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Fuel Consumption and CO2 Emissions in Fully Mechanized Cut-to-Length (CTL) Harvesting Operations of Industrial Roundwood: A Review
Current Forestry Reports ( IF 9.0 ) Pub Date : 2024-05-14 , DOI: 10.1007/s40725-024-00219-3
Kalle Kärhä , Lars Eliasson , Martin Kühmaier , Raffaele Spinelli

Purpose of Review

The aim of this literature review was to bring together the most relevant and recent research information on the fuel consumption and CO2 emissions caused by the fully mechanized cut-to-length (CTL) harvesting machinery when applied to industrial roundwood. A specific aim of this review was to describe the effect of different independent variables on fuel consumption in fully mechanized CTL wood-harvesting operations.

Recent Findings

The review showed that the engine power of CTL forest machines accounts for most of the variance in the hourly fuel consumption of both harvesters and forwarders. We underline that the cubic-metre-based fuel consumption of CTL forest machines is correlated to the same factors that affect work productivity. Among all influencing factors, the average stem size, removal intensity and silvicultural treatment have the strongest effect on the fuel consumption per m3 incurred with felling-processing, whereas forwarding distance, removal intensity and payload size are the main drivers of fuel consumption per m3 as incurred with extraction. Further influencing factors are soil type (mineral soil or peatland), use of tracks, assortment type and machine size. Together with those factors, the role of the machine operator remains crucial and is dependent on two separate skills: the capacity to achieve high productivity, and that to apply fuel-saving driving techniques.

Summary

The easiest way to reduce the carbon footprint of CTL harvesting machines is to increase the productivity of the harvesting work, for example by giving machine operator-specific training to utilize more efficient work methods and economic energy-efficient driving techniques. Furthermore, several other measures to reduce the carbon footprint of CTL harvesting operations were discussed in this review. Finally, we recommend that all essential variables that have a significant impact on the productivity of harvesting work, fuel consumption and CO2 emissions are reported in study papers in the future.



中文翻译:

工业原木全自动定长切割 (CTL) 采伐作业中的燃料消耗和二氧化碳排放:综述

审查目的

本文献综述的目的是汇集有关全机械化定长切割 (CTL) 收割机械应用于工业圆木时所造成的燃料消耗和 CO 2排放的最相关和最新的研究信息。本次审查的一个具体目的是描述不同自变量对全机械化 CTL 木材采伐作业中燃料消耗的影响。

最近的发现

审查表明,CTL 林业机械的发动机功率是收割机和集运机每小时燃油消耗差异的大部分原因。我们强调,CTL 林业机械的立方米燃料消耗与影响工作生产率的相同因素相关。在所有影响因素中,平均树干尺寸、清除强度和营林处理对采伐加工每 m 3燃料消耗的影响最强,而前进距离、清除强度和有效载荷大小是每 m 3 燃料消耗的主要驱动因素。 3因提取而发生。其他影响因素包括土壤类型(矿质土或泥炭地)、履带的使用、品种类型和机器尺寸。与这些因素一起,机器操作员的作用仍然至关重要,并且取决于两种不同的技能:实现高生产率的能力以及应用节能驾驶技术的能力。

概括

减少 CTL 收割机碳足迹的最简单方法是提高收割工作的生产率,例如为机器操作员提供特定培训,以利用更高效的工作方法和经济节能的驾驶技术。此外,本次审查还讨论了减少 CTL 收获作业碳足迹的其他几项措施。最后,我们建议在未来的研究论文中报告对采伐工作的生产率、燃料消耗和CO 2排放有重大影响的所有重要变量。

更新日期:2024-05-14
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