Dataset for Predicting pH rise as a control measure for integration of CO2 biomethanisation with anaerobic digestion
Dataset for Predicting pH rise as a control measure for integration of CO2 biomethanisation with anaerobic digestion
This dataset supports the publication:
AUTHORS: Bing Tao, Yue Zhang, Sonia Heaven and Charles J Banks
TITLE: Predicting pH rise as a control measure for integration of CO2 biomethanisation with anaerobic digestion
JOURNAL: Applied Energy
University of Southampton
Tao, Bing
a016d442-8190-4f19-b71b-d3f7e4ce357f
Zhang, Yue
69b11d32-d555-46e4-a333-88eee4628ae7
Heaven, Sonia
f25f74b6-97bd-4a18-b33b-a63084718571
Banks, Charles
5c6c8c4b-5b25-4e37-9058-50fa8d2e926f
Tao, Bing
a016d442-8190-4f19-b71b-d3f7e4ce357f
Zhang, Yue
69b11d32-d555-46e4-a333-88eee4628ae7
Heaven, Sonia
f25f74b6-97bd-4a18-b33b-a63084718571
Banks, Charles
5c6c8c4b-5b25-4e37-9058-50fa8d2e926f
Tao, Bing and Zhang, Yue
(2020)
Dataset for Predicting pH rise as a control measure for integration of CO2 biomethanisation with anaerobic digestion.
University of Southampton
doi:10.5258/SOTON/D1343
[Dataset]
Abstract
This dataset supports the publication:
AUTHORS: Bing Tao, Yue Zhang, Sonia Heaven and Charles J Banks
TITLE: Predicting pH rise as a control measure for integration of CO2 biomethanisation with anaerobic digestion
JOURNAL: Applied Energy
Spreadsheet
Dataset_for_Predicting_pH_in_CO2_biomethanisation.xlsx
- Dataset
Text
readme_Dataset_for_Predicting_pH_in_CO2_biomethanisation.txt
- Dataset
More information
Published date: 2020
Identifiers
Local EPrints ID: 442756
URI: http://eprints.soton.ac.uk/id/eprint/442756
PURE UUID: 75769c63-d48d-41d3-9b15-f5e22b5ac372
Catalogue record
Date deposited: 24 Jul 2020 16:46
Last modified: 06 May 2023 01:39
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