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A quantitative approach to evaluate risks of spontaneous combustion in longwall gobs based on CO emissions at upper corner

机译:一种基于上角CO排放量评估长壁采空区自燃危险的定量方法

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Carbon monoxide (CO) is an important gas indicator for early detection and evaluation of spontaneous combustion in longwall gobs, and continuous monitoring of this gas is generally located at the upper corner of working face. Although CO emissions during spontaneous heating of coal have been investigated adequately in laboratory, few studies have involved in the migration and generation behavior of CO in longwall gobs. The CO-based early warning threshold for spontaneous combustion in gob is unsettled either. In this study, a fully coupled model of generation and transport of CO in longwall gob is developed by combining with air seepage, oxygen transport, thermal transfer, and exothermic reaction. Standard CO generation rate (SCOGR) as one key parameter is introduced for the better simulation on CO migration in gob. Our previously developed solving software of COMBASS-3D has been improved to investigate the functional relationship between progression of spontaneous combustion in longwall gob and CO emissions at upper corner. The results show that (i) the SCOGR depends strongly on temperature and coal properties, but is independent of ambient oxygen concentration, which is the basis for calculating actual CO generation rate; (ii) the high CO concentration zone overlaps with the oxidative self-heating zone and the high temperature zone in windward side of gob, which is consistent with the theoretical expectation and on-site observation; (iii) increasing longwall advance rate, decreasing ventilation flux and reducing thickness of abandoned coal all can not only reduce risks of spontaneous combustion in longwall gob but also suppress CO emissions from the gob; (iv) the maximum temperature in gob grows linearly with the increase of natural logarithm of CO concentration at upper corner in low temperature stage, and the early warning threshold can be calculated on basis of this relationship with the minimum self-heating temperatures of coal. These works can provide a quantitative approach for early warning the spontaneous combustion fires in longwall gobs.
机译:一氧化碳(CO)是用于长壁采空区自发燃烧的早期检测和评估的重要气体指示剂,对该气体的连续监测通常位于工作面的上角。尽管在实验室对煤自燃过程中的CO排放进行了充分的研究,但很少有研究涉及长壁采空区中CO的迁移和生成行为。炉料中自燃的基于CO的预警阈值也未确定。在这项研究中,通过结合空气渗透,氧气输送,热传递和放热反应,建立了长壁采空区中CO的产生和输送的完全耦合模型。引入标准CO生成率(SCOGR)作为关键参数,以更好地模拟采空区CO迁移。我们对先前开发的COMBASS-3D求解软件进行了改进,以研究长壁采空区自燃过程与上角CO排放之间的功能关系。结果表明:(i)SCOGR强烈依赖于温度和煤的性质,但与环境氧浓度无关,这是计算实际CO产生率的基础; (ii)高CO浓度区与采空区迎风面的氧化自热区和高温区重叠,这与理论预期和现场观察一致; (iii)增加长壁推进速度,降低通气量和减少废弃煤的厚度,不仅可以减少长壁采空区自燃的风险,而且可以抑制采空区CO的排放; (iv)在低温阶段,采空区的最高温度随着CO浓度的自然对数的增加而线性增长,可以根据该关系与煤的最低自热温度计算出预警阈值。这些工作可以为预警长壁采空区的自燃燃烧提供定量方法。

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