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Multiobjective Optimization of the Energy Efficiency and the Steam Flow in a Bagasse Boiler

Author

Listed:
  • Ducardo L. Molina

    (Grupo de Investigación en Energías (GIEN), Faculty of Engineering, Universidad Autónoma de Occidente, Cll 25#115-85, Cali 760030, Colombia)

  • Juan Ricardo Vidal Medina

    (Grupo de Investigación en Energías (GIEN), Faculty of Engineering, Universidad Autónoma de Occidente, Cll 25#115-85, Cali 760030, Colombia)

  • Alexis Sagastume Gutiérrez

    (Department of Energy, Universidad de la Costa, Calle 58 No. 55-66, Barranquilla 080002, Colombia)

  • Juan J. Cabello Eras

    (Department of Mechanical Engineering, Universidad de Cordoba, Cra. 6 No. 77-305, Cordoba 230002, Colombia)

  • Jesús A. Lopez

    (Grupo de Investigación en Energías (GIEN), Faculty of Engineering, Universidad Autónoma de Occidente, Cll 25#115-85, Cali 760030, Colombia)

  • Simón Hincapie

    (Grupo de Investigación en Energías (GIEN), Faculty of Engineering, Universidad Autónoma de Occidente, Cll 25#115-85, Cali 760030, Colombia)

  • Enrique C. Quispe

    (Grupo de Investigación en Energías (GIEN), Faculty of Engineering, Universidad Autónoma de Occidente, Cll 25#115-85, Cali 760030, Colombia)

Abstract

Renewable energy and energy efficiency are essential for a transition to cleaner and sustainable energy. Photovoltaic and wind turbine systems introduce operation, control, protection, and planning issues, particularly affecting frequency stability in the grid. In contrast to more widespread wind turbines and photovoltaic systems, biomass based electricity systems are more stable with no negative impacts on the grid stability. The efficiency of bagasse boilers is essential to guaranteeing adequate economic profit and environmental performance in sugar plants. To realize universal access to affordable, reliable, and modern energy services by 2030 (SDG 7), the use of renewable energy sources in energy mixing and energy efficiency must increase globally. Sugar plants include cogeneration systems to provide heat and electricity to the process and frequently sell an electricity surplus to the grid, which depends on their energy efficiency. Boilers are an essential component of cogeneration systems in sugar plants, and their efficiency is crucial to guarantee electricity surplus. Therefore, this study assessed a bagasse boiler to optimize its operational efficiency. To this end, the exergy assessment and multiobjective optimization based on a genetic algorithm are used. The results show that the exergy efficiency of the boiler improved by 0.8% with the optimization, reducing bagasse consumption by 23 t/d.

Suggested Citation

  • Ducardo L. Molina & Juan Ricardo Vidal Medina & Alexis Sagastume Gutiérrez & Juan J. Cabello Eras & Jesús A. Lopez & Simón Hincapie & Enrique C. Quispe, 2023. "Multiobjective Optimization of the Energy Efficiency and the Steam Flow in a Bagasse Boiler," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11290-:d:1198166
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    References listed on IDEAS

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    1. Yong-Sheng Hao & Zhuo Chen & Li Sun & Junyu Liang & Hongxia Zhu, 2020. "Multi-Objective Intelligent Optimization of Superheated Steam Temperature Control Based on Cascaded Disturbance Observer," Sustainability, MDPI, vol. 12(19), pages 1-24, October.
    2. Srikant Gupta & Armin Fügenschuh & Irfan Ali, 2018. "A Multi-Criteria Goal Programming Model to Analyze the Sustainable Goals of India," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    3. Carrillo Caballero, Gaylord Enrique & Mendoza, Luis Sebastian & Martinez, Arnaldo Martin & Silva, Electo Eduardo & Melian, Vladimir Rafael & Venturini, Osvaldo José & del Olmo, Oscar Almazán, 2017. "Optimization of a Dish Stirling system working with DIR-type receiver using multi-objective techniques," Applied Energy, Elsevier, vol. 204(C), pages 271-286.
    4. Sunil, P.U. & Barve, Jayesh & Nataraj, P.S.V., 2017. "Mathematical modeling, simulation and validation of a boiler drum: Some investigations," Energy, Elsevier, vol. 126(C), pages 312-325.
    5. Guido Colombo & William Ocampo-Duque & Fabio Rinaldi, 2014. "Challenges in Bioenergy Production from Sugarcane Mills in Developing Countries: A Case Study," Energies, MDPI, vol. 7(9), pages 1-25, September.
    6. Eyerusalem Birru & Catharina Erlich & Idalberto Herrera & Andrew Martin & Sofia Feychting & Marina Vitez & Emma Bednarcik Abdulhadi & Anna Larsson & Emanuel Onoszko & Mattias Hallersbo & Louise Weilen, 2016. "A Comparison of Various Technological Options for Improving Energy and Water Use Efficiency in a Traditional Sugar Mill," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    7. Zima, Wiesław, 2019. "Simulation of steam superheater operation under conditions of pressure decrease," Energy, Elsevier, vol. 172(C), pages 932-944.
    8. Arshad, Muhammad & Ahmed, Sibtain, 2016. "Cogeneration through bagasse: A renewable strategy to meet the future energy needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 732-737.
    9. Khan, Yasir & Oubaih, Hana & Elgourrami, Fatima Zahra, 2022. "The effect of renewable energy sources on carbon dioxide emissions: Evaluating the role of governance, and ICT in Morocco," Renewable Energy, Elsevier, vol. 190(C), pages 752-763.
    10. Ohijeagbon, Idehai O. & Waheed, M. Adekojo & Jekayinfa, Simeon O., 2013. "Methodology for the physical and chemical exergetic analysis of steam boilers," Energy, Elsevier, vol. 53(C), pages 153-164.
    11. Audet, Charles & Bigeon, Jean & Cartier, Dominique & Le Digabel, Sébastien & Salomon, Ludovic, 2021. "Performance indicators in multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 292(2), pages 397-422.
    12. Pellegrini, Luiz Felipe & de Oliveira Junior, Silvio, 2011. "Combined production of sugar, ethanol and electricity: Thermoeconomic and environmental analysis and optimization," Energy, Elsevier, vol. 36(6), pages 3704-3715.
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