READ ME File For 'PhD thesis datasets'

Dataset DOI: 10.5258/SOTON/D3668

Date that the file was created: September, 2024

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GENERAL INFORMATION
ReadMe Author: Daniel Li, University of Southampton [0000-0002-5664-0344]

Date of data collection: Feb 2023 - Sep 2024

Information about geographic location of data collection: University of Southampton, U.K.

Related projects:
Multi-Criteria Decision Making: Sustainable Water Desalination
Holistically Green and Sustainable Pathway Prioritisation for Chemical Process Plant Systems via a FAHP-TOPSIS Framework

Licenses/restrictions placed on the data, or limitations of reuse: CC-BY

This dataset supports the publication:
AUTHOR: Daniel Li
THESIS TITLE: A Holistic Approach Towards Incorporating and/or Improving the Green Sustainabilty of Chemical Process Plant Systems (2025)

Description: The following Excel file contains all experimental data for the four representative case studies of the thesis:
1) Sustainable water desalination ('Desal', 'DESAL2')
2) Isopropanol synthesis via isopropyl acetate ('TFNs IPA', 'Entropy IPA', 'IPA weights', 'FAHP IPA')
3) Green ammonia production ('FAHP', 'GNH3', 'VIKOR NH3', 'PII')
4) Bioethanol production ('Bioethanol', 'Bioethanol (2)', 'Bioeth M', 'Bioeth PII')

The data was used to incorporate and/or improve holistically green sustainability in small-scale, modular chemical process plant cases.
Cases 1-3 were purely simulation-based. Case 4 sheets (i.e. bioethanol) contains data that was collected from a pilot-plant-scale experiment with a CE640e distillation unit. 
The following Excel file contains raw and subsequently normalised (via entropy weighting) data, as well as sensitivity analyses to evaluate methodology robustness. 

Acronyms, abbrieviations, and units of measurement can be found in the glossary of the PhD thesis.