Experimental research into the ignition and combustion characteristics of slurry fuels based on dry and wet coal processing waste

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Abstract

The paper presents the results of comparing the integral characteristics of ignition and combustion of coal and composite fuels, prepared from coal processing waste in a dry and wet state, in a model combustion chamber. We calculated the relative fuel performance coefficients, taking into account the established ignition delay times, fuel burnout duration, concentrations of gaseous anthropogenic emissions, as well as temperature changes (reduction at the initial stage and growth during rapid combustion) in the model combustion chamber. It was shown that the ignition delay times of coal processing waste in a dry state are 30–70% lower than in the initial wet state. However, burning wet coal processing waste provides the lowest concentrations of NOx and SO2 (5–44% lower than in a dry state and 35–70% lower than they are for coal). Considering the main environmental, economic and energy performance indicators, optimal conditions were established for the combustion of abundant coal processing waste as part of water-containing slurry fuels. It was established that the relative performance coefficient of slurry fuels ranges from 2.05 to 58.87 when varying the moisture content and component composition. This coefficient is maximum for wet filter cake without oil. This allowed us to conclude that wet coal processing waste is highly promising.

Original languageEnglish
Pages (from-to)213-224
Number of pages12
JournalJournal of the Energy Institute
Volume97
DOIs
Publication statusPublished - Aug 2021

Keywords

  • Coal processing waste
  • Gaseous anthropogenic emissions
  • Ignition delay times
  • Relative performance coefficient of fuel
  • Slurry fuel

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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