Integrated optimization of hydrogen-fueled gas turbine parameters: Balancing efficiency and economic viability.
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| Title: | Integrated optimization of hydrogen-fueled gas turbine parameters: Balancing efficiency and economic viability. |
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| Authors: | Elmeknassi, Youssef1 (AUTHOR), He, Weifeng1 (AUTHOR) wfhe@nuaa.edu.cn, Adam, Abdalazeem1,2 (AUTHOR) abdalazeem@nuaa.edu.cn, Han, Dong1 (AUTHOR), Shuo, Dai1 (AUTHOR) |
| Source: | International Journal of Hydrogen Energy. Jun2025, Vol. 135, p111-120. 10p. |
| Subjects: | Multi-objective optimization, Carbon emissions, Air flow, Internal combustion engines, Alternative fuels |
| Abstract: | Hydrogen-fueled gas turbine engines offer a promising solution to improve thermal efficiency, reduce fuel consumption, and achieve zero CO 2 emissions. This study uses parametric analysis and multi-objective optimization to investigate the impact of these parameters on system performance and profitability. The results show a significant trade-off between efficiency and economic expenditures. As the equivalence ratio (ϕ) increases from 0.2 to 0.5, thermal efficiency improves consistently, rising from 26.8 % to 40.4 %. Meanwhile, total costs drop significantly from $11,645/hour to $7430/hour as ϕ increases from 0.2 to 0.38. However, beyond this threshold equivalence ratio value, costs begin to rise. The optimal compression ratio is 22.4 and the pressure distribution parameter is 0.3, which balances low costs and high efficiency. This study establishes a comprehensive framework for reconciling technical and economic goals, paving the way for future research that includes emissions considerations, alternative fuel options, and system changes. • Peak efficiency and net work occur at minimal air flow rates and r c of 23–24. • Optimal compression efficiency is achieved at low pressure distribution factors (P d = 0.3). • Multi-objective optimization yields r c = 22.4, P d = 0.3, and ϕ=0.38 as optimal values. • At optimal conditions, thermal efficiency is 36.98 %, with costs of $7364.68/hour. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Hydrogen Energy 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185417812 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrated optimization of hydrogen-fueled gas turbine parameters: Balancing efficiency and economic viability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Elmeknassi%2C+Youssef%22">Elmeknassi, Youssef</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Weifeng%22">He, Weifeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wfhe@nuaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Adam%2C+Abdalazeem%22">Adam, Abdalazeem</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> abdalazeem@nuaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Han%2C+Dong%22">Han, Dong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shuo%2C+Dai%22">Shuo, Dai</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Hydrogen+Energy%22">International Journal of Hydrogen Energy</searchLink>. Jun2025, Vol. 135, p111-120. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br /><searchLink fieldCode="DE" term="%22Air+flow%22">Air flow</searchLink><br /><searchLink fieldCode="DE" term="%22Internal+combustion+engines%22">Internal combustion engines</searchLink><br /><searchLink fieldCode="DE" term="%22Alternative+fuels%22">Alternative fuels</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Hydrogen-fueled gas turbine engines offer a promising solution to improve thermal efficiency, reduce fuel consumption, and achieve zero CO 2 emissions. This study uses parametric analysis and multi-objective optimization to investigate the impact of these parameters on system performance and profitability. The results show a significant trade-off between efficiency and economic expenditures. As the equivalence ratio (ϕ) increases from 0.2 to 0.5, thermal efficiency improves consistently, rising from 26.8 % to 40.4 %. Meanwhile, total costs drop significantly from $11,645/hour to $7430/hour as ϕ increases from 0.2 to 0.38. However, beyond this threshold equivalence ratio value, costs begin to rise. The optimal compression ratio is 22.4 and the pressure distribution parameter is 0.3, which balances low costs and high efficiency. This study establishes a comprehensive framework for reconciling technical and economic goals, paving the way for future research that includes emissions considerations, alternative fuel options, and system changes. • Peak efficiency and net work occur at minimal air flow rates and r c of 23–24. • Optimal compression efficiency is achieved at low pressure distribution factors (P d = 0.3). • Multi-objective optimization yields r c = 22.4, P d = 0.3, and ϕ=0.38 as optimal values. • At optimal conditions, thermal efficiency is 36.98 %, with costs of $7364.68/hour. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Hydrogen Energy 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.ijhydene.2025.04.528 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 111 Subjects: – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Carbon emissions Type: general – SubjectFull: Air flow Type: general – SubjectFull: Internal combustion engines Type: general – SubjectFull: Alternative fuels Type: general Titles: – TitleFull: Integrated optimization of hydrogen-fueled gas turbine parameters: Balancing efficiency and economic viability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Elmeknassi, Youssef – PersonEntity: Name: NameFull: He, Weifeng – PersonEntity: Name: NameFull: Adam, Abdalazeem – PersonEntity: Name: NameFull: Han, Dong – PersonEntity: Name: NameFull: Shuo, Dai IsPartOfRelationships: – BibEntity: Dates: – D: 06 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 03603199 Numbering: – Type: volume Value: 135 Titles: – TitleFull: International Journal of Hydrogen Energy Type: main |
| ResultId | 1 |
