首页> 外文会议>Annual International Meeting of the American Society of Agricultural and Biological Enginners >Understanding management practices for biomass harvest equipment for commercial scale operation
【24h】

Understanding management practices for biomass harvest equipment for commercial scale operation

机译:了解商业规模运营的生物质收获设备管理实践

获取原文

摘要

As second generation biofuels approach commercial scale production, a large fleet of harvesting equipment is required to meet feedstock demand. In the Midwest United States, agricultural residue, such as corn stover, has been identified as a readily available feedstock. Multi-pass corn stover harvest requires the infield operations of shredding, baling, and stacking. Proper management practices are required to keep machines running at maximum efficiency in order to reduce cost and harvest enough material to meet processing demand. This need for management becomes increasing important as production levels reach commercial scale levels. This study looked at management practices of several individual harvest crews across an entire harvest season. Datawas collected from multiple machines, including balers, shredders, and stackers during the 2013 and 2014 fall harvests. The controller area network (CAN) bus system was utilized to record machine data that was linked to specific GPS coordinates within agiven field. The information was then analyzed to identify controllable metrics, such as machine productivity, daily bale production, and bale density. Recognizing these controllable metrics will improve overall logistics as production reaches full scaleand reduce overall costs. A techno-economic analysis was executed to quantify cost as performance and quality changed.
机译:由于第二代生物燃料接近商业规模生产,需要大量的收获设备来满足原料需求。在美国中西部地区,农业残留物,如玉米秸秆,已被鉴定为易于使用的原料。多通玉米渣收获需要切碎,打包和堆叠的infield操作。需要适当的管理实践以保持最大效率运行的机器,以降低成本并收获足够的材料以满足处理需求。随着生产水平达到商业规模水平,对管理的需求变得越来越重要。这项研究看着整个收获季节的几个个人收获机组人员的管理实践。在2013年和2014年秋季收获期间,从多台机器收集的数据,包括打包机,碎纸机和堆垛机。控制器区域网络(CAN)总线系统用于记录与特定GPS坐标相关联的机器数据。然后分析该信息以确定可控度量,例如机器生产力,每日捆包生产和捆包密度。识别这些可控指标将改善整体物流随着生产达到全Scaleand降低总成本。执行技术经济分析,以量化成本,因为性能和质量发生变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号