1. Performance analysis and optimization of a zero-emission solar-driven hydrogen production system based on solar power tower plant and protonic ceramic electrolysis cells.
- Author
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Wang, Chen, Zhu, Meng, Li, Zheng, Xu, Haoran, Zheng, Keqing, Han, Minfang, and Ni, Meng
- Subjects
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ARTIFICIAL neural networks , *HIGH temperature electrolysis , *SOLAR cells , *SOLAR energy , *BRAYTON cycle , *SOLAR power plants , *TRIGENERATION (Energy) - Abstract
The solar-driven high-temperature steam electrolysis is promising for efficient large-scale H 2 production. In this study, a comprehensive component-to-system model and optimization framework is developed to investigate the performance of a zero-emission H 2 production system based on solar power plant and protonic ceramic electrolysis cell. Compared to previous system studies, the detailed description of cell internal operating characteristics is realized by integrating multi-physics simulation and artificial neural network. After parametric analyses, it is found that the system energy/exergy efficiency and co-generation performance are complicated by each subsystem. And the optimal system performance (η th = 50.63 %, Z = 179.63 $·h−1 and η ex = 33.03 %, Z = 178.94 $·h−1, with LCOE = 0.172 $·kWh−1 and Z H2 = 6.497 $·kg−1) is obtained considering cell operating features and system energy-exergy-economic factors through multi-objective optimizations. Besides, the tradeoff between system maximum H 2 production capacity and cell internal thermal conditions is revealed. This study can facilitate the development of zero-emission green H 2 production driven by renewable energy. • A novel SPT-PCEC based integrated system is proposed for green H 2 production. • Both PCEC state and system energy-exergy-economic performance are considered. • Effects of each subsystem parameters on system performance are analyzed. • Optimal system performance under different constraints is obtained. • The tradeoff between system H 2 capacity and PCEC thermal conditions is revealed. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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