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Comparative and Descriptive Study of Biomass Gasification Simulations Using Aspen Plus

Author

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  • Minda Loweski Feliz

    (Laboratoire de Sécurité des Procédés Chimiques (LSPC), INSA Rouen Normandie, Université de Rouen Normandie, 76800 Saint-Étienne-du-Rouvray, France)

  • Lokmane Abdelouahed

    (Laboratoire de Sécurité des Procédés Chimiques (LSPC), INSA Rouen Normandie, Université de Rouen Normandie, 76800 Saint-Étienne-du-Rouvray, France)

  • Bechara Taouk

    (Laboratoire de Sécurité des Procédés Chimiques (LSPC), INSA Rouen Normandie, Université de Rouen Normandie, 76800 Saint-Étienne-du-Rouvray, France)

Abstract

Biomass gasification has emerged as a promising method for producing renewable energy, addressing both energy and environmental challenges. This review examines recent research on gasification simulations, covering a range of topics from process modeling to syngas cleanup. Key areas explored include techniques for syngas cleaning, addressing tar formation, and CO 2 capture methods. The aim of this review is to provide an overview of the current state of gasification simulation and identify potential areas for future research and development. This work serves as an invaluable resource for researchers, engineers, and industry professionals involved in biomass gasification modeling. By providing a comprehensive guide to biomass gasification simulation using Aspen Plus software and comparing various modeling approaches, it assists users in selecting the most effective tool for optimizing the design and operation of gasification systems.

Suggested Citation

  • Minda Loweski Feliz & Lokmane Abdelouahed & Bechara Taouk, 2024. "Comparative and Descriptive Study of Biomass Gasification Simulations Using Aspen Plus," Energies, MDPI, vol. 17(17), pages 1-32, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4443-:d:1471444
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    References listed on IDEAS

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    1. Tavares, Raquel & Monteiro, Eliseu & Tabet, Fouzi & Rouboa, Abel, 2020. "Numerical investigation of optimum operating conditions for syngas and hydrogen production from biomass gasification using Aspen Plus," Renewable Energy, Elsevier, vol. 146(C), pages 1309-1314.
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    8. Xiang, Yanlei & Cai, Lei & Guan, Yanwen & Liu, Wenbin & Cheng, Zeyang & Liu, Zexi, 2020. "Study on the effect of gasification agents on the integrated system of biomass gasification combined cycle and oxy-fuel combustion," Energy, Elsevier, vol. 206(C).
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    Cited by:

    1. Nicoleta Ungureanu & Nicolae-Valentin Vlăduț & Sorin-Ștefan Biriș & Mariana Ionescu & Neluș-Evelin Gheorghiță, 2025. "Municipal Solid Waste Gasification: Technologies, Process Parameters, and Sustainable Valorization of By-Products in a Circular Economy," Sustainability, MDPI, vol. 17(15), pages 1-49, July.
    2. Cakar, Mislina & Insel, Mert Akin & Sadikoglu, Hasan & Yucel, Ozgun, 2026. "Multi-target deep learning models for syngas yield and exergy estimation in hybrid fixed and fluidized bed biomass-lignite gasifiers," Energy, Elsevier, vol. 342(C).

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