Multi-Objective Optimization Analysis of Economic Indicators for Nuclear Power Plant Reactor Primary Loop System Based on NHGA-NSGA-II Hybrid Algorithm Framework.
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| Title: | Multi-Objective Optimization Analysis of Economic Indicators for Nuclear Power Plant Reactor Primary Loop System Based on NHGA-NSGA-II Hybrid Algorithm Framework. |
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| Authors: | Hao, Chengming1,2 (AUTHOR), He, Yanping1,2 (AUTHOR) hyp110@sjtu.edu.cn, Liu, Yadong1,2 (AUTHOR), Chen, Zhe1,2 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2379. 22p. |
| Subject Terms: | *Multi-objective optimization, *Nuclear power plants, *Safety, *Nuclear reactor cooling, *Buoyancy-driven flow, *Pareto analysis |
| Abstract: | Nuclear energy offers a zero-carbon solution to emission challenges, yet nuclear power plant design is constrained by spatial limitations and complex nonlinear parameter interactions. This study develops a hybrid genetic multi-objective optimization framework, NHGA-NSGA-II, by integrating refined NHGA strategies with the NSGA-II technique. Applied to a reactor primary loop system, the framework reveals a fundamental trade-off between system miniaturization (mass/volume) and passive safety (natural circulation and MDNBR). Pareto analysis indicates that Optimization Plan 3 corresponds to the most favorable representative trade-off identified under the present modeling assumptions, optimization settings, and constraint framework, achieving a 20% gain in natural circulation capacity and a 5.9% safety improvement with only a 9.2% cost increase, thereby illustrating a balanced relationship among passive safety, compactness, and economic efficiency within the current scope of the study. The proposed framework offers an effective tool for high-dimensional nonlinear optimization in nuclear engineering. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141494 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-Objective Optimization Analysis of Economic Indicators for Nuclear Power Plant Reactor Primary Loop System Based on NHGA-NSGA-II Hybrid Algorithm Framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hao%2C+Chengming%22">Hao, Chengming</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Yanping%22">He, Yanping</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hyp110@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yadong%22">Liu, Yadong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhe%22">Chen, Zhe</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2379. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Nuclear+power+plants%22">Nuclear power plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Safety%22">Safety</searchLink><br />*<searchLink fieldCode="DE" term="%22Nuclear+reactor+cooling%22">Nuclear reactor cooling</searchLink><br />*<searchLink fieldCode="DE" term="%22Buoyancy-driven+flow%22">Buoyancy-driven flow</searchLink><br />*<searchLink fieldCode="DE" term="%22Pareto+analysis%22">Pareto analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Nuclear energy offers a zero-carbon solution to emission challenges, yet nuclear power plant design is constrained by spatial limitations and complex nonlinear parameter interactions. This study develops a hybrid genetic multi-objective optimization framework, NHGA-NSGA-II, by integrating refined NHGA strategies with the NSGA-II technique. Applied to a reactor primary loop system, the framework reveals a fundamental trade-off between system miniaturization (mass/volume) and passive safety (natural circulation and MDNBR). Pareto analysis indicates that Optimization Plan 3 corresponds to the most favorable representative trade-off identified under the present modeling assumptions, optimization settings, and constraint framework, achieving a 20% gain in natural circulation capacity and a 5.9% safety improvement with only a 9.2% cost increase, thereby illustrating a balanced relationship among passive safety, compactness, and economic efficiency within the current scope of the study. The proposed framework offers an effective tool for high-dimensional nonlinear optimization in nuclear engineering. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141494 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102379 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 2379 Subjects: – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Nuclear power plants Type: general – SubjectFull: Safety Type: general – SubjectFull: Nuclear reactor cooling Type: general – SubjectFull: Buoyancy-driven flow Type: general – SubjectFull: Pareto analysis Type: general Titles: – TitleFull: Multi-Objective Optimization Analysis of Economic Indicators for Nuclear Power Plant Reactor Primary Loop System Based on NHGA-NSGA-II Hybrid Algorithm Framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hao, Chengming – PersonEntity: Name: NameFull: He, Yanping – PersonEntity: Name: NameFull: Liu, Yadong – PersonEntity: Name: NameFull: Chen, Zhe IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
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