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Devolatilization of millimeter-sized biomass particles at high temperatures and heating rates. Part 2: Modeling and validation for thermally-thin and-thick regimes

机译:毫米大小的生物质颗粒在高温和加热速率下的脱挥发分。第2部分:薄热模式的建模和验证

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This paper analyzes the relevance of intraparticle gradients in the devolatilization of millimeter-sized biomass particles under the high temperatures and heating rates typical of the industrial facilities. Experimental data (intraparticle temperature history, size evolution, devolatilization times and volatile release rates) were obtained in tests with isolated particles 3-15 mm in diameter in a flat flame reactor under controlled combustion conditions. These results were compared with the predictions of two different models that alternatively neglect or consider the internal gradients, after deriving model-dependent kinetics from the data; this allowed drawing conclusions regarding the range of validity of each model. Whereas the thick-particle model reasonably reproduces the behavior of the devolatilizing particles for the whole range of test conditions and particle sizes explored, the thin-particle model is unable to fit the trends observed in the data for different sizes. Neglecting the internal gradients leads to a delayed onset and a more abrupt release of the volatiles, which is relevant e.g. in the simulation of biomass-fired burners. Additionally, the experimental data set also allowed assessing the validity of two common assumptions regarding the char oxidation stage, i.e. oxidation limited by O-2 external diffusion and sequential character of devolatilization and char oxidation; both are likely applicable in the conditions explored.
机译:本文分析了在工业设备典型的高温和加热速率下,毫米级生物质颗粒在脱挥发分过程中颗粒内梯度的相关性。实验数据(颗粒内温度历史,尺寸演变,脱挥发分时间和挥发物释放速率)是在平焰反应堆中,在受控燃烧条件下,用直径3-15 mm的分离颗粒进行测试获得的。将这些结果与两个不同模型的预测结果进行比较,这两个模型在从数据中得出模型相关的动力学之后,可以选择忽略或考虑内部梯度。这样就可以得出有关每个模型有效性范围的结论。尽管厚颗粒模型在整个测试条件和所探索的颗粒尺寸范围内都能合理地再现脱挥发分颗粒的行为,但薄颗粒模型无法适应不同尺寸数据中观察到的趋势。忽略内部梯度会导致延迟发作和更突然释放挥发物,这与例如模拟生物质燃烧器。另外,实验数据集还允许评估关于炭氧化阶段的两个常见假设的有效性,即,由O-2外部扩散限制的氧化以及脱挥发分和炭氧化的顺序特性;两者都可能适用于所研究的条件。

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