质子交换膜电解池进水温度与流速参数分析及系统能效预测

操作参数的变化对质子交换膜(PEM)电解池的系统能效和耐用性产生重大影响。基于多物理场电热耦合模型,对进水温度和进水流速进行了参数分析,研究了它们对电解池性能的影响。研究表明,提高进水温度能够显著改善电解池的电流密度,进而提高电解制氢效率。然而,这也使得电解池内部的温度可能升至超过膜的热降解临界温度(80℃)。另一方面,提高进水流速加强了电解池内部的热交换,使温度分布更加均匀,避免了电解池尾部局部热点的形成。但提升温度和流速也增加了电解系统中泵和散热器的功耗,对系统能效产生了不利影响。采用机器学习的方法,将多物理场仿真与人工神经网络(ANN)相结合,利用仿真模型的电热特性数据并加入系统能效计算,建立代理模型对其质子膜上最高温度与电解系统能效进行快速预测,以便电解池系统实际运行中可以及时调整进口参数。其中,模型预测的均方根误差仅有0.106%,确保了预测精度,并大大提高了仿真效率。因此,对不同进口参数下电解池的系统能效预测提供了重要的参考依据。

Some new results of electric power science

At present, one of the most important demands in the world is energy. And improvement of technology and management can increase energy efficiency [1]. Compared with coal and oil, electricity is a kind of clean and efficient secondary energy. The development of the electric power science is essential for the human world and its new results are also remarkable. A modem power system has a very complex control structure, and is generally composed of hundreds of thousands of components. Consequently, it is very difficult and arduous to control and manage a modem power system to make it reliably and securely provide high quality yet economic power supply.