Logging wastes of tropical species managed sustainably in the Brazilian Amazon are promising for replacing fossil fuels. However, their use in local energy systems is challenging concerning many mixed-species with unknown properties. This study focuses on the energy characterization of the logging wastes from twenty commercial Amazon species harvested in a sustainable management plan and their energy equivalence to fossil fuels. The wood species were grouped by principal component analysis according to their basic density, moisture content, maximum moisture content, heating value, energy density, and chemical composition. Basic density (0.525–0.895 g cm⁻³), energy density (9.4–16.8 GJ m⁻³), ash (0.3–2.5%), and total extractives (1.8–17.9%) showed wide interspecific variations. On the other hand, the carbon content (49.2–52.4%), total lignin (30.2–38.1%), fixed carbon (16.5–22.0%), volatile matter (76.7–82.8%), and higher heating value (19.1–20.9 MJ kg⁻¹) varied less among species. D. excelsa, M. elata, P. altissium, and G. glabra wastes surpassed conventional planted species for bioenergy applications. The logging wastes formed four groups with similar properties aiming at energy systems. The fuelwood value index ranked wastes of D. excelsa wood as the most promising for bioenergy. Finally, D. excelsa wood wastes presented the largest mass of CO₂eq fixed in 1 m³ of logging wastes (1,687 kg), meaning that the use of 1 m³ of these wastes would mitigate the emission of 1,687 kg of CO₂eq.

在巴西亚马逊河地区以可持续方式管理的热带物种废弃物的采伐有望替代化石燃料。但是，它们在本地能源系统中的使用对于具有未知特性的许多混合物种具有挑战性。这项研究的重点是在可持续管理计划中收集的来自亚马逊的20种商业亚马逊物种的采伐废物的能量表征及其与化石燃料的能源等效性。通过基本成分，水分含量，最大水分含量，热值，能量密度和化学成分，通过主成分分析对木材种类进行分组。基本密度（0.525–0.895 g cm ^-3），能量密度（9.4–16.8 GJ m ^-3），灰分（0.3–2.5％）和总提取物（1.8–17.9％）的种间差异很大。另一方面，碳含量（49.2–52.4％），总木质素（30.2–38.1％），固定碳（16.5–22.0％），挥发性物质（76.7–82.8％）和较高的发热量（19.1–20.9） MJ kg ^-1）在物种之间变化较小。D. excelsa，M. elata，P. altissium和G. glabra废物超过了常规种植的生物能源应用物种。针对能源系统，测井废物形成了四组具有相似特性的废物。薪材价值指数将D.excelsa木材的废物列为最有前途的生物能源。最后，D。excelsa木材废物占固定在1 m ³的伐木废物中的最大CO ₂当量（1,687千克），这意味着使用1 m ³的这些废物将减少1,687 kg CO ₂当量的排放。