滴管炉中双燃料混合物的共燃建模:数值方法

Subhajit Aich, B. Nandi, Aditi Sengupta, Piyush Sharma
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引用次数: 0

摘要

本研究的重点是在滴管炉(DTF)中对废煤(RC)和盐叶(SL)在不同条件下(包括空气-燃料和氧气-燃料环境)的协同燃烧进行数值建模。数值结果表明,用二氧化碳替代 N2 对单种燃料及其混合物的温度曲线有显著影响。例如,当暴露在 21%O2/79%CO2 的环境中时,混合燃料 SL3 和混合燃料 SL5 的温度分别从 1372 K 到 1559 K 下降到 1327 K 和 1395 K。相反,将氧气浓度提高到 35% 会导致温度上升。此外,燃烧分析表明,在 21%O2/79%N2 的环境中向 RC 中添加 10%的 SL,可将其分解率从 1.41 × 10-12 kg/s 提高到 1.77 × 10-12 kg/s。此外,所有混合物的炭燃烧过程都在离 DTF 入口更近的 0.28 米处完成,而单独使用 RC 时为 0.32 米。这些发现表明,将 SL 与 RC 混合可促进良好的燃烧过程。此外,在富氧燃料条件下将氧气浓度提高到 35% 也会改善温度曲线。数值分析表明,在 ±5%-11% 的范围内,与实验数据的一致性很好。这表明,考虑到空气-燃料和全氧-燃料条件,所开发的模型可有效用于优化和设计工业应用中的生物质联合燃烧系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the co-combustion of bi-fuel blends in a drop tube furnace: A numerical approach
The present study focuses on the numerical modeling of the co-combustion of reject coal (RC) and sal leaves (SL) in a drop tube furnace (DTF) under different conditions, including air-fuel and oxy-fuel environments. The numerical results highlight the significant influence of replacing the N2 atmosphere with CO2 on the temperature profiles of individual fuels and their blends. For instance, when exposed to a 21%O2/79%CO2 atmosphere, Blend SL3 and Blend SL5 experience a decrease in temperature from 1372 K to 1559 K to 1327 K and 1395 K, respectively. Conversely, increasing the O2 concentration to 35% leads to a temperature rise. Furthermore, the combustion analysis reveals that the addition of 10% SL to RC in a 21%O2/79%N2 environment enhances the devolatilization rate from 1.41 × 10−12 kg/s to 1.77 × 10−12 kg/s. Additionally, the char combustion process for all blends is completed closer to the DTF inlet at 0.28 m, compared to 0.32 m for RC alone. These findings indicate that blending SL with RC promotes a favorable combustion process. Moreover, increasing the O2 concentration to 35% in oxy-fuel conditions enhances the temperature profiles. The numerical analysis demonstrates good agreement with experimental data within a range of ±5%–11%. This suggests that the developed model can be effectively utilized for optimizing and designing biomass co-firing systems in industrial applications, considering both air-fuel and oxy-fuel conditions.
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