Water electrolysis

严厉 标杆管理 制氢 计算机科学 电解水 可再生能源 电解 纳米技术 生化工程 工艺工程 工程类 材料科学 化学 电气工程 业务 物理化学 有机化学 营销 几何学 电解质 数学 电极
作者
Arthur J. Shih,Mariana C. O. Monteiro,Federico Dattila,Davide Pavesi,Matthew F. Philips,Alisson H. M. da Silva,Rafaël E. Vos,Kasinath Ojha,Sunghak Park,Onno van der Heijden,Giulia Marcandalli,Akansha Goyal,Matias Ariel Villalba,Marc E. Rothenberg,G. T. Kasun Kalhara Gunasooriya,Ian T. McCrum,Rik V. Mom,Núria López,Marc T. M. Koper
出处
期刊:Nature Reviews Methods Primers [Springer Nature]
卷期号:2 (1) 被引量:81
标识
DOI:10.1038/s43586-022-00164-0
摘要

Electrochemistry has the potential to sustainably transform molecules with electrons supplied by renewable electricity. It is one of many solutions towards a more circular, sustainable and equitable society. To achieve this, collaboration between industry and research laboratories is a must. Atomistic understanding from fundamental experiments and modelling can be used to engineer optimized systems whereas limitations set by the scaled-up technology can direct the systems studied in the research laboratory. In this Primer, best practices to run clean laboratory-scale electrochemical systems and tips for the analysis of electrochemical data to improve accuracy and reproducibility are introduced. How characterization and modelling are indispensable in providing routes to garner further insights into atomistic and mechanistic details is discussed. Finally, important considerations regarding material and cell design for scaling up water electrolysis are highlighted and the role of hydrogen in our society’s energy transition is discussed. The future of electrochemistry is bright and major breakthroughs will come with rigour and improvements in the collection, analysis, benchmarking and reporting of electrochemical water splitting data. Electrochemical water splitting using renewable electricity is a promising method for the sustainable production of hydrogen. This Primer overviews considerations, techniques and methods for water electrolysis and describes methods to improve rigour and reproducibility when analysing electrochemical data.
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