%0 Journal Article
%T 基于多元线性回归的污泥水热炭燃料特性研究<br>Research on Fuel Properties of Sewage Sludge Derived Hydrochar Based on Multiple Linear Regression
%A 刘维科
%A 郑晓园
%A 王波
%A 应芝
%A 豆斌林
%J Modeling and Simulation
%P 902-915
%@ 2324-870X
%D 2022
%I Hans Publishing
%R 10.12677/MOS.2022.113084
%X 水热处理是一种高能效的污泥绿色预处理方法，可显著改善污泥脱水性能。掌握水热处理对污泥燃料特性的影响规律是顺利实现其后续热化学转化的前提。利用皮尔逊相关性分析评估原始污泥理化性质和水热处理条件与水热炭理化性质之间的线性相关关系。结果表明，水热炭中氢、氮、氧和挥发分含量与水热温度具有较强的负相关关系，而灰分和固定碳含量与水热温度具有较强的正相关关系。高位热值主要受原始污泥中碳、氢和灰分含量的影响，与原始污泥中碳、氢含量呈极强的正相关关系，而与灰分含量呈极强的负相关关系。高灰分含量会影响水热炭中碳含量变化，转化为干燥无灰基后，碳含量随着水热温度升高而增加。但较高的水热温度不利于水热炭收率增加。相比于水热温度，反应时间的影响较弱，上述结论与实验结果高度一致。根据方差分析建立包含具有统计意义变量的回归模型，模型精度较高(Adj.R <sup>2</sup> &gt; 0.8, RMSE &lt; 5%)，但对水热炭收率和含水率的预测精度略低。研究结果对水热炭燃料特性评估和水热处理条件优化具有指导意义。<br />
Hydrothermal (HT) treatment is an energy-efficient and green method for sewage sludge (SS) pretreatment, which can significantly improve the dewatering performance of SS. Mastering the effect of HT treatment on fuel properties of SS is the premise of its subsequent thermochemical conversion. Pearson analysis was adopted to evaluate the linear correlation among feedstock, HT conditions and hydrochar properties. Results showed that H, N, O and volatile matter (VM) contents in the hydrochar had a strong negative correlation with HT temperature, while ash and fixed carbon (FC) contents had a strong positive correlation with HT temperature. Higher heating value (HHV) of hydrochar was mainly affected by C, H and ash contents of raw SS, which had a strong positive correlation with C and H contents, but a negative correlation with ash content. High ash content of SS would overlap the variation of C content in the hydrochar, and it was found that C content augmented substantially with increasing HT temperature after transformation into dry and ash free (daf) basis, while the hydrochar yield decreased greatly. Compared with HT temperature, the influence of the reaction time was relatively weak. Good agreement has been observed between the Pearson analysis and experimental results. Subsequently, MLR models including statistically significant variables were developed based on ANOVA analysis, suggesting that these models fitted the data associated with hydrochar properties well in terms of Adj.R <sup>2</sup> &gt; 0.8 and RMSE &lt; 5%, while the prediction of yield and moisture content was acceptable. The research results can provide the guidance to evaluate fuel properties of hydrochar and optimize HT conditions.
%K 污水污泥，水热处理，水热炭，燃料特性，多元线性回归<br>Sewage Sludge
%K Hydrothermal Treatment
%K Hydrochar
%K Fuel Properties
%K Multiple Linear Regression
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=52107