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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