Prediction Heating Values of Lignocellulosics from Biomass Characteristics

The paper provides biomasses characteristics by
proximate analysis (volatile matter, fixed carbon and ash) and
ultimate analysis (carbon, hydrogen, nitrogen and oxygen) for the
prediction of the heating value equations. The heating value
estimation of various biomasses can be used as an energy evaluation.
Thirteen types of biomass were studied. Proximate analysis was
investigated by mass loss method and infrared moisture analyzer.
Ultimate analysis was analyzed by CHNO analyzer. The heating
values varied from 15 to 22.4MJ kg-1. Correlations of the calculated
heating value with proximate and ultimate analyses were undertaken
using multiple regression analysis and summarized into three and two
equations, respectively. Correlations based on proximate analysis
illustrated that deviation of calculated heating values from
experimental heating values was higher than the correlations based
on ultimate analysis.

• Kaltima Phichai
• Pornchanoke Pragrobpondee
• Thaweesak Khumpart
• Samorn Hirunpraditkoon

• Heating value equation
• Proximate analysis
• Ultimate analysis.

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