Journal
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
Volume 52, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.seta.2022.102344
Keywords
Solid oxide electrolysis cell; Co-electrolysis; Renewable energy storage; Numerical simulation; Dynamic characteristic
Funding
- Zhejiang Provincial Key RD Program [2022C01043]
- Zhejiang Provincial Natural Science Foundation [PolyU 152064/18E, N_PolyU552/20]
- Research grant Council, University Grants Committee, Hong Kong SAR
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A multi-physics SOEC model was established to investigate the dynamic characteristics of SOECs using a real photovoltaic power supply for co-electrolysis of H2O and CO2. The study found that a high CO2 mole fraction can help inhibit average temperature fluctuation, and the output H-2/CO ratio is closely related to the gas utilization rate and inlet gas temperature.
Direct utilization of fluctuational renewable powers leads to rapid changes of working conditions and brings difficulties in the operation of solid oxide electrolysis cells (SOECs). Herein, a multi-physics SOEC model is established to investigate its dynamic characteristics using a real photovoltaic power supply for co-electrolysis of H2O and CO2. Dynamic responses of key performances including the current density, the average SOEC temperature, the H2O/CO2 conversion rate and the output H-2/CO ratio are analyzed over a whole day. It is found that a high CO2 mole fraction can help inhibit average temperature fluctuation, where the maximum temperature difference decreases from 110 to 57 K with the inlet CO2 mole fraction increasing from 0.2 to 0.8. Besides, the largest temperature gradient occurs in the middle of the cell in the morning and gradually migrates to the inlet. Generally, a high inlet gas temperature can increase the outlet H-2/CO ratio especially at low voltages. The outlet H-2/CO ratio is also found to be closely related with the gas utilization rate, where a utilization rate of 0.6 shows 10% higher H-2/CO ratio than that of 0.8. This study can provide a guideline for the performance optimization of SOECs with fluctuating power supply.
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