Data analysis of kinetics and production of biofuels from pyrolysis of sewage sludge

Thermogravimetric analysis data from a thermogravimetric analyzer (TGA) was used to investigate the kinetics of sewage sludge pyrolysis. In a TGA, sewage sludge was pyrolyzed, and mass loss data was recorded as a function of temperature and time. The coats-Redfern method was used to compute the activation energy and pre-exponential factor of pyrolysis of sewage sludge, which may be reused in large-scale pyrolysis reactor design. To measure the Arrhenius factors, various models used in Coats-Redfern methods were applied, regression coefficient (R2) was deciding factor to understand the reaction mechanism. Data on sewage sludge pyrolysis products was acquired using a lab-scale reactor at various temperatures. The metal oxide content of biochar formed from the process was determined using X-Ray Fluorescence (XRF) spectroscopy, while non-condensable gases were determined using Gas chromatography – Thermal conductivity detector (GC-TCD). The fuel gas produced by the sewage sludge pyrolysis process was quantified using GC-TCD data. The original publication included more biochar characterization.热重分析仪（Thermogravimetric Analyzer, TGA）获取的热重分析数据，被用于探究污泥热解的动力学过程。在热重分析实验中，对污泥进行热解处理，并记录下随温度与时间变化的质量损失数据。本研究采用Coats-Redfern法计算污泥热解的活化能与指前因子，该结果可用于规模化热解反应器的设计工作。为测定阿仑尼乌斯因子，本研究采用了Coats-Redfern法中的多种模型，并以回归系数（R²）作为判断反应机理的核心依据。本研究通过实验室规模反应器在不同温度下获取了污泥热解产物的相关数据。采用X射线荧光光谱法（X-Ray Fluorescence, XRF）测定了该过程生成的生物炭的金属氧化物含量，同时采用气相色谱-热导检测器（Gas Chromatography-Thermal Conductivity Detector, GC-TCD）对不凝性气体进行检测。利用GC-TCD检测数据对污泥热解过程产生的燃料气进行了定量分析。原研究文献中还包含了更多关于生物炭的表征分析内容。