Robustness analysis in supercritical CO2 power generation system configuration optimization
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DOI: 10.1016/j.energy.2021.122956
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Cited by:
- Wang, Yuqi & Liu, Tianyuan & Meng, Yue & Zhang, Di & Xie, Yonghui, 2022. "Integrated optimization for design and operation of turbomachinery in a solar-based Brayton cycle based on deep learning techniques," Energy, Elsevier, vol. 252(C).
- Sun, Lei & Tang, Bo & Xie, Yonghui, 2022. "Performance assessment of two compressed and liquid carbon dioxide energy storage systems: Thermodynamic, exergoeconomic analysis and multi-objective optimization," Energy, Elsevier, vol. 256(C).
- Sun, Lei & Liu, Tianyuan & Wang, Ding & Huang, Chengming & Xie, Yonghui, 2022. "Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems," Applied Energy, Elsevier, vol. 324(C).
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Keywords
Supercritical CO2 power generation; Robustness analysis; Configuration optimization; Graph theory; Simulated annealing;All these keywords.
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