The development of proton exchange membrane water electrolysis for hydrogen production to satisfy the industrial demand regarding scale, performance and lifetime is challenging. The objectives with the highest priority are a reduction of the power-specific cost and increases in efficiency, reliability, and durability. The main drivers for technology development are usually ex situ and in situ experiments with new or customised materials at various operating conditions. However, modelling was already able to support technology development in the past and will even gain more importance in future. This article looks at the importance of modelling for further development from an engineering perspective and therefore focuses on the macroscopic and microscopic levels. It is stated that the advances in computational engineering and digitalisation in combination with the trend to machine learning/artificial neural networks may even lead to more intensive use of models.

开发用于制氢的质子交换膜水电解以满足工业对规模、性能和寿命的需求是具有挑战性的。具有最高优先级的目标是降低特定功率的成本并提高效率、可靠性和耐用性。技术开发的主要驱动力通常是异地和原地在各种操作条件下对新材料或定制材料进行实验。然而，建模在过去已经能够支持技术发展，并且在未来将变得更加重要。本文从工程角度着眼于建模对进一步发展的重要性，因此重点关注宏观和微观层面。据称，计算工程和数字化的进步与机器学习/人工神经网络的趋势相结合，甚至可能导致模型的更密集使用。