XU Aimin, ZHOU Jianzhong, SONG Yucai, DENG Bowen, HU Qing, ZHANG Haidan, CHEN Jun, LIANG Yukun. Domestic power coal calorific value and grindability index prediction model[J]. Coal Preparation Technology, 2021, 49(5): 24-27. DOI: 10.16447/j.cnki.cpt.2021.05.005
    Citation: XU Aimin, ZHOU Jianzhong, SONG Yucai, DENG Bowen, HU Qing, ZHANG Haidan, CHEN Jun, LIANG Yukun. Domestic power coal calorific value and grindability index prediction model[J]. Coal Preparation Technology, 2021, 49(5): 24-27. DOI: 10.16447/j.cnki.cpt.2021.05.005

    Domestic power coal calorific value and grindability index prediction model

    • The parameters obtained through proximate analysis, elementary analysis and the analysis of calorific value and grindability index are the basic indicators of the characteristics and property of power coal while the calorific value is a parameter of crucial importance to the heat input of coal-fired power plant, and the grindability of the coal is an important parameter to measure the energy consumption of coal pulverizing system. Hence, calorific value and grindability index are of vital importance for power to select suitable coal for use as fuel. A study is made in the paper of the correlation between the results of both proximate and elementary analysis, calorific value and grindability index (HGI) with 32 kinds of domestic pulverized power coal samples. Test result indicates that the net calorific value calculated using Mendeleev′s empirical formula is generally higher than the actually measured value and the standard variance between the calculated and measured values can be reduced by modifying Mendeleev′s empirical formula. Additionally, the empirical formula of HGI is derived based on proximate analysis, but the HGI and the parameters obtained through proximate analysis are found to be easily correlated. So, the HGI prediction model needs to be further improved.
    • loading

    Catalog

      Turn off MathJax
      Article Contents

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return