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Development of economic and environmental metrics for forest-based biomass harvesting

机译:基于森林生物量收获的经济环境指标的发展

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An assessment of the economic, energy consumption, and greenhouse gas (GHG) emission dimensions of forest-based biomass harvest stage in the state of Michigan, U.S. through gathering data from literature, database, and other relevant sources, was performed. The assessment differentiates harvesting systems (cut-to-length harvesting, whole tree harvesting, and motor-manual harvesting), harvest types (30%, 70%, and 100% cut) and forest types (hardwoods, softwoods, mixed hardwood/softwood, and softwood plantations) that characterize Michigan's logging industry. Machine rate methods were employed to determine unit harvesting cost. A life cycle inventory was applied to calculating energy demand and GHG emissions of different harvesting scenarios, considering energy and material inputs (diesel, machinery, etc.) and outputs (emissions) for each process (cutting, forwarding/skidding, etc.). A sensitivity analysis was performed for selected input variables for the harvesting operation in order to explore their relative importance. The results indicated that productivity had the largest impact on harvesting cost followed by machinery purchase price, yearly scheduled hours, and expected utilization. Productivity and fuel use, as well as fuel factors, are the most influential environmental impacts of harvesting operations.
机译:进行了在密歇根州的森林生物量收获阶段的经济,能耗和温室气体(GHG)排放级的评估,通过收集来自文献,数据库和其他相关来源的数据。评估区分收获系统(切割到长度收获,整个树木收获和电动机 - 手动收割),收获类型(30%,70%和100%切割)和森林类型(硬木,软木,混合硬木/软木和软木种植园),其特征在于密歇根州的伐木行业。采用机器速率方法来确定单位收获成本。应用生命周期库存计算不同收集方案的能量需求和温室气体排放,考虑每个过程的能量和材料输入(柴油,机械等)和输出(剥削,转发/打滑等)。对收集操作的选择输入变量进行灵敏度分析,以探索其相对重要性。结果表明,生产力对收获成本的影响最大,随后是机械购买价格,每年预定时间和预期利用率。生产率和燃料使用以及燃料因素是最有影响力的收获业务的环境影响。

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