IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i5p2460-d1087924.html
   My bibliography  Save this article

Thermodynamic Performance of a Cogeneration Plant Driven by Waste Heat from Cement Kilns Exhaust Gases

Author

Listed:
  • Baby-Jean Robert Mungyeko Bisulandu

    (Laboratoire de Recherche en Energie Eolienne (LREE), Université du Québec à Rimouski (UQAR), 300 Allée des Ursulines, Rimouski, QC G5L 3A1, Canada
    Institut de Recherche Futuris—Futuris Research Institute (InReF), OEFC & Faculté Polytechnique, Université Kongo, Mbanza-Ngungu B.P. 202, Democratic Republic of the Congo)

  • Adrian Ilinca

    (Department of Mechanical Engineering, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada)

  • Marcel Tsimba Mboko

    (Faculté Polytechnique, Université Président Joseph Kasa-Vubu, Boma B.P. 314, Democratic Republic of the Congo)

  • Lucien Mbozi Mbozi

    (Faculté Polytechnique, Université Président Joseph Kasa-Vubu, Boma B.P. 314, Democratic Republic of the Congo)

Abstract

The dwindling and scarcity of fossil energy sources is the basis of the energy transition, where renewable resources are increasingly valued. The purpose of the cogeneration system studied in this article is to recover the residual heat from the gases coming out of the chimneys of the cement kilns, to produce at the same time the electricity and the heat required for offices and residential houses of cement workers. Cement kilns are reputed to be energy-intensive, generating excessive heat losses. These heat losses are found mainly in the conduction–convective and radiative modes, representing about 26% of the overall heat input to the system. Nevertheless, the gases at the chimney outlet can still have temperatures between 250 and 350 °C, which presents a non-negligible potential for a cogeneration system. This study compares the thermal performance of different cogeneration plant configurations (KCA, KCB, and KCC systems) using the Kalina cycle to determine the best one. Several assumptions were made to reduce the complexity of the model. MATLAB and Excel software were used to solve the system of equations. After extensive analysis of the results, the KCA system showed the best performance, compared to the KCB and KCC systems, with a thermal efficiency of 22.15%, an exergy efficiency of 45.12%, and a net electrical capacity of 2565.03 kWe. Model sensitivity to concentration, temperature, and pressure variations also gave the KCA system the best-performing system. Evaluation of the excess heat flux removed from the process yields values of 7368.20 kW, 7421.86 kW, and 8094.15 kW for the KCA, KCB, and KCC systems. The results of this article serve as a decision support tool for installing the cogeneration system via the Kalina cycle in cement installations.

Suggested Citation

  • Baby-Jean Robert Mungyeko Bisulandu & Adrian Ilinca & Marcel Tsimba Mboko & Lucien Mbozi Mbozi, 2023. "Thermodynamic Performance of a Cogeneration Plant Driven by Waste Heat from Cement Kilns Exhaust Gases," Energies, MDPI, vol. 16(5), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2460-:d:1087924
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/5/2460/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/5/2460/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Savvas L. Douvartzides & Aristidis Tsiolikas & Nikolaos D. Charisiou & Manolis Souliotis & Vayos Karayannis & Nikolaos Taousanidis, 2022. "Energy and Exergy-Based Screening of Various Refrigerants, Hydrocarbons and Siloxanes for the Optimization of Biomass Boiler–Organic Rankine Cycle (BB–ORC) Heat and Power Cogeneration Plants," Energies, MDPI, vol. 15(15), pages 1-26, July.
    2. Liu, Xianglong & Hu, Guang & Zeng, Zhi, 2023. "Performance characterization and multi-objective optimization of integrating a biomass-fueled brayton cycle, a kalina cycle, and an organic rankine cycle with a claude hydrogen liquefaction cycle," Energy, Elsevier, vol. 263(PB).
    3. Jamaluddin, Khairulnadzmi & Wan Alwi, Sharifah Rafidah & Abd Manan, Zainuddin & Hamzah, Khaidzir & Klemeš, Jiří Jaromír, 2022. "Design of Total Site-Integrated TrigenerationSystem using trigeneration cascade analysis considering transmission losses and sensitivity analysis," Energy, Elsevier, vol. 252(C).
    4. Braimakis, Konstantinos & Karellas, Sotirios, 2023. "Exergy efficiency potential of dual-phase expansion trilateral and partial evaporation ORC with zeotropic mixtures," Energy, Elsevier, vol. 262(PB).
    5. Cheng, Ziyang & Wang, Jiangfeng & Yang, Peijun & Wang, Yaxiong & Chen, Gang & Zhao, Pan & Dai, Yiping, 2022. "Comparison of control strategies and dynamic behaviour analysis of a Kalina cycle driven by a low-grade heat source," Energy, Elsevier, vol. 242(C).
    6. Jana, Kuntal & Ray, Avishek & Majoumerd, Mohammad Mansouri & Assadi, Mohsen & De, Sudipta, 2017. "Polygeneration as a future sustainable energy solution – A comprehensive review," Applied Energy, Elsevier, vol. 202(C), pages 88-111.
    7. Karellas, S. & Leontaritis, A.-D. & Panousis, G. & Bellos, E. & Kakaras, E., 2013. "Energetic and exergetic analysis of waste heat recovery systems in the cement industry," Energy, Elsevier, vol. 58(C), pages 147-156.
    8. Salemi, Sina & Torabi, Morteza & Haghparast, Arash Kashani, 2022. "Technoeconomical investigation of energy harvesting from MIDREX® process waste heat using Kalina cycle in direct reduction iron process," Energy, Elsevier, vol. 239(PE).
    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. Baby-Jean Robert Mungyeko Bisulandu & Rami Mansouri & Marcel Tsimba Mboko & Lucien Mbozi Mbozi & Adrian Ilinca, 2024. "Innovative Multigeneration System with Heat Exchangers for Harnessing Thermal Energy from Cement Kiln Exhaust Gases," Energies, MDPI, vol. 17(12), pages 1-29, June.

