What is it about?
Rambutan fruit seeds, usually considered waste, have hidden potential as a source of renewable energy. This study explores how these seeds break down when heated without oxygen—a process called pyrolysis—which can turn them into useful fuels and chemicals. Using machine learning, the research predicts how efficiently the seeds convert, helping to optimize the process for better energy recovery. The study highlights a sustainable way to transform fruit waste into valuable energy, reducing pollution and supporting cleaner, greener technologies.
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Why is it important?
This study uniquely combines detailed thermal analysis with advanced machine learning models to predict how rambutan seed waste breaks down during pyrolysis, unlocking its energy potential. At a time when sustainable waste management and renewable energy are critical, this research offers a data-driven approach to transform underutilized fruit waste into clean energy. By improving the accuracy of kinetic modeling, it paves the way for optimized pyrolysis reactor design and supports circular economy goals, making a meaningful contribution to bioenergy development and environmental sustainability
Read the Original
This page is a summary of: Characterization and pyrolysis kinetic modelling of lignocellulosic waste from rambutan seeds: A machine learning approach, Biomass and Bioenergy, January 2026, Elsevier,
DOI: 10.1016/j.biombioe.2025.108426.
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