Dataset of multi -objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation
收藏科学数据银行2023-11-24 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=19d688d40ff744faa2e45c6d68faccfe
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资源简介：
The data was generated using offline software MATLAB and REFPROP.Pareto data shows the Pareto frontier solution set obtained by optimizing different nuclear power Brayton cycle schemes.The first 5 columns of the data are decision variables, columns 6-7 are objective functions, and the remaining data are the required evaluation indicators.Taylor data shows the root mean square difference (Rrmsd), correlation coefficient (Ccoef), and standard deviation (Sstd) of different multi-attribute decision schemes.
提供机构：
Pingiian Ming; Guopeng Yu; Yongfeng Cheng; East China Jiaotong University
创建时间：
2023-11-23
