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Elucidating the Behavior of a Blend of Prepared Woody Biomass and Utah Bituminous Coal in a Raymond Bowl Mill

机译:阐明在雷蒙德制粉厂中准备的木质生物质和犹他州烟煤的混合物的行为

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Co-firing beetle kill, or any dead woody biomass in coal-fired utility boilers is a method utilities are exploring to manage their carbon footprint and for the U.S. Forest Service to help maintain the health of our National Forests. This technology is being pursued by many groups as a viable power production alternative, with applications ranging from biomass / coal blends to complete biomass firing. Among the technological and economic hurdles for widespread application of this technology is the preparation and delivery of the biomass to the combustion hardware. Ideally, the biomass can be prepared in such a way that it can be utilized as a coal replacement. In this scenario, the biomass would be blended with coal on the coal pile and would travel through all of the conveying and milling equipment associated with the coal power station. It has been identified previously that the fibrous nature of raw wood materials does not behave well in a traditional coal bowl mills, reducing their performance and eventually plugging the system. However, it is possible to prepare woody biomass prior to mixing with coal using methods that break down the fibrous structure. An experimental program has been performed where 15% (wt.) blends of prepared biomass and Utah Bituminous Coal has been co-milled in a Combustion Engineering 312 Raymond Bowl mill. This paper will focus on elucidating the behavior of each of these fuels in the classifier of the bowl mill. A CFD model was constructed of the mill using Computational Particle Fluid Dynamics (CPFD) Barracuda software. Assumptions were made concerning the location and size distribution of the particles entrained at the active milling sites. The model was then tuned to replicate the observed behavior during experimentation. The predicted behavior of the wood and coal particles in the classifier was quantified and compared in order to understand the physical motivations for large (>300 miron) biomass particles escaping the classifier
机译:燃煤公用事业锅炉中共烧甲虫杀死或任何枯死的木质生物质是公用事业公司正在探索的一种管理碳足迹的方法,并且对于美国森林服务局来说,也是一种帮助维持国家森林健康的方法。许多组织正在将这项技术作为可行的电力生产替代方案,其应用范围从生物质/煤混合物到完整的生物质燃烧。该技术的广泛应用的技术和经济障碍之一是生物质的制备和向燃烧硬件的输送。理想地,可以以可以用作煤替代物的方式来制备生物质。在这种情况下,生物质将与煤混合在煤堆上,并穿过与煤电站关联的所有输送和制粉设备。先前已经确定,在传统的煤制碗磨机中,原木材料的纤维性质表现不佳,降低了其性能并最终堵塞了系统。但是,可以使用分解纤维结构的方法在与煤混合之前制备木质生物质。已经执行了实验程序,其中在燃烧工程312雷蒙德碗磨机中共同研磨了15%(wt。)的已制备生物质和犹他州烟煤的混合物。本文将着重于阐明碗磨机分级机中每种燃料的行为。使用计算粒子流体动力学(CPFD)梭子鱼软件构建了工厂的CFD模型。关于在有效研磨位置夹带的颗粒的位置和尺寸分布进行了假设。然后调整模型以复制实验期间观察到的行为。量化并比较了分类器中木材和煤炭颗粒的预测行为,以了解逃避分类器的大型(> 300微米)生物质颗粒的物理动机

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