectFull: Chlorine Type: general – SubjectFull: Chemical reactions Type: general – SubjectFull: Microclusters Type: general – SubjectFull: Linear statistical models Type: general Titles: – TitleFull: A Systematic Hierarchical Thermodynamic Analysis of Hydrogen Producing Iron−Chlorine Reaction Clusters. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ryan J. Andress – PersonEntity: Name: NameFull: Lealon L. Martin IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 02 Text: Feb2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 08885885 Numbering: – Type: volume Value: 50 – Type: issue Value: 3 Titles: – TitleFull: Industrial & Engineering Chemistry Research Type: main |
| ResultId | 1 |