Tuning co-torrefaction of giant leucaena wood and sugarcane leaf for high-efficiency biocoal production
4
Issued Date
2026-09-01
Resource Type
eISSN
2589014X
Scopus ID
2-s2.0-105042925768
Journal Title
Bioresource Technology Reports
Volume
35
Rights Holder(s)
SCOPUS
Bibliographic Citation
Bioresource Technology Reports Vol.35 (2026)
Suggested Citation
Parnthong J., Be C., Chukaew P., Sosa N., Thongkhao K., Thoai D.N., Khemthong P., Kuboon S. Tuning co-torrefaction of giant leucaena wood and sugarcane leaf for high-efficiency biocoal production. Bioresource Technology Reports Vol.35 (2026). doi:10.1016/j.biteb.2026.102908 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/117729
Title
Tuning co-torrefaction of giant leucaena wood and sugarcane leaf for high-efficiency biocoal production
Author's Affiliation
Corresponding Author(s)
Other Contributor(s)
Abstract
Using a single type of biomass for electricity generation is limited by its high moisture content, low heating value, high ash content, and seasonal feedstock shortages. This study explored co-torrefaction conditions for producing solid biofuel from a mixture of giant leucaena wood (GL) and sugarcane leaf (SL). Response surface methodology identified optimal conditions for minimizing ash content at 243.40 °C, 4.77 min, and an 88:12 GL:SL ratio. Under these conditions, the biocoal exhibited a higher heating value (HHV) of 20.28 MJ/kg, an energy yield of 73.99 wt%, and an ash content of 2.4 wt%. In the SL-abundant season, optimal parameters were determined to be 238 °C, 55 min, and a 55:45 GL:SL ratio. These conditions yielded biocoal with an HHV of 22.09 MJ/kg, an energy yield of 68.75 wt%, and an ash content of 8 wt%. Temperature was the primary factor affecting HHV and energy yield, while all parameters significantly influenced ash content. The produced biocoal demonstrated enhanced combustion efficiency compared to biocoal from SL and commercial sub-bituminous coal. Its use in a very small power producer (VSPP) power plant could decrease fuel storage needs by approximately 18.34%, lower transportation costs by about USD 14,474.66 yearly, and yield projected annual revenues of USD 83,746.15 from carbon credits.