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Research on performance optimization of hydrogen-doped natural gas SOFC power generation system
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Hongli Yan1, 2, 3, Guohua Yan4, Chen Fan1, 2, 3
Renewable Energy Resources | 2025, 43(12) : 1579 - 1587
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Renewable Energy Resources | 2025, 43(12): 1579-1587
Research on performance optimization of hydrogen-doped natural gas SOFC power generation system
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Hongli Yan1, 2, 3, Guohua Yan4, Chen Fan1, 2, 3
Affiliations
  • 1.School of Intelligent Manufacturing and New Energy, Xi'an Jiaotong University City College, Xi'an 710018, China
  • 2.Engineering Research Center of Robot and Intelligent Manufacturing, Universities of Shaanxi Province, Xi'an 710018, China
  • 3.The Tongue Muscle Rehabilitation Intelligent Robot System Youth Innovation Team of Shaanxi Universities, Xi'an 710018, China
  • 4.Shandong Tiexiong Xinsha Energy Co., Ltd., Heze 274000, China
Published: 2025-12-20
Outline
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This study establishes a model of a solid oxide fuel cell (SOFC) power generation system fueled by hydrogen-enriched natural gas using Cycle-Tempo software. It provides a detailed analysis of the impacts of key operating conditions-such as single-cell voltage and operating temperature-and critical parameters-including hydrogen blending ratio and anode fuel utilization-on the performance of the SOFC system. The results indicate that increasing the hydrogen blending ratio, inlet temperature, single-cell voltage, and anode fuel utilization can enhance power generation. Notably, a higher hydrogen blending ratio significantly reduces greenhouse gas emissions, particularly CO2. Under the conditions of a gas flow rate of 0.043 7 kg/s, single-cell voltage of 0.75 V, fuel utilization rate of 80%, fuel cell inlet temperature of 700 ℃, and hydrogen blending ratio of 60%, the system achieves a power output of 1 220.33 kW with an efficiency of 52.67%, while reducing carbon emissions by 27.86%.

hydrogen-enriched natural gas  /  solid oxide fuel cell  /  power generation  /  performance optimization
闫红丽, 闫国华, 樊琛. 掺氢天然气SOFC发电系统性能优化研究. 可再生能源, 2025 , 43 (12) : 1579 -1587 .
Hongli Yan, Guohua Yan, Chen Fan. Research on performance optimization of hydrogen-doped natural gas SOFC power generation system[J]. Renewable Energy Resources, 2025 , 43 (12) : 1579 -1587 .
Year 2025 volume 43 Issue 12
125
30
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Article Info
  • Receive Date:2024-10-16
  • Online Date:2026-09-23
  • Published:2025-12-20
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History
  • Received:2024-10-16
Funding
Affiliations
    1.School of Intelligent Manufacturing and New Energy, Xi'an Jiaotong University City College, Xi'an 710018, China
    2.Engineering Research Center of Robot and Intelligent Manufacturing, Universities of Shaanxi Province, Xi'an 710018, China
    3.The Tongue Muscle Rehabilitation Intelligent Robot System Youth Innovation Team of Shaanxi Universities, Xi'an 710018, China
    4.Shandong Tiexiong Xinsha Energy Co., Ltd., Heze 274000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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