下吸式生物质气化炉的计算流体力学数值模拟

R. F. Naryanto, Mera Kartika Delimayanti
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摘要

世界能源需求导致可再生能源需求激增。其中之一是生物质。气化过程发生在称为气化炉的反应器中,最有效的方法是在下吸式气化炉上实施固定床法。该过程是在一个下吸式气化炉中执行的,因为制气过程没有停止点火和产生少量焦油。本研究中使用的生物质原料是木屑颗粒,因为它们在印度尼西亚有丰富的可用性。本研究讨论了以木质颗粒生物质为原料的下吸式气化炉的数值模拟。由于DPM (Discrete Phase Model)能更精确地预测实验结果的细节,因此采用计算流体力学的模拟技术。仿真结果表明,随着过程迭代时间的延长,收敛速度越快。仿真结果与实际实验室研究结果接近100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Simulation of Downdraft Biomass Gasifier With Computational Fluid Dynamic
World energy demand has resulted in a surge in renewable energy needs. One of them is biomass. The gasification process takes place in a reactor called a gasifier, and the most effective way is to implement the Fixed Bed method on the downdraft gasifier. The process was executed in a downdraft gasifier because of the gas-making process without stopping the ignition and producing a small amount of tar. The biomass raw material used in this study is wood pellets because of their abundant availability in Indonesia. This research discussed numerical simulations for downdraft gasifier by utilizing wood pellet biomass as a raw material. The simulation technique is computational fluid dynamic with the DPM (Discrete Phase Model) because it can predict the experiment result details more precisely. The simulation results have shown that the convergence rate got better with the longer process iteration time. The simulation results were close to 100% in real-scale laboratory research results.
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