Data underlying the publication: Water Dissociation Efficiencies control the viability of reverse-bias bipolar membranes for CO2 Electrolysis

DOI:10.4121/5c4fc325-a71b-4ca8-9c1b-01c0405936a2.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/5c4fc325-a71b-4ca8-9c1b-01c0405936a2

Datacite citation style

Prats Vergel, Gerard; Mu, Huan; Kolobov, Nikita; Biemolt, Jasper; Vermaas, D.A. (David) et. al. (2025): Data underlying the publication: Water Dissociation Efficiencies control the viability of reverse-bias bipolar membranes for CO2 Electrolysis. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5c4fc325-a71b-4ca8-9c1b-01c0405936a2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains all the data used to develop the work described in the manuscript "Water Dissociation Efficiencies control the viability of reverse-bias bipolar membranes for CO2 Electrolysis". The experimental numerical data provided has been used to study the effects of current density, concentration and cation identity on the WDE. For this calculation, it is provided all the experimental raw data (RawData_Experiments_rBPME_WDE.zip) generated during the experiments (.xlsx, .docx, and .txt files) including the gas concentrations from the GC, chronopotentiometry voltage-current data, mass flow meter data for FE calculations and titration values used to derive WDEs. The processed data used to create the manuscript and SI figures is also provided in separate files (SourceData_Manuscript.zip, SourceData_SupplementaryData.xlsx). In addition it is also attached the model scripts in Python (.py) developed to simulate the pH drop of the anolyte (Model_rBPM_WDE_longterm.zip).

History

  • 2025-10-15 first online, published, posted

Publisher

4TU.ResearchData

Format

Script/.py, spreadsheet/.xlsx, textfile/.txt, word/.docx

Organizations

TU Delft, Faculty of Applied Sciences, Department of Chemical Engineering (ChemE), Section of Materials for Energy Conversion and Storage (MECS)

DATA

Files (4)