东南大学学报（自然科学版）2025，Vol.55Issue(3)：625-633,9.DOI:10.3969/j.issn.1001-0505.2025.03.001
基于介尺度模型的大型生物质流化床低温气化特性数值模拟研究
Numerical simulation study on low-temperature gasification characteristics of a large-scale biomass fluidized bed based on the mesoscale model
摘要
Abstract
The conventional two-fluid model,neglecting mesoscale structures and requiring fine grids,fails to enable efficient industrial-scale simulations.This study develops a coarse-grid model with a mesoscale-struc-ture-based drag model(MSSD),establishing a flow-reaction coupling framework.Validations demonstrate the MSSD model's accuracy in predicting industrial fluidized-bed gasification.The results show that optimal gasification of industrial-scale equipment occurs at an equivalence ratio of 0.200 under low temperature;higher temperature and air preheating enhance reactions,while oxygen-enriched gasification in high altitude environment alleviates the decrease of syngas calorific value;5%moisture wheat straw yields peak syngas calorific value;rubber shows superior gasification efficiency among all feedstocks.Rice husk and bark require preheated air for optimization.This model breaks fine-grid constraints,offering a reliable theoretical tool and data support for the optimal design and operation control of industrial fluidized bed reactors.关键词
计算流体力学/生物质气化/传热传质/流化床/介尺度曳力模型Key words
computational fluid dynamics(CFD)/biomass gasification/heat and mass transfer/fluidized bed/mesoscale-structure-based drag model(MSSD)分类
能源与动力引用本文复制引用
罗子丰,金保昇,凌影..基于介尺度模型的大型生物质流化床低温气化特性数值模拟研究[J].东南大学学报（自然科学版）,2025,55(3):625-633,9.基金项目
江苏省碳达峰碳中和科技创新专项资金资助项目(BA2022103) （BA2022103）
国家自然科学基金资助项目(51976034). （51976034）
