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Volatile matter release from coal at different heating rates -experimental study and kinetic modelling

机译:煤在不同加热速率下的挥发性物质释放-实验研究和动力学模型

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The presented paper examines the impact of heating rate on the yield of volatiles and kinetic parameters describing the devolatilization process of sub-bituminous coal. The behaviour of three coals is investigated with the use of two experimental research methods i.e. Thermogravimetric Analysis (TG) and Drop Tube Furnace (DTF). Network models such as FG-DVC and FLASHCHAIN will also used to derived devolatilization kinetics numerically. Results obtained at low and high heating rates, indicate that high heating rates enhance an evolution of the excess yields of volatiles and this effect to some extent can be correlated with the physicochemical properties of the coals under investigation. A robust method of kinetic parameter extrapolation was developed and assessed in terms of its suitability for application to simulate fast pyrolysis. The fraction of released volatiles simulated in drop tube furnace conditions, reveals that extrapolation of TG kinetic data gives results close to these obtained from FG-DVC, while the similarity of DTF and FLASHCHAIN data is more limited. Despite this, eleven out of twelve kinetic datasets fit the experimental trends well.
机译:本文研究了加热速率对挥发物产率的影响以及描述亚烟煤脱挥发分过程的动力学参数。使用两种实验研究方法,即热重分析(TG)和滴管炉(DTF),研究了三种煤的行为。 FG-DVC和FLASHCHAIN等网络模型也将用于数值推导脱挥发分动力学。在低加热速率和高加热速率下获得的结果表明,高加热速率可促进挥发物过量收率的演变,并且这种影响在某种程度上可与所研究煤炭的理化性质相关。开发了一种可靠的动力学参数外推方法,并对其适用于模拟快速热解的适用性进行了评估。在滴管炉条件下模拟的释放挥发物比例表明,TG动力学数据的外推得出的结果接近于FG-DVC获得的结果,而DTF和FLASHCHAIN数据的相似性受到更大限制。尽管如此,十二个动力学数据集中有十一个很好地符合了实验趋势。

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