基于蓄热式固定床气化装置的木质生物质固废气化CFD模拟
摘要：摘要基于计算流体力学-稠密离散相模型,建立新型蓄热式气化装置的数值模拟模型,根据上吸式固定床气化特性优化了前处理设置,研究不同过量空气系数下炉内流体流速、压力、温度与组分的分布,分析炉内各组分质量分数在不同时刻及过量空气系数下的分布及演化规律。研究表明,颗粒床层为影响流体流速、压降的主要因素,流体流经床层产生了50 ~ 75 Pa的压降。炉内温度场呈现明显的干燥-热解-还原氧化分区,各工况的温度曲线几乎重叠,大致存在4个拐点。在低过量空气系数区间,气化剂流率的提升对燃气组分影响不大。气化装置的设计有利于提升燃气中H2的质量分数及CO/CO2的质量分数之比,有效提升了燃气热值。
Abstract:：Based on the computational fluid dynamics dense discrete phase model, a numerical simulation model for a new thermal energy storage gasification device was established. The pre-treatment settings were optimized based on the gasification characteristics of an updraft fixed bed, and the distribution of fluid velocity, pressure, temperature and species in the furnace under different excess air coefficients was studied. The distribution and evolution law of the mass fractions of each species in the furnace at different times and under different excess air coefficients were analyzed. Research has shown that the particle bed is the main factor affecting fluid velocity and pressure drop, and gas flow through the bed generates a pressure drop of 50-75 Pa. The temperature field in the furnace presents an obvious drying-pyrolysis-reduction oxidation zone, and the temperature curves under various working conditions almost overlap, with approximately four inflection points. In the low excess air coefficient range, the increase in gasification agent flow rate has little effect on the species of gases. The design of the gasification device is conducive to improving the mass fraction of H2 and the ratio of CO/CO2 in the gas, effectively enhancing the calorific value of the gas.
中文标题：基于蓄热式固定床气化装置的木质生物质固废气化CFD模拟
英文标题：CFD Simulation of Woody Biomass Solid Waste Gasification Based on Thermal Energy Storage Fixed Bed Gasification Device
发表时间：2024-03-06
作者：
孙泽芃, 顾菁, 王亚琢, 刘泽健, 袁浩然
作者简介：
孙泽芃（1997-）,男,硕士研究生,主要从事固废气化 CFD数值模拟研究。袁浩然（1981-）,男,博士,研究员,博士生导师,主要从事有机固废能源化与资源化高效清洁利用基础理论及技术开发研究。
关键词：上吸式固定床,稠密离散相模型,过量空气系数,物理量分布,
Key words：updraft fixed bed,dense discrete phase model,excess air coefficient,physical quantity distribution,
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