Thermochemical treatment is a promising technique for biomass disposal and valorization.
Recently, machine learning (ML) has been extensively used to predict yields, compositions …

Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …

In the past decades, the amount of biomass waste has continuously increased in human
living environments, and it has attracted more and more attention. Biomass is regarded as …

The world energy consumption has increased by+ 195% since 1970 with more than 80% of
the energy mix originating from fossil fuels, thus leading to pollution and global warming …

As a byproduct of sewage treatment in wastewater treatment plants, sludge has dual
attributes with pollution and resource, and its research is important to ecological …

In this work, machine learning (ML) applications in microalgal biofuel production are
reviewed. First, the basic steps of algal biofuel production are summarized followed by a …

Feedstock properties play a crucial role in thermal conversion processes, where
understanding the influence of these properties on treatment performance is essential for …

Data-driven modeling is being increasingly applied in designing and optimizing organic
waste management toward greater resource circularity. This study investigates a spectrum of …

Lignocellulose can be converted into biofuel or functional materials to achieve high value-
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …