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

2020; Elsevier BV; Volume: 163; Linguagem: Inglês

10.1016/j.renene.2020.08.078

1879-0682

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

Bioeconomy and Sustainability Development

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.