模拟,验证和操作变量优化固体氧化物燃料电池的模型,验证和操作变量优化
Samuel Tadeu DE P Andrade1, Rudolf Huebner1, Tulio Matencio2
1Federal University of Minas Gerais, Department of Mechanical Engineering, Antônio Carlos Avenue, 6627, 31270-901 Belo Horizonte, MG, Brazil.
Anais da Academia Brasileira de Ciencias
|November 26, 2025
概括
固体氧化物燃料电池 (SOFC) 提供高效率和减少排放,特别是用燃料. 这项研究优化了使用热力学模型和先进算法的SOFC操作,以最大限度地提高功率输出.
科学领域:
- 电化学 电化学 电化学
- 热力学是一种热力学.
- 能源转换 能源转换
背景情况:
- 固体氧化物燃料电池 (SOFC) 是先进的能量转换设备,具有高电效率 (>50%) 和低污染物排放.
- 它们的应用范围包括固定发电,航空,以及用于气和电力生产的混合系统.
研究的目的:
- 开发和利用SOFC的热力学一次性模型来确定电压-电流密度特征.
- 采用启发式和确定性优化算法来识别最大单电池功率输出的关键操作变量.
- 提供详细的分析超电位传输,特别是度超电位,及其计算.
主要方法:
- 使用热力学块模型来模拟SOFC的性能.
- 应用了启发式和决定式优化算法来找到最佳的操作参数.
- 巴特勒-沃尔默方程是使用隐式方法来提高准确度来解决的.
- 物理和化学现象与建模变量联系在一起,以便进行全面分析.
主要成果:
- 发现更高的操作压力和温度显著改善了SOFC的功率输出.
- 启发式和确定性优化算法都为最大功率产生了可比的结果.
- 该模型成功估计了关键的操作变量,并评估了参数对性能的影响.
结论:
- 开发的SOFC模型可以在混合系统中实现高效的操作.
- 该研究提供了一种估计关键操作变量和理解参数影响的方法.
- 通过先进的建模和算法方法可以实现优化的SOFC操作.
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