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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

CFD Simulation of Woody Biomass Solid Waste Gasification Based on Thermal Energy Storage Fixed Bed Gasification Device
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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。炉内温度场呈现出明显的干燥-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/CO_(2)的质量分数之比,有效提升了燃气热值。 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.
作者 孙泽芃 顾菁 王亚琢 刘泽健 袁浩然 SUN Zepeng;GU Jing;WANG Yazhuo;LIU Zejian;YUAN Haoran(Department of Thermal Science and Energy Engineering,University of Science and Technology of China,Hefei 230026,China;Guangzhou Institute of Energy Conversion,Chinese Academy of Sciences,Guangzhou 510640,China)
出处 《新能源进展》 CSCD 北大核心 2024年第5期520-531,共12页 Advances in New and Renewable Energy
基金 广东省基础与应用基础研究基金项目(2021B1515020068)。
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 updraft fixed bed dense discrete phase model excess air coefficient physical quantity distribution
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