This study assesses renewable hydrogen production via gasification of residual biomass,
using artificial neural networks (ANNs) for predictive modeling. The process uses residues …

In order to accurately anticipate the proficiency of downdraft biomass gasification linked with
a water–gas shift unit to produce biohydrogen, a model based on an artificial neural network …

The main objective of this study was to develop a prediction model using artificial neural
networks (ANNs) and analyze the performance indicators of a green electric energy …

Energy generation from renewable and carbon-neutral biomass is significant in the context
of a sustainable energy framework. Hydrogen can be conveniently extracted from biomass …

Gasification technology is an effective way to achieve high value-added utilization of solid
waste. In this work, a typical fluidized bed reactor was used to investigate the gasification of …

In this study, a robust model using bootstrapped aggregated neural network (BANN) was
developed for optimising operating conditions of a two-stage gasification for high carbon …

Hydrogen plays a significant role as an alternative feedstock in the production of several
industrial chemicals such as methanol and ammonia; it can also be used as a clean fuel for …

Growing the consumption of fossil fuels and emerging global warming issue have driven the
research interests toward renewable and environmentally friendly energy sources. Biomass …

Prediction of clean hydrogen production via biomass gasification by supervised machine
learning algorithms was studied. Lab-scale gasification studies were performed in a steel …

Gasification is a sustainable approach for biomass waste treatment with simultaneous
combustible H 2-syngas production. However, this thermochemical process was quite …