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    生物质厌氧发酵–气化耦合处置过程模拟与碳效益评估

    Carbon footprint reduction and process simulation of a combined biomass anaerobic digestion-gasification system

    • 摘要: 厌氧发酵−气化耦合技术作为一种新型生物质高效转化路径,可显著提升生物质处置与转化效率,在实现“双碳”目标的背景下具有广阔的应用前景。借助机器学习方法,将传统厌氧发酵模型与气化过程模型有机融合,构建了生物质厌氧发酵−气化耦合过程的动态模拟体系,系统揭示了从厌氧发酵至气化全流程中关键产物的动态演变规律。模拟与试验验证结果表明:该耦合模型对气化阶段主要气体产物(包括H2、CO、CH4、CO2)浓度预测的平均精度达到91.3%,相较于传统单一气化模型预测精度提高了12.5%,显示出优异的泛化与预测能力。在厌氧发酵初期阶段(0~6 d),发酵系统表现出较高的产甲烷活性,挥发性脂肪酸快速降解,累计甲烷产量快速上升至136.4 mL/g,为发酵系统主要产甲烷阶段。随着发酵进行,沼渣的理化性质发生明显变化:C、O元素在沼渣中的质量分数呈整体下降趋势,C元素的质量分数从初始34.14%降至29.11%,O元素的质量分数由30.05%降至20.10%,反映出有机组分分解并向CO2和CH4转化的规律。N元素的质量分数从2.15%上升至2.57%,主要归因于含碳组分的降解导致相对富氮。在碳减排效益评估方面,以单位生物质输入所产生的CO2排放当量为指标,其随发酵时间的增加呈先升后降趋势。当厌氧发酵进行至第3 d时,耦合系统CO2排放当量值达到最高(0.0694 gCO2eq),说明该时间点系统碳减排性能最优。研究为生物质原料梯级利用技术的工程化应用提供了关键理论支撑。

       

      Abstract: The anaerobic digestion-gasification coupled technology, as an innovative pathway for efficient biomass conversion, significantly enhances biomass treatment and conversion efficiency. This technology demonstrates broad application prospects in the context of achieving the “dual carbon” goals. In this study, machine learning methods were employed to integrate traditional anaerobic digestion models with gasification process models. A dynamic simulation system for the coupled anaerobic digestion-gasification process of biomass was constructed. The dynamic evolution patterns of key products throughout the entire process from anaerobic digestion to gasification were systematically revealed. Simulation and experimental validation results indicated that the coupled model achieved an average prediction accuracy of 91.3% for the concentrations of major gas products (including H2, CO, CH4, CO2) during the gasification stage. Compared with traditional single gasification models, the prediction accuracy was improved by 12.5%, demonstrating excellent generalization and prediction capabilities. In the initial stage of anaerobic digestion (0−6 days), the system exhibited high methanogenic activity. Volatile fatty acids were rapidly degraded, and the cumulative methane production increased rapidly to 136.4 mL/g, marking the main methanogenic phase of the digestion system. As anaerobic digestion progressed, significant changes were observed in the physicochemical properties of the digestate. The contents of C and O elements showed an overall decreasing trend: C decreased from 34.14% to 29.11%, and O decreased from 30.05% to 20.10%. These results reflected the decomposition of organic components and their conversion into CO₂ and CH₄. The N element content increased from 2.15% to 2.57%, primarily due to the relative nitrogen enrichment resulting from the degradation of carbon-containing components. In terms of carbon emission reduction benefits, the CO2 emission equivalent per unit of biomass input initially increased and then decreased with digestion time. The CO2 emission equivalent of the coupled system reached its highest value (0.0694 gCO2eq) on the third day of anaerobic digestion, indicating the optimal carbon reduction performance of the system at this time point. This study provides critical theoretical support for the engineering application of biomass cascade utilization technology.

       

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