IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v155y2018icp351-359.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218308041
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.04.181?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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).
    2. Cui, Ying & Ye, Lin & Yao, Zhongran & Gu, Xiaoyong & Wang, Xinwang, 2024. "Performance optimization of cement calciner based on CFD simulation and machine learning algorithm," Energy, Elsevier, vol. 302(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mikulčić, Hrvoje & Vujanović, Milan & Ashhab, Moh'd Sami & Duić, Neven, 2014. "Large eddy simulation of a two-phase reacting swirl flow inside a cement cyclone," Energy, Elsevier, vol. 75(C), pages 89-96.
    2. Grzegorz Ludwik Golewski, 2020. "Energy Savings Associated with the Use of Fly Ash and Nanoadditives in the Cement Composition," Energies, MDPI, vol. 13(9), pages 1-20, May.
    3. Mingquan Wang & Lingyun Zhang & Xin Su & Yang Lei & Qun Shen & Wei Wei & Maohua Wang, 2019. "Assessing the technology impact for industry carbon density reduction in China based on C3IAM-Tice," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1455-1468, December.
    4. Kumar, Laveet & Hasanuzzaman, M. & Rahim, N.A. & Islam, M.M., 2021. "Modeling, simulation and outdoor experimental performance analysis of a solar-assisted process heating system for industrial process heat," Renewable Energy, Elsevier, vol. 164(C), pages 656-673.
    5. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    6. Song, Dan & Lin, Ling & Wu, Ye, 2019. "Extended exergy accounting for a typical cement industry in China," Energy, Elsevier, vol. 174(C), pages 678-686.
    7. Matthias Leisin & Peter Radgen, 2023. "Holistic Assessment of Decarbonization Pathways of Energy-Intensive Industries Based on Exergy Analysis," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
    8. Ansari, Nastaran & Seifi, Abbas, 2013. "A system dynamics model for analyzing energy consumption and CO2 emission in Iranian cement industry under various production and export scenarios," Energy Policy, Elsevier, vol. 58(C), pages 75-89.
    9. Huseyin Gunhan Ozcan & Arif Hepbasli & Aysegul Abusoglu & Amjad Anvari-Moghaddam, 2021. "Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies," Energies, MDPI, vol. 14(16), pages 1-21, August.
    10. Badur, Janusz & Ziółkowski, Paweł & Sławiński, Daniel & Kornet, Sebastian, 2015. "An approach for estimation of water wall degradation within pulverized-coal boilers," Energy, Elsevier, vol. 92(P1), pages 142-152.
    11. Aranda Usón, Alfonso & López-Sabirón, Ana M. & Ferreira, Germán & Llera Sastresa, Eva, 2013. "Uses of alternative fuels and raw materials in the cement industry as sustainable waste management options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 242-260.
    12. El Hallaoui, Zhor & El Hamdani, Fayrouz & Vaudreuil, Sébastien & Bounahmidi, Tijani & Abderafi, Souad, 2022. "Identifying the optimum operating conditions for the integration of a solar loop to power an industrial flash dryer: Combining an exergy analysis with genetic algorithm optimization," Renewable Energy, Elsevier, vol. 191(C), pages 828-841.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:155:y:2018:i:c:p:351-359. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.