Data for the enhancement of predictive models for steam biomass gasification

Published: 20 June 2024| Version 1 | DOI: 10.17632/2zc2hw7xvk.1


The data included in this dataset corresponds to the experimental data of biomass steam gasification, obtained through a systematic literature review. A total of 17 articles and 103 data entries were obtained, including a wide range of types of biomass, gasifier temperature, and steam-to-biomass ratio. The file titled "Training dataset" includes the 103 data entries, which were normalized to ensure that the sum of the molar fractions of hydrogen, carbon monoxide, carbon dioxide, and methane equals 1. Besides, ultimate analysis was converted to dry basis, including ash content. The file titled "Validation" shows the procedure to evaluate four predictive models for steam biomass gasification: A stoichiometric model, built on MATLAB, an equilibrium model, based on ASPEN Plus, and a machine learning model, built on Python and based on the H2O AutoML module.



Universidad de La Sabana


Gasification, Biomass Conversion