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Colorimetry as a criterion for segregation of logging wastes from sustainable forest management in the Brazilian Amazon for bioenergy

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  • Lima, Michael Douglas Roque
  • Patrício, Evelym Poliana Santos
  • Barros Junior, Udson de Oliveira
  • Silva, Rita de Cássia Carvalho
  • Bufalino, Lina
  • Numazawa, Sueo
  • Hein, Paulo Ricardo Gherardi
  • Protásio, Thiago de Paula

Abstract

Logging wastes from sustainable forest management in Amazon are promising for bioenergy; however, highly heterogeneous technological properties limit their proper application. This paper sought to study the potential of colorimetry in the segregation of logging wastes for bioenergy in Brazilian Amazon. Branches of twenty forest species were sampled at the Forest Management Area Rio Capim, Pará, Brazil. Analyses of the wood physical, chemical, energy, and colorimetric properties (CIEL∗a∗b∗ system) were performed. Our study detected relevant variations for basic density (0.525–0.895 g cm−3); energy density (10.2–18.2 GJ m−3); total extractives (1.8–17.9%); total lignin (30.2–38.1%); lightness (39–63); green/red axis (5–11); blue/yellow axis (9–23); color saturation (13–25), and hue angle (45–74). The parameters L∗, b∗, C, and h∗ presented negative relations with BD and ED. The most promising wood group (Manilkara elata and Dinizia excelsa) for bioenergy formed by principal component analysis presented darker (purplish-brown) and densest woods (0.895 and 0.891 g cm−3), in addition to greater stored energy (17.8 and 18.2 GJ m−3). Thus, this research proved that colorimetry has a high potential to segregate logging wastes for the production of chips and charcoal.

Suggested Citation

  • Lima, Michael Douglas Roque & Patrício, Evelym Poliana Santos & Barros Junior, Udson de Oliveira & Silva, Rita de Cássia Carvalho & Bufalino, Lina & Numazawa, Sueo & Hein, Paulo Ricardo Gherardi & Pro, 2021. "Colorimetry as a criterion for segregation of logging wastes from sustainable forest management in the Brazilian Amazon for bioenergy," Renewable Energy, Elsevier, vol. 163(C), pages 792-806.
    • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:792-806
    DOI: 10.1016/j.renene.2020.08.078
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    Cited by:

    1. Lima, Michael Douglas Roque & Ramalho, Fernanda Maria Guedes & Trugilho, Paulo Fernando & Bufalino, Lina & Dias Júnior, Ananias Francisco & Protásio, Thiago de Paula & Hein, Paulo Ricardo Gherardi, 2022. "Classifying waste wood from Amazonian species by near-infrared spectroscopy (NIRS) to improve charcoal production," Renewable Energy, Elsevier, vol. 193(C), pages 584-594.
    2. Francisco Fernandes Bernardes & Thiago Libório Romanelli & Allana Katiussya Silva Pereira & Gabriela Fontes Mayrinck Cupertino & Márcia Aparecida Fernandes & José Otávio Brito & Elias Costa de Souza &, 2023. "Energy Performance of Different Charcoal Production Systems," Energies, MDPI, vol. 16(21), pages 1-13, October.
    3. Massuque, Jonas & Roque Lima, Michael Douglas & Müller da Silva, Paulo Henrique & de Paula Protásio, Thiago & Trugilho, Paulo Fernando, 2023. "Potential of charcoal from non-commercial Corymbia and Eucalyptus wood for use in the steel industry," Renewable Energy, Elsevier, vol. 211(C), pages 179-187.
    4. Lima, Michael Douglas Roque & Bufalino, Lina & Scatolino, Mário Vanoli & Hein, Paulo Ricardo Gherardi & Carneiro, Angélica de Cássia Oliveira & Trugilho, Paulo Fernando & Protásio, Thiago de Paula, 2023. "Segregating Amazonia logging wastes from sustainable forest management improves carbonization in brick kilns," Renewable Energy, Elsevier, vol. 211(C), pages 772-788.

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