Statistical models for predicting the higher heating value of torrefied kesambi leaves

Statistical models for predicting the higher heating value of torrefied kesambi leaves

The study investigates the effects of temperature and residence time on the energy density of kesambi leaves through experimental torrefaction, proximate analysis, and response surface methodology with a central composite design (RSM-CCD). The torrefaction process enhances the energy density of kesa...

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Bibliographic Details
Main Author: Jemmy J.S. Dethan
Format: Article
Language:English
Published: Polish Academy of Sciences 2024-12-01
Series:Journal of Water and Land Development
Subjects:
biomass conversion
energy density
kesambi leaves
proximate analysis
torrefaction
Online Access:https://journals.pan.pl/Content/133337/2024-04-JWLD-10.pdf
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