基于基本物理原理和先前文献报道的模型预测碱性电解槽性能的数学模型

Antonios Antoniou, Cesar Celis, A. Berastain
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引用次数: 1

摘要

电解制氢是一个重要的研究课题,因为使用氢作为燃料在不久的将来有可能显著减少气体排放。水的电解分解成氢和氧可以使用例如太阳能辐射等可再生能源产生的电力来实现。电解槽内发生的电解过程是一个复杂的现象,对相关过程进行清晰准确的数学表示对于准确预测电解槽性能至关重要。因此,本文提出了一个综合的数学模型,能够恰当地描述碱性电解槽在效率和产氢率方面的性能。该数学模型基于几个物理概念,如电子和离子转移引起的能量损失、熵增加、电解质流速、电解槽的物理结构和结构材料。与现有模型相比,新提出的模型更完整,因为它包含了更多影响电池性能的操作参数(6个)。一旦发展起来,所提出的模型就会使用文献中可用的实验数据进行微调。利用新模型得到的结果与Ulleberg的实验数据吻合较好。在此基础上,得出结论:建立基于物理原理的数学模型对于理解电解相关过程以及如何以最简单、最可靠的方式利用这些过程至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Mathematical Model to Predict Alkaline Electrolyzer Performance Based on Basic Physical Principles and Previous Models Reported in Literature
Hydrogen production through electrolysis is an important research topic since the use of hydrogen as a fuel has the potential to significantly reduce gaseous emissions in near future. The electrolytic splitting of water into hydrogen and oxygen can be carried out using for instance electricity generated from renewable energy sources such as solar radiation. Electrolysis processes occurring in electrolyzer cells are complex phenomena and a clear and accurate mathematical representation of the referred processes is vital to accurate predict electrolyzer cells performance. So a comprehensive mathematical model capable of properly describing alkaline electrolyzer cells performance, in terms of efficiency and hydrogen production rate, is proposed in this work. The mathematical model is based on several physical concepts such as energy losses due to electron and ion transfer, entropy increase, electrolyte flow rate, and electrolyzer physical structure and construction material. Compared to existing models, the new proposed one is more complete as it includes more operational parameters (six) affecting cells performance. Once developed, the proposed model has been fine-tuned using experimental data available in literature. The results obtained using the new developed model are in good agreement with Ulleberg’s experimental data. Based on the work carried out here, it is concluded that developing a mathematical model based on physical principles is crucial in the comprehension of electrolysis related processes and how to utilize them in the simplest and most reliable way.
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