Multi-Objective Optimization of Supercritical Water Oxidation for Radioactive Organic Anion Exchange Resin Wastewater Using GPR–NSGA-II

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Vydáno v:	Processes vol. 13, no. 12 (2025), p. 3759-3780
Hlavní autor:	Jin Yabin
Další autoři:	Xu, Tiantian, Zhang, Le, Zhang, Qian, Zhou, Liang, Shen, Zhe, Wan Zhenjie
Vydáno:	MDPI AG
Témata:	Supercritical water oxidation Organic wastes Sensitivity analysis Chemical oxygen demand Nitrogen Radioactive wastes Optimization Anion exchanging Genetic transformation Waste disposal Multiple objective analysis Liquids Oxidants Energy consumption Industrial plant emissions Efficiency Corrosion Wastewater treatment Nuclear reactors Nuclear power plants Oxidizing agents Experiments Algorithms Correlation analysis Resins Process parameters Emissions Parameter sensitivity Effluents Sorting algorithms Optimization models Machine learning Nuclear energy Cluster analysis Genetic algorithms Oxidation Temperature Synergistic effect Gaussian process Fluidized bed reactors
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