• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
高碱煤燃烧过程中碱金属沾污特性的预测模型研究
  • Title

    Study on prediction model of alkali metal contamination characteristics during high alkali coal combustion

  • 作者

    宋国良杨雪婷杨少波

  • Author

    SONG Guoliang,YANG Xueting,YANG Shaobo

  • 单位

    中国科学院 工程热物理研究所中国科学院大学

  • Organization
    1.Institute of Engineering Thermophysics,Chinese Academy of Science,Beijing ,China;2.University of Chinese Academy of Science,Beijing ,China
  • 摘要

    为了克服传统预测方法的局限性,笔者提供了一种能够准确预测高碱煤燃烧沾污特性的模型,该预测模型还可以根据煤的沾污特性给出其适用的温度范围。本预测模型采用三步化学萃取法来检测煤样中的钠含量,以避免对煤进行灰化时造成钠的挥发损失,因此能够直接精确地测定煤样中的总钠含量及各个形态的钠含量。另外,本预测模型不仅考虑钠、钾和固相沾污源的影响,同时考虑到其它易挥发组分(如碱土金属、硫和氯)对煤沾污特性的影响,并将温度引入沾污模型中。按本模型获得的沾污指数RT预测量化区间如下:RT≤0.60,弱沾污性;0.60<RT≤1.00,中等沾污性;RT>1.00,强沾污性。为验证该预测模型的准确性,分别以沙尔湖煤和神华准东煤为试验对象对预测模型进行了验证,验证结果表明:① 700 ℃时,RT=0.59<0.60,沙尔湖煤处于弱沾污区;850 ℃时,0.60<RT=0.83<1.0,沙尔湖煤处于中等沾污区;900 ℃时,0.60<RT=0.95<1.0,沙尔湖煤处于中等沾污区;950 ℃时,RT=1.11>1.0,沙尔湖煤处于强沾污区。②神华准东煤相比于沙尔湖煤沾污性较弱。850 ℃时,RT=0.53<0.60,神华准东煤处于弱沾污区;900 ℃时,0.60<RT=0.78<1.0,神华准东煤处于中等沾污区;950 ℃时,0.60<RT=0.87<1.0,神华准东煤处于中等沾污区。该预测结果分别与沙尔湖煤和神华准东煤的燃烧试验结果一致,进一步验证了预测模型应用的准确性与可靠性,可适用于高碱煤工业应用过程中碱金属沾污性的预测。


  • Abstract
    In order to overcome the limitations of traditional prediction methods,a new model that can accurately predict the pollution characteristics of high-alkali coal combustion was provided and a proper range of temperature was given according to the pollution characteristics of coal.This prediction model adopts a three-step chemical extraction method to to detect the sodium content in the coal sample to avoid the sodium volatilization loss caused by coal ashing.Therefore, the total sodium content and various forms of sodium in the coal sample can be directly and accurately determined.In addition, this prediction model not only considers the effects of sodium, potassium, and solid-phase pollution sources, but also considers the effects of other volatile components (such as alkaline earth metals, sulfur, and chlorine) on coal pollution characteristics, and introduces temperature into the pollution.The prediction and quantification interval of the staining index RT obtained according to this model is as follows:when RT≤0.60,the contamination characteristics of coal is weak;when 0.60<RT≤1.00, the contamination characteristics of coal is medium; when RT>1.00, the contamination characteristics of coal is strong.Shaerhu coal and Shenhua Zhundong coal are used to verify the accuracy of this prediction model, the results show that:①At 700 ℃, RT=0.59<0.60, Shaerhu coal is in a weak contamination area; at 850 ℃,0.60 < RT= 0.83 < 1.0, Shaerhu coal is in a medium contamination area; at 900 ℃,0.60 <RT=0.95<1.0, Shaerhu coal is in a medium contamination area; at 950 ℃,RT=1.11>1.0, Shaerhu coal is in a strong contamination area.②Shenhua Zhundong Coal has weaker contamination properties than Shaar Lake coal.At 850 ℃,RT=0.53<0.60, ShenhuaZhundong coal is in a weak contamination area; at 900 ℃,0.60 <RT=0.78<1.0, Shenhua Zhundong coal is in a moderately contamination area; at 950 ℃,0.60<RT=0.87<1.0, Shenhua Zhundong coal is in a moderately contamination area.The prediction results are consistent with the combustion test results of Shaerhu coal and Shenhua Zhundong coal, respectively, further verifying the accuracy and reliability of this prediction model.This prediction model can be applied to the prediction of contamination characteristics of high alkali coal.
  • 关键词

    高碱煤沾污性碱金属温度预测模型

  • KeyWords

    high-alkali coal;contaminationcharacteristics;alkali metal;temperature; prediction model

  • 基金项目(Foundation)
    国家重点研发计划资助项目(2018YFB0604104)
  • 相关专题
相关问题

主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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