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March 1, 2022
Conference Paper
Title
High-throughput technology in electrochemistry
Abstract
In order to reach a 55% reduction in greenhouse gas by 2030 and achieve net zero by 2050 hydrogen technologies will play a vital role in the next decades in Europe. In particular, water electrolysis will become a key technology for producing green hydrogen. The first generation of electrolyzers is currently installed in large-scale industrial applications such as refineries or steel factories.
The operational experience gathered there will lbe the basis for further optimization. In addition, large-scale production and material use are in a continuous improvement and quality control process. All of these efforts need strong R&D support with enhanced experimentation and testing technology. At present, classical single fold test technology or short stacks are mostly used for electrochemical R&D on electrolysis or fuel cell applications.
Due to the obvious similarity between el13ctrocatalysis and heterogeneous catalysis, combinatorial methods developed for the latteir can also be applied in electrocatalysis. The objective in this common project was to build on this analogy and to introduce a new tool for combinatorial testing in electrocatalysis. The aim was to address the electrochemical synthesis of renewable feeds, for example, or the conveirsion of these feeds to release stored energy.
Obviously, online analytic tools, applied in heterogeneous catalysis to measure gases or liquids, need to be supplemented by voltammetry and impedance spectroscopy instruments to measure electrochemical properties as well.
Therefore, electrocatalysis requires more advanced digitalization tools as the parameter space expands by numerous new electric parameters. It seems likely that the current tools will no longer suffice and must be upgraded by applying feedback loops or machine learning or both, for example.
In this presentation, we will introduce the high throughput platform for enhanced electrochemical testing to support the ongoing effort of optimizing electrochemical conversion technology. A case study will illustrate the key features of high throughput experimentation in the electrochemical space.
The operational experience gathered there will lbe the basis for further optimization. In addition, large-scale production and material use are in a continuous improvement and quality control process. All of these efforts need strong R&D support with enhanced experimentation and testing technology. At present, classical single fold test technology or short stacks are mostly used for electrochemical R&D on electrolysis or fuel cell applications.
Due to the obvious similarity between el13ctrocatalysis and heterogeneous catalysis, combinatorial methods developed for the latteir can also be applied in electrocatalysis. The objective in this common project was to build on this analogy and to introduce a new tool for combinatorial testing in electrocatalysis. The aim was to address the electrochemical synthesis of renewable feeds, for example, or the conveirsion of these feeds to release stored energy.
Obviously, online analytic tools, applied in heterogeneous catalysis to measure gases or liquids, need to be supplemented by voltammetry and impedance spectroscopy instruments to measure electrochemical properties as well.
Therefore, electrocatalysis requires more advanced digitalization tools as the parameter space expands by numerous new electric parameters. It seems likely that the current tools will no longer suffice and must be upgraded by applying feedback loops or machine learning or both, for example.
In this presentation, we will introduce the high throughput platform for enhanced electrochemical testing to support the ongoing effort of optimizing electrochemical conversion technology. A case study will illustrate the key features of high throughput experimentation in the electrochemical space.
Author(s)