Dataset on the physicochemical properties of raw and torrefied wood sawdust under varying torrefaction conditions

This article presents a dataset on the physicochemical properties of wood sawdust subjected to torrefaction under different process conditions. The dataset includes measurements for raw sawdust and samples torrefied at varying temperatures and durations. Key parameters reported are mass yield, energ...

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Bibliographic Details
Main Authors: Noor Asma Fazli, Abdul Samad, Suriyati, Saleh
Format: Research Data
Language:English
Published: Elsevier
Subjects:
Online Access:https://umpir.ump.edu.my/id/eprint/45536/
Description
Summary:This article presents a dataset on the physicochemical properties of wood sawdust subjected to torrefaction under different process conditions. The dataset includes measurements for raw sawdust and samples torrefied at varying temperatures and durations. Key parameters reported are mass yield, energy yield, higher heating value (HHV), enhancement factor of HHV, proximate analysis (volatile matter, fixed carbon, and ash content), ultimate analysis (C, H, N, O, and S content), and elemental ratios (H/C and O/C). The data were collected using standard analytical methods for biomass characterization. Torrefaction was conducted at controlled temperatures ranging from 240 °C to 300 °C for residence times of 15–60 minutes. Mass and energy yields were calculated based on the initial and final sample weights and calorific values. The HHV was determined using a bomb calorimeter, while proximate analysis was carried out according to ASTM procedures. Ultimate analysis was performed using a CHNS analyzer, and oxygen was estimated by difference. Atomic ratios were calculated to provide insights into fuel quality changes induced by torrefaction. The dataset is presented in tabular format, allowing easy integration into further statistical, thermodynamic, or modeling studies. It provides a valuable reference for researchers working on biomass upgrading, energy conversion, and sustainable fuel development. In particular, the data can support the development of empirical and predictive models for biomass torrefaction, facilitate comparative analysis with other feedstocks, and contribute to life cycle or techno-economic assessments of biomass-to-energy pathways. The dataset is hosted in an open-access format, ensuring reusability for energy engineers, material scientists, and policy researchers interested in renewable energy and biomass valorization.