    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. Fan, Chengcheng & Zhang, Chengbin & Chen, Yongping, 2024. "Dynamic operation characteristics of ocean thermal energy conversion using Kalina cycle," Renewable Energy, Elsevier, vol. 231(C).
    2. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).
    3. Jung, Chung Woo & Song, Joo Young & Kang, Yong Tae, 2018. "Study on ammonia/water hybrid absorption/compression heat pump cycle to produce high temperature process water," Energy, Elsevier, vol. 145(C), pages 458-467.
    4. Oyekale, Joseph & Petrollese, Mario & Cau, Giorgio, 2020. "Modified auxiliary exergy costing in advanced exergoeconomic analysis applied to a hybrid solar-biomass organic Rankine cycle plant," Applied Energy, Elsevier, vol. 268(C).
    5. Li, Pengcheng & Cao, Qing & Li, Jing & Lin, Haiwei & Wang, Yandong & Gao, Guangtao & Pei, Gang & Jie, Desuan & Liu, Xunfen, 2021. "An innovative approach to recovery of fluctuating industrial exhaust heat sources using cascade Rankine cycle and two-stage accumulators," Energy, Elsevier, vol. 228(C).
    6. 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.
    7. Javier Uche & Amaya Martínez-Gracia & Ignacio Zabalza & Sergio Usón, 2024. "Renewable Energy Source (RES)-Based Polygeneration Systems for Multi-Family Houses," Sustainability, MDPI, vol. 16(3), pages 1-21, January.
    8. Liu, Yan & Yang, Jian & Wang, Jin & Cheng, Zhi-long & Wang, Qiu-wang, 2014. "Energy and exergy analysis for waste heat cascade utilization in sinter cooling bed," Energy, Elsevier, vol. 67(C), pages 370-380.
    9. Firth, Anton & Zhang, Bo & Yang, Aidong, 2019. "Quantification of global waste heat and its environmental effects," Applied Energy, Elsevier, vol. 235(C), pages 1314-1334.
    10. Xue, Xiaodi & Guo, Cong & Du, Xiaoze & Yang, Lijun & Yang, Yongping, 2015. "Thermodynamic analysis and optimization of a two-stage organic Rankine cycle for liquefied natural gas cryogenic exergy recovery," Energy, Elsevier, vol. 83(C), pages 778-787.
    11. Bourhan Tashtoush & Jing Luo & Tatiana Morosuk, 2024. "Exergy-Based Optimization of a CO 2 Polygeneration System: A Multi-Case Study," Energies, MDPI, vol. 17(2), pages 1-17, January.
    12. Masih Hosseinzadeh & Hossein Mashhadimoslem & Farid Maleki & Ali Elkamel, 2022. "Prediction of Solid Conversion Process in Direct Reduction Iron Oxide Using Machine Learning," Energies, MDPI, vol. 15(24), pages 1-25, December.
    13. Francesca Ceglia & Adriano Macaluso & Elisa Marrasso & Carlo Roselli & Laura Vanoli, 2020. "Energy, Environmental, and Economic Analyses of Geothermal Polygeneration System Using Dynamic Simulations," Energies, MDPI, vol. 13(18), pages 1-34, September.
    14. Konstantin Kalmykov & Irina Anikina & Daria Kolbantseva & Milana Trescheva & Dmitriy Treschev & Aleksandr Kalyutik & Alena Aleshina & Iaroslav Vladimirov, 2022. "Use of Heat Pumps in the Hydrogen Production Cycle at Thermal Power Plants," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    15. Zhou, Xiao & Cai, Yangchao & Li, Xuetao, 2024. "Process arrangement and multi-aspect study of a novel environmentally-friendly multigeneration plant relying on a geothermal-based plant combined with the goswami cycle booted by kalina and desalinati," Energy, Elsevier, vol. 299(C).
    16. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    17. Qin, Shiyue & Chang, Shiyan & Yao, Qiang, 2018. "Modeling, thermodynamic and techno-economic analysis of coal-to-liquids process with different entrained flow coal gasifiers," Applied Energy, Elsevier, vol. 229(C), pages 413-432.
    18. Rigo-Mariani, Rémy & Chea Wae, Sean Ooi & Mazzoni, Stefano & Romagnoli, Alessandro, 2020. "Comparison of optimization frameworks for the design of a multi-energy microgrid," Applied Energy, Elsevier, vol. 257(C).
    19. Luis Gabriel Gesteira & Javier Uche & Francesco Liberato Cappiello & Luca Cimmino, 2023. "Thermoeconomic Optimization of a Polygeneration System Based on a Solar-Assisted Desiccant Cooling," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    20. Kang, Lixia & Tang, Jianping & Liu, Yongzhong, 2020. "Optimal design of an organic Rankine cycle system considering the expected variations on heat sources," Energy, Elsevier, vol. 213(C).

    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:gam:jeners:v:16:y:2023:i:5:p:2460-:d:1087924. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.