Biomass gasification simulation dataset for ANN-based exergy and syngas quality prediction

Description

This dataset contains the proximate and ultimate analysis data of 19 biomass samples (15 used for artificial neural network training and 4 for external validation), along with the corresponding syngas composition, exergy, and lower heating value (LHV) results obtained through Aspen Plus® gasification simulations. The proximate analysis includes moisture content (MC), ash content (ASH), volatile matter (VM), and fixed carbon (FC), while the ultimate analysis includes carbon (C), hydrogen (H), nitrogen (N), sulfur (S), and oxygen (O) content. Simulation outputs include syngas composition (H2, CO, CO2, CH4), exergy, and LHV values used to train and validate a machine learning predictive model for biomass gasification performance assessment.

Institutions

• Universidade Federal do Pará

  Pará, Belém

Categories

Licence