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MODELING FOR MINERAL REDISTRIBUTION OF COAL BLENDING DURING PULVERIZED COAL COMBUSTION

机译:煤粉燃烧过程中煤煤矿矿物再分布的建模

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This paper represents an analytical model for predicting mineral particle redistribution of coal blending during pulverized coal (PC) combustion in a pulverized coal-fired boiler. The objective of this research is to develop a computer program to perform the mass balance of total minerals after transformation during combustion. A MATLAB code was developed for coal blending mineral redistribution from single coal mineral redistribution in modular approach based on relative Hardgrove Grindability Index (HGI) of coals. The calculations of the single coal number of ash particles before and after combustion both for excluded and included minerals from the single coal proximate analysis, Malvern analysis, Computer Controlled Scanning Electron Microscopy (CCSEM) analysis, density and composition analysis were designed in a submodule. Utilizing single coal sub-module, the calculations of coal blending number of ash particles before and after combustion both for excluded and included minerals were designed in a module of MATLAB code. The blending modeling was designed to blend up to five sub-bituminous coals. Calculations were made for typical boiler combustion conditions ranging from 1,500K to 2,500K as flame temperature. The organically-associated ash content or mineral grains of each coal smaller than 1 micrometer was not included in the calculation of redistribution modeling. Coal particle fragmentation of blended coal was considered as same as single coal and size dependent phenomena. Partial coalescence model was assumed as more likely to occur. Blended coal was assumed to follow additive rule applied to mineral mass percentage based on sizes and mineral phase regardless grinding of coals separately or after blending if the HGI difference between highest and lowest HGI of coals arranged in ascending order stands within five. The modeling was demonstrated for KPU: AVRA and AVRA: Solntsevsky with specific blending ratio 80:20 and 20:80 respectively. The model for blended coal was validated by the mass balance of minerals before and after combustion. The resulting simplified particle size distribution of mass fraction of KPU: AVRA shows good agreement with experimental results of Kentucky #9 coal because of having a larger amount of included minerals of KPU coal. The model for blended coal mineral redistribution before and after combustion will be developed for the HGI difference between highest and lowest HGI of coals arranged in ascending order becomes greater than five and validated by minerals mass balance before and after combustion. This modeling will be used to predict number of mineral particles and its sizes that is a key parameter as to predict the problems like fouling and slagging and the related reduction of boiler efficiency. The results from this study will be further carried out to investigate ash deposition rates in post-boiler heat exchangers.
机译:本文代表了一种预测煤粉(PC)燃烧期间煤煤(PC)燃烧在粉煤燃烧锅炉中的煤炭混合的矿物颗粒再分布的分析模型。本研究的目的是开发一种计算机程序,在燃烧过程中转换后进行总矿物质的质量平衡。基于相对硬化煤粉磨削指数(HGI)的煤层的单煤矿再分配,开发了MATLAB代码以煤混合矿物再分配。在子模块中设计了从单煤层近分析中排除和包括矿物质之前和燃烧之前和之后的灰粒子的单煤颗粒的计算。利用单煤亚模块,设计在MATLAB代码模块中,在燃烧之前和燃烧之前和燃烧前后的灰粒子的计算。混合建模旨在混合最多五个亚沥青煤。为典型的锅炉燃烧条件进行计算,从1,500K到2,500K为火焰温度。每煤的有机相关的灰分含量或小于1微米的矿物颗粒未包括在再分配建模的计算中。混合煤的煤颗粒碎片被认为与单一煤和依赖性现象一样。假设部分聚结型模型更容易发生。假设混合煤遵循基于尺寸和矿物相的添加到矿物质百分比的添加规则,无论如何,如果以升序排列在五个升序中的最高和最低HGI之间的HGI差异,则在混合中均匀的HGI差异。型号为KPU:AVRA和AVRA:Solntsevsky分别为80:20和20:80,Solntsevsky分别证明了Solntsevsky。通过燃烧前后的矿物质的质量平衡验证了混合煤的模型。由此产生的KPU质量分数的简化粒度分布:AVRA与肯塔基#9煤的实验结果表现出良好的一致性,因为具有较多的KPU煤的矿物质。燃烧前后混合煤矿再分配的模型将为按升序排列的最高和最低HGI之间的HGI差异而变得大于五个,并通过燃烧前后的矿物质量平衡验证。该建模将用于预测矿物粒子的数量及其尺寸,这是预测污垢和粘合等问题的关键参数以及锅炉效率的相关降低。本研究的结果将进一步开展,以研究锅炉后热交换器中的灰分沉积速率。

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