With the depletion of fossil fuels, the energy crisis can now be visualized shortly. At the same
time, waste production in various fields is also on the rise. This has led to a global waste …

Biomass is regarded as an important renewable resource, which plays a critical role in the
development of sustainable energy systems. Biomass can be converted into energy or …

This study presents a novel model for the simulation of co-gasification of rice husk and
plastic using Aspen Plus. The new approach involved using an artificial neural network …

Lignin from industrial crops is the most promising feedstock which can be used to function
modern industrial societies. However, it is very challenging to separate lignin from …

A two-stage gasification has been proven as an effective and robust approach for converting
low-valued and/or highly heterogeneous materials ie waste, into hydrogen and/or syngas …

This comprehensive review delves into the intersection of ensemble machine learning
models and interpretability techniques for biomass and waste gasification, a field crucial for …

In this study, a long short-term memory (LSTM) based dynamic recurrent neural network
model is proposed for multi-step ahead temperature predictions in a pilot-scale fluidized bed …

Global warming and climate change urge the deployment of close carbon-neutral
technologies via the synthesis of low-carbon emission fuels and materials. An efficient …

As the depletion of fossil fuels looms and the potential for an energy crisis grows, the global
waste management predicament is exacerbated by increasing waste generation across …

Biomass gasification will be a competitive renewable technology to meet the world's energy
demand in the near future. However, extremely time-consuming and costly experimental …