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Clean Technologies and Environmental Policy

, Volume 13, Issue 3, pp 459–468 | Cite as

Aspen Plus-based simulation of a cement calciner and optimization analysis of air pollutants emission

  • Yun ZhangEmail author
  • Shen-Xue Cao
  • Shuai Shao
  • Yu Chen
  • Su-Ling Liu
  • Shu-Shen Zhang
Original Paper

Abstract

The cement industry is a typical high energy consumption and heavy pollution industry, in which amounts of CO2, NO, NO2, and SO2 discharge from the pre-calciner kiln system and cause severe greenhouse and acid rain effects. Meanwhile, reasonable division of the combustion environment in the calciner is the main method to control the formation of pollutant gases. In this article, a calciner process model in Aspen Plus is proposed based on the combustion mechanism analysis of the Dual Combustion and Denitration calciner (DD-calciner) and verified by industrial data. Then, for a concrete DD-calciner, the article studies the effects of the flow rate of coal and tertiary air on flue gas compositions and effects of the staging combustion technology on the NO x , SO2, and CO concentrations in the flue gas. Through comparing the model results with the relevant environmental standards, the optimization analysis for staging combustion parameters of the calciner is done, and the result shows that when the proportion of tertiary air entering the pyrolysis and combustion zone is controlled within the range of 57–65.52% (0.89 < α < 1.004), all the gas pollutants emit within accepted standards simultaneously. The calciner process model outlined in this article describes the key processes of the physical and chemical reactions in the calciner. It can be used to study the key operation and design parameters which influence the flue gas constituents, so as to provide data support for determining the pollutant emission reduction plan of the cement industries with a view to reduce air pollutant emission.

Keywords

Calciner Mechanism analysis Aspen Plus Staging combustion Emission reduction 

Notes

Acknowledgments

This research was supported by the Science and Technology Subject Program of Education Department of Liaoning Province, China (Project Number LS 2010048), by the Science and Technology Program Subject of Liaoning Province, China (Project Number 2009308001) and Dalian Science and Technology Program Subject of China. We also acknowledge Professor Zhang Shuwei in Institute of Chemical Technology for his kind directions and suggestions.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Yun Zhang
    • 1
    Email author
  • Shen-Xue Cao
    • 1
  • Shuai Shao
    • 1
  • Yu Chen
    • 1
  • Su-Ling Liu
    • 1
  • Shu-Shen Zhang
    • 1
  1. 1.Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and TechnologyDalian University of TechnologyDalian, LiaoningPeople’s Republic of China

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