Flow performance of ground biomass in a commercial auger

Flow performance of ground biomass in a commercial auger
复制标题

DOI:
10.1016/j.powtec.2014.07.038
复制
发表时间:
2014-11
期刊:
影响因子:
5.2
通讯作者:
Z. Miao;T. Grift;A. Hansen;K. Ting
Z. Miao;T. Grift;A. Hansen;K. Ting
中科院分区:
工程技术2区
文献类型:
--
作者:
Z. Miao;T. Grift;A. Hansen;K. Ting

文献摘要

被引文献

相似文献

预处理生物质的流动性能在生物质输送和处理中起着重要作用。本文研究了芒草和柳枝稷的休止角(AOR)与生物质颗粒在最初设计用于输送玉米和大豆的螺旋钻中的流动性能的关系。结果表明,经过6.35、9.53、12.7和25.4 mm粉碎筛粉碎的芒草和柳枝稷颗粒的比能耗(SEC)、能量效率(EE)、容积效率(VE)、容积流量(VFR)和质量流量(MFR)均远低于玉米颗粒。然而,玉米和生物质之间的VFR的差异远小于SEC和质量流率(MFR)。这一结果意味着,低的堆密度的生物质原料是一个更明显的限制因素,在生物质处理比输送mechanism.The AOR芒草和柳枝稷颗粒被发现成正比的粒度和水分含量。虽然AOR是材料内部摩擦的指标,但在本研究中,芒草和柳枝稷的AOR与螺旋钻的能量/体积效率没有显著相关。通过将测量的螺旋钻功率消耗与针对玉米和大豆开发的经验方程的预测进行比较,很明显,这些方程对于生物质原料表现不佳。
The flow performance of preprocessed biomass plays an important role in biomass transportation and handling. The research as presented here investigated how the Angle of Repose (AOR) of miscanthus and switchgrass is related to flow performance of biomass particles in an auger that was originally designed to convey corn and soybeans. The flow performance metrics were the specific energy consumption (SEC), energy efficiency (EE), volumetric efficiency (VE), volumetric flow rate (VFR) and mass flow rate (MFR).The results showed that the EE and MFR while conveying miscanthus and switchgrass particles ground through 6.35-, 9.53-, 12.7- and 25.4-mm milling screens were much lower than those of corn. However, the differences in VFR between corn and biomass were much smaller than that in SEC and mass flow rate (MFR). This result implies that the low bulk density of biomass feedstock is a more pronounced limiting factor in biomass handling than the conveying mechanism used.The AOR of miscanthus and switchgrass particles was found proportional to particle size and moisture content. While AOR is an indicator of the material's internal friction, in this study, the AOR of miscanthus and switchgrass was not significantly related to the energy/volumetric efficiency of the auger. By comparing the measured auger power consumption to predictions from empirical equations developed for corn and soybean, it became evident that these equations do not perform well for biomass feedstock.