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Rapid non-destructive evaluation of moisture content and higher heating value of Leucaena leucocephala pellets using near infrared spectroscopy

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  • Posom, Jetsada
  • Shrestha, Amrit
  • Saechua, Wanphut
  • Sirisomboon, Panmanas

Abstract

The MC (moisture content) and HHV (higher heating value) of Leucaena leucocephala pellets using NIR (near infrared) spectroscopy was investigated in this study. The MC of the pellets was adjusted by subjecting the samples to different relative humidity environments. The samples were scanned in diffuse reflection mode at wavenumbers of 12,500–4000 cm−1. Partial least squares regression models correlating the MC and HHV with the NIR spectra were developed and validated by full cross validation. The model for MC and HHV provided coefficients of determination (R2) of 0.995 and 0.964, a root mean square error of cross validation (RMSECV) of 0.187%wb and 79.2 J g−1, bias of −0.0008%wb and 1.29 J g−1 and a RPD (ratio of prediction to deviation) of 13.9 and 5.30, respectively. The models had excellent accuracy. This rapid quality evaluation method may be used for trading of biomass pellets. An equation related MC and HHV was also developed.

Suggested Citation

  • Posom, Jetsada & Shrestha, Amrit & Saechua, Wanphut & Sirisomboon, Panmanas, 2016. "Rapid non-destructive evaluation of moisture content and higher heating value of Leucaena leucocephala pellets using near infrared spectroscopy," Energy, Elsevier, vol. 107(C), pages 464-472.
    • Handle: RePEc:eee:energy:v:107:y:2016:i:c:p:464-472
    DOI: 10.1016/j.energy.2016.04.041
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    References listed on IDEAS

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    1. Gillespie, Gary D. & Everard, Colm D. & McDonnell, Kevin P., 2015. "Prediction of biomass pellet quality indices using near infrared spectroscopy," Energy, Elsevier, vol. 80(C), pages 582-588.
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    Cited by:

    1. Posom, Jetsada & Sirisomboon, Panmanas, 2017. "Evaluation of lower heating value and elemental composition of bamboo using near infrared spectroscopy," Energy, Elsevier, vol. 121(C), pages 147-158.
    2. Bijendra Shrestha & Jetsada Posom & Panmanas Sirisomboon & Bim Prasad Shrestha, 2023. "Comprehensive Assessment of Biomass Properties for Energy Usage Using Near-Infrared Spectroscopy and Spectral Multi-Preprocessing Techniques," Energies, MDPI, vol. 16(14), pages 1-26, July.
    3. Sirisomboon, Panmanas & Posom, Jetsada, 2019. "On-line measurement of activation energy of ground bamboo using near infrared spectroscopy," Renewable Energy, Elsevier, vol. 133(C), pages 480-488.
    4. Sirisomboon, Panmanas & Funke, Axel & Posom, Jetsada, 2020. "Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition," Renewable Energy, Elsevier, vol. 147(P1), pages 1921-1931.
    5. Rahman, Abdur & Marufuzzaman, Mohammad & Street, Jason & Wooten, James & Gude, Veera Gnaneswar & Buchanan, Randy & Wang, Haifeng, 2024. "A comprehensive review on wood chip moisture content assessment and prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    6. Lelis Gonzaga Fraga & José Carlos F. Teixeira & Manuel Eduardo C. Ferreira, 2019. "The Potential of Renewable Energy in Timor-Leste: An Assessment for Biomass," Energies, MDPI, vol. 12(8), pages 1-12, April.
    7. Elena Leoni & Thomas Gasperini & Nicolò Di Marzio & Rodolfo Picchio & Giuseppe Toscano & Daniele Duca, 2024. "Application of Near Infrared Spectroscopy for the Detection of Chemically Treated Pellets Unsuitable for Combustion," Energies, MDPI, vol. 17(4), pages 1-16, February.

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