Experimental data: Optimizing alkaline solvent regeneration through bipolar membrane electrodialysis for carbon capture
DOI:10.4121/3c24cd14-e0fc-4b66-802d-3315ffc4fffa.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: 10.4121/3c24cd14-e0fc-4b66-802d-3315ffc4fffa
DOI: 10.4121/3c24cd14-e0fc-4b66-802d-3315ffc4fffa
Datacite citation style
Philipp Kuntke; Hubertus V.M. Hamelers; Shu, Qingdian; Blauw, Robert; Vallejo Castaño, Sara et. al. (2024): Experimental data: Optimizing alkaline solvent regeneration through bipolar membrane electrodialysis for carbon capture. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3c24cd14-e0fc-4b66-802d-3315ffc4fffa.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
309
views
127
downloads
Categories
Geolocation
Wetsus, Leeuwarden
Time coverage July 2022 to January 2023
Licence CC BY 4.0
Interoperability
This dataset contains data collected during experiments on optimising alkaline solvent regeneration through bipolar membrane electrodialysis for carbon capture. It is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work.
This work was performed at Wetsus, European Centre of Excellence for Sustainable Water Technology, between July 2022 and January 2023.
History
- 2024-04-03 first online, published, posted
Publisher
4TU.ResearchDataFormat
CSVFunding
- ConsenCUS (grant code 101022484) [more info...] Horizon 2020 research and innovation programme
Organizations
Wetsus, European Centre of Excellence for Sustainable Water TechnologyEnvironmental Technology, Wageningen University & Research
Center for Energy Resources Engineering (CERE), Department of Chemical and Biochemical Engineering, Technical University of Denmark
DATA
Files (2)
- 3,708 bytesMD5:
95eb2b5ebf533f081148581f619b1ee2README.txt - 5,104 bytesMD5:
3d05e476b2faa32b0f271fa8ec98f3892023_dataset_parametric_study_BPED_CO2_regneration.csv -
download all files (zip)
8,812 bytes unzipped





