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Analyzing thermodynamic improvement potential of a selected cement manufacturing process: Advanced exergy analysis

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  • Fellaou, S.
  • Bounahmidi, T.

Abstract

Cement industry uses very energy-intensive operations resulting in a suboptimal sustainable performance. The objective of this research is to provide insight into the value of exergy analysis in sustainability assessment of cement industry. For that purpose, a detailed exergy evaluation of a complete cement plant located in Morocco was performed using both conventional and advanced exergetic analysis. The major internal exergy losses were identified during the calcination process and the two raw mill departments, which amounts to about 78.66%, 70.86%, and 72.12% respectively. Those irreversibilities are split into avoidable/unavoidable exergy destruction in the advanced exergy analysis. Findings show that 15%, 29.21% and 31.54% of the total exergy destruction in the calciner and the raw mills 1 and 2 respectively are avoidable. However, there is a need for optimization of comminution and combustion operating parameters in the cement production process currently in use.

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  • 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.
    • Handle: RePEc:eee:energy:v:154:y:2018:i:c:p:190-200
    DOI: 10.1016/j.energy.2018.04.121
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    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. 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.
    6. 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.
    7. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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