Data on propylene/propane separation by the externally heat-integrated distillation column (EHIDiC) using data-driven analysis.
Data-driven
Heat-integrated distillation column
Propylene-propane separation
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
19
10
2019
revised:
29
02
2020
accepted:
06
04
2020
entrez:
13
5
2020
pubmed:
13
5
2020
medline:
13
5
2020
Statut:
epublish
Résumé
Nine hundred data were collected from rigorously simulated EHIDiC for propylene/propane separation using the Aspen Plus-Matlab communication platform. Statistical analysis was performed to give a further understanding of EHIDiC, a highly coupled system. The input variables, integrated stages, and the corresponding heat of two couples of external exchangers were generated stochastically in a wide range to cover the completely reasonable operation window. The results of blocks and streams in the flowsheet were calculated as the output data, including the flow rate, the temperature, and the pressure, as well as Total Annualized Cost (TAC). The data can be reused to design and optimize both the steady and dynamic schemes of EHIDiC, especially with machine learning methods. This manuscript gave a full description of collecting and analyzing of the data used in the research article "Data-driven analysis and optimization of externally heat-integrated distillation columns (EHIDiC)" [1].
Identifiants
pubmed: 32395576
doi: 10.1016/j.dib.2020.105559
pii: S2352-3409(20)30453-4
pii: 105559
pmc: PMC7210417
doi:
Types de publication
Journal Article
Langues
eng
Pagination
105559Informations de copyright
© 2020 Published by Elsevier Inc.