LAPSE:2023.8539
Published Article
LAPSE:2023.8539
Application of Simulated Annealing Algorithm in Core Flow Distribution Optimization
Zixuan Wang, Yan Wang, Haipeng Xu, Heng Xie
February 24, 2023
Abstract
Core flow distribution is closely related to the thermal−hydraulic performance and safety of reactors. For natural circulation reactors with a limited driving force, flow distribution optimization is of particular significance, which can be contrived by suitably assigning the inlet resistance of a core assembly channel in reactor design. In the present work, core flow distribution optimization during the fuel life cycle is regarded as a global optimization problem. The optimization objective is to minimize the maximal outlet temperature difference of assembly channels during the fuel life cycle, while the input variable is the inlet resistance coefficient of each assembly channel. The simulated annealing algorithm is applied to the optimization code. The results show that the maximal outlet temperature difference is significantly reduced after optimization, and the resultant core outlet temperature distribution becomes more uniformed. Further evaluation indicates that the optimal solution has good applicability and stability under different reactor conditions. A comparison of the optimization objective function using different temperature difference definitions is also studied in the current study.
Keywords
flow distribution optimization, global optimization, natural circulation, simulated annealing algorithm
Suggested Citation
Wang Z, Wang Y, Xu H, Xie H. Application of Simulated Annealing Algorithm in Core Flow Distribution Optimization. (2023). LAPSE:2023.8539
Author Affiliations
Wang Z: Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
Wang Y: Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
Xu H: Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
Xie H: Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
Journal Name
Energies
Volume
15
Issue
21
First Page
8242
Year
2022
Publication Date
2022-11-04
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15218242, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.8539
This Record
External Link

https://doi.org/10.3390/en15218242
Publisher Version
Download
Files
Feb 24, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
210
Version History
[v1] (Original Submission)
Feb 24, 2023
 
Verified by curator on
Feb 24, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.8539
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version
(0.89 seconds) 0.06 + 0.1 + 0.45 + 0.13 + 0 + 0.06 + 0.03 + 0 + 0.02 + 0.04 + 0 + 0