Abstract
Currently, nuclear power has been accepted by many countries as a safe and clean energy source. According to the nuclear power development policy, China will approve 6–8 units annually. The system of nuclear power plants is complex and highly dense, at present, there are mainly the following characteristics in the design of nuclear power unit systems: there are many design parameters and variables for the nuclear power unit system and its subsystems, which require customized design according to engineering requirements such as plant site and natural environment; The nuclear power unit system and its multiple subsystems require optimization design and multi-attribute decision-making for multiple design schemes from the perspectives of safety and economy. Traditional design is difficult to achieve fast response personalized design in the case of multi unit parallel design. This article elaborates on the exploratory research results of large-scale customization technology for nuclear power unit systems in the “Data Driven Manufacturing Enterprise Intelligent Decision Technology and System” project of the National Key R&D Program of the Ministry of Science and Technology. Based on the design data and experience feedback data of the nuclear power unit system, a demand model and data model were established. A multi-objective optimization algorithm model was developed based on the design hierarchy and optimization calculation characteristics of the nuclear power unit system, and an intelligent optimization design platform for the nuclear power unit system was established. The algorithm model and platform were validated with the design of essential service water systems as the object. The calculation results responded to safety and economic requirements, and compared with traditional design, the design efficiency was improved, and the design parameters could be optimized more quickly.
| Original language | English |
|---|---|
| Pages (from-to) | 388-397 |
| Number of pages | 10 |
| Journal | International Journal of Advanced Nuclear Reactor Design and Technology |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2025 |
Keywords
- Essential plant service water system
- Intelligent customization design
- Optimize configuration
- Quick response design
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