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Statistical modeling and optimization of the combustion efficiency in cement kiln precalciner

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  • Fellaou, S.
  • Harnoune, A.
  • Seghra, M.A.
  • Bounahmidi, T.

Abstract

Cement industry is highly energy and emissions intensive. Thermal energy is majorly used in the kiln and calciner systems, accounting for over 90% of total energy use in cement plant, and virtually all of the fuel use. Therefore, the precalciner is one of the key equipment in cement manufacturing process impacting the energy efficiency of the pyroprocessing unit. The purpose of this paper is to demonstrate the potential of statistical modeling to support the optimization of precalciners. According to the current knowledge of the authors, this is the first investigation using statistical models to optimize combustion system operating conditions by analyzing historical and experimental design data. Multiple linear regressions were obtained for each of the two approaches with statistically comparable variances. It should be noted that the optimum obtained with the experimental design is better because the corresponding model describes a larger range of operating variables. On the basis of the experiment-based model, 60% of the total unburned organic carbon could be reduced.

Suggested Citation

  • Fellaou, S. & Harnoune, A. & Seghra, M.A. & Bounahmidi, T., 2018. "Statistical modeling and optimization of the combustion efficiency in cement kiln precalciner," Energy, Elsevier, vol. 155(C), pages 351-359.
    • Handle: RePEc:eee:energy:v:155:y:2018:i:c:p:351-359
    DOI: 10.1016/j.energy.2018.04.181
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    References listed on IDEAS

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    1. Mikulčić, Hrvoje & Vujanović, Milan & Fidaros, Dimitris K. & Priesching, Peter & Minić, Ivica & Tatschl, Reinhard & Duić, Neven & Stefanović, Gordana, 2012. "The application of CFD modelling to support the reduction of CO2 emissions in cement industry," Energy, Elsevier, vol. 45(1), pages 464-473.
    2. Fellaou, S. & Bounahmidi, T., 2018. "Analyzing thermodynamic improvement potential of a selected cement manufacturing process: Advanced exergy analysis," Energy, Elsevier, vol. 154(C), pages 190-200.
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    1. Sharma, Prateek & Sheth, Pratik N. & Mohapatra, B.N., 2023. "Co-processing of petcoke and producer gas obtained from RDF gasification in a white cement plant: A techno-economic analysis," Energy, Elsevier, vol. 265(C).

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