Fuel Consumption and CO2 Emissions in Fully Mechanized Cut-to-Length (CTL) Harvesting Operations of Industrial Roundwood: A Review

被引:0
|
作者
Kaerhae, Kalle [1 ]
Eliasson, Lars [2 ]
Kuehmaier, Martin [3 ]
Spinelli, Raffaele [4 ]
机构
[1] Univ Eastern Finland, Sch Forest Sci, POB 111, Joensuu 80101, Finland
[2] Skogforsk, Forestry Res Inst Sweden, S-75181 Uppsala, Sweden
[3] Univ Nat Resources & Life Sci Vienna, Inst Forest Engn, Dept Forest & Soil Sci, Peter Jordan Str 82, A-1190 Vienna, Austria
[4] CNR IBE, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, Italy
来源
CURRENT FORESTRY REPORTS | 2024年 / 10卷 / 04期
关键词
Forest operations; Felling-processing; Extraction; Logging; Harvester; Forwarder; Greenhouse gas (GHG) emissions; GREENHOUSE-GAS EMISSIONS; LIFE-CYCLE ASSESSMENT; MARITIME PINE WOOD; ENVIRONMENTAL IMPACTS; FOREST OPERATIONS; PRODUCTIVITY ANALYSIS; EXHAUST EMISSIONS; SUPPLY CHAINS; COST; FORWARDER;
D O I
10.1007/s40725-024-00219-3
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
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 m(3) 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.
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页码:255 / 272
页数:18
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