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A novel machine learning-based approach for prediction of nitrogen content in hydrochar from hydrothermal carbonization of sewage sludge

机译：一种基于机器学习的基于机器学习方法，用于预测污水污泥水热碳化的氢淀粉中的氮含量

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摘要

In this work, 138 datapoints, including elemental composition and ultimate analysis of various types of sewage sludge, and the hydrothermal carbonization reaction conditions, are used to develop a prediction model for the nitrogen content of the hydrochar. The results suggested that a two-layer feedforward neural network with five (05) neurons in the hidden layer can accurately predict the nitrogen content of the hydrochar based on the reaction temperature and the contents of nitrogen, carbon, volatiles and fixed carbon in the feedstock. Over 100 runs, the R-2 and RMSE are in [87.547-99.097%] and [0.243-1.431] wt.% (db), respectively. Moreover, a statistical and regression analysis revealed that the sewage sludge-N is the main contributor to the hydrochar-N. Mostly, 40-70% of sewage sludge-N goes to hydrochar-N. The results are consistent with previous experimental reports, and this model can be used to predict the sewage sludge-derived hydrochar-N. (C) 2021 Elsevier Ltd. All rights reserved.
机译：在这项工作中，使用138个DataPoints，包括对各种类型的污水污泥的元素组成和最终分析，以及水热碳化反应条件，用于开发氢淀粉的氮含量的预测模型。结果表明，隐藏层中具有五（05）神经元的双层前馈神经网络可以基于反应温度和原料中的氮气，碳，挥发物和固定碳的含量精确地预测氢乙烯的氮含量。超过100次运行，R-2和RMSE分别在[87.547-99.097％]和[0.243-1.431]重量％（dB）中。此外，统计和回归分析表明，污水污泥-N是氢乙烯-N的主要贡献者。主要是，40-70％的污水污泥-N进入Hymrochar-n。结果与先前的实验报告一致，并且该模型可用于预测污水污泥衍生的水炭-N。 （c）2021 elestvier有限公司保留所有权利。

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  • 来源
    《Energy》 |2021年第1期|121010.1-121010.11|共11页
  • 作者

    Djandja Oraleou Sangue; Duan Pei-Gao; Yin Lin-Xin; Wang Zhi-Cong; Duo Jia;

  • 作者单位

    Xi An Jiao Tong Univ Sch Chem Engn & Technol Shaanxi Key Lab Energy Chem Proc Intensificat Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ Sch Chem Engn & Technol Shaanxi Key Lab Energy Chem Proc Intensificat Xian 710049 Shaanxi Peoples R China|Chinese Acad Sci Xinjiang Inst Ecol & Geog Xinjiang Key Lab Environm Pollut & Bioremediat Urumqi 830011 Peoples R China;

    Xi An Jiao Tong Univ Sch Chem Engn & Technol Shaanxi Key Lab Energy Chem Proc Intensificat Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ Sch Chem Engn & Technol Shaanxi Key Lab Energy Chem Proc Intensificat Xian 710049 Shaanxi Peoples R China;

    Chinese Acad Sci Xinjiang Inst Ecol & Geog Xinjiang Key Lab Environm Pollut & Bioremediat Urumqi 830011 Peoples R China|Chinese Acad Sci Natl Engn Technol Res Ctr Desert Oasis Ecol Const Xinjiang Inst Ecol & Geog 818 South Beijing Rd Urumqi 830011 Xinjiang Peoples R China|Univ Chinese Acad Sci Beijing 100049 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hydrothermal carbonization; Sewage sludge; Hydrochar; Nitrogen content; Machine learning;

    机译：水热碳化;污水污泥;水炭;氮含量;机器学习;

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