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Treffer: Datasets for Development of Machine Learning Models in Blue Hydrogen Production Process

Title:
Datasets for Development of Machine Learning Models in Blue Hydrogen Production Process
Authors:
William George Davies, Paulina Quintanilla Perez, Yang Yang, Salman Masoudi Soltani
Publication Year:
2025
Subject Terms:
Carbon capture engineering (excl. sequestration), Chemical engineering design, Process control and simulation, Separation technologies, Machine Learning Algorithms Chemicals, Blue hydrogen, carbon capture & storage
Document Type:
dataset
Language:
unknown
Relation:
https://figshare.com/articles/dataset/Datasets_for_Development_of_Machine_Learning_Models_in_Blue_Hydrogen_Production_Process/29478566
DOI:
10.17633/rd.brunel.29478566.v1
Availability:
https://doi.org/10.17633/rd.brunel.29478566.v1
https://figshare.com/articles/dataset/Datasets_for_Development_of_Machine_Learning_Models_in_Blue_Hydrogen_Production_Process/29478566
Rights:
CC BY 4.0
Accession Number:
edsbas.3B3602D
Database:
BASE

Weitere Informationen

This is a dataset that was used to develop a surrogate machine learning model. The data includes a number of dependent (key performance indicators - KPIs) and independent variables that are listed at the top of the spreadsheet. The model was used to identify and rank the independent factors that affect the predefined set of KPIs. The generated dataset was produced using Aspen software, with a detailed process model for blue hydrogen production, flow-sheeted and optimised.