Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy

Pambudi, Suluh; Saechua, Wanphut

doi:10.1051/bioconf/202515002002

Heating value prediction model of Acacia mangium Willd using near infrared spectroscopy

Author(s)

Pambudi, Suluh

Saechua, Wanphut

Date Issued

January 15, 2025

Type

Conference Paper

DOI

10.1051/bioconf/202515002002

Abstract

This study reported the prediction model of heating value for the Acacia mangium Willd which is the promoted as energy plant for the farmer to grow in the farm. Its heating value is approximately of 19 kJ/kg which provides high potential using for an alternative energy as biomass. The near infrared spectroscopy technique (NIR) is used to create model to predict the heating value of this biomass in order to reduce the investigated time. The results of model on the validation set were the coefficient of determination (R²) of 71%, RMSEP of 246 J/g, RPD 1.87 and bias of 33.7 J/g. These results showed the potential and possibility to apply the NIR prediction technique. The robust model was suggested to carried out for more accuracy and may be applied in the online system analysis.

Citation

Bio Web of Conferences, 150, 2025