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Quantification of biomass feedstock availability to a biorefinery based on multi-crop rotation cropping systems using a GIS-based method

机译:使用基于GIS的方法基于多作物轮作系统量化生物精炼厂的生物质原料的可用性

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摘要

The feasibility of utilizing cellulosic biomass as an energy feedstock is dominated by factors such as facility location, feedstock availability, and transportation cost. Our previous case study showed improvements in quantification of feedstock availability for a biorefinery by introducing the effect of field-level yield variance and variable residue removal rates as improvement parameters into the GIS-based analysis. Even though the improved GIS-based method enhanced quantification of feedstock availability with the addition of the improvement parameters, a biorefinery would most likely procure more than one feedstock type. In this case study, quantification of feedstock availability based on multi-crop rotation cropping systems was done using the previously improved GIS-based variable residue removal (VRR) method. We observed on average a 3,793 ±5,733 DT per service area difference when increasing the number of crops used to estimate feedstock quantification. The supplementary use of crop-specific VRR rates affected residue availability, given that a crop’s residue removal rate is influenced by crop yield, crop rotation, soil characteristics, as well as field location and management. It was also observed that the amount of available hectares of the three main crops analyzed in this case study affected residue availability. Corn represented 26.2% (440,636 ha; 1,101,591 acres), sorghum represented 12.9% (217,432 ha; 543,579 acres), and wheat represented 60.9% (1,024,607 ha; 2,561,518 acres) of the hectares in the study area. The validation study showed the importance of taking into account the seasonal availability of crop residue when estimating procurement service areas, given that in some cases feedstock requirements were not met.
机译:利用纤维素生物质作为能源原料的可行性受诸如设施位置,原料可用性和运输成本等因素支配。我们以前的案例研究表明,通过将田间水平的产量差异和可变的残渣去除率作为改进参数引入基于GIS的分析中,可以改善生物精炼厂的原料利用率。即使基于改进的基于GIS的方法通过添加改进参数来增强对原料可用性的量化,生物精炼厂也很可能会采购不止一种原料类型。在本案例研究中,使用以前改进的基于GIS的可变残留去除(VRR)方法,基于多作物轮作种植系统对原料的可用性进行了量化。当增加用于估计原料定量的农作物数量时,我们观察到每个服务区差平均3,793±5,733 DT。鉴于作物的残留去除率受作物产量,作物轮作,土壤特性以及田间位置和管理的影响,特定于作物的VRR率的补充使用会影响残留物的利用率。还观察到,在此案例研究中,分析的三种主要农作物的可用公顷数量影响了残留物的利用率。在研究区域,玉米占公顷的26.2%(440,636公顷; 1,101,591英亩),高粱占12.9%(217,432公顷; 543,579英亩),小麦占60.9%(1,024,607公顷; 2,561,518英亩)。验证研究表明,在估计采购服务区域时,考虑到农作物残渣的季节性供应非常重要,因为在某些情况下无法满足原料需求。

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