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Application of computational fluid dynamics for modeling of Fischer-Tropsch synthesis as a sustainable energy resource in different reactor configurations: A review

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  • Teimouri, Zahra
  • Borugadda, Venu Babu
  • Dalai, Ajay K.
  • Abatzoglou, Nicolas

Abstract

Increasing the global energy demand motivates the search for renewable and clean energy resources. Fischer-Tropsch synthesis (FTS) is one of these sources, which converts syngas (a mixture of CO and H2) to a wide range of hydrocarbons . Liquid transportation fuels produced via FTS from biomass-derived syngas introduce an attractive, clean, carbon-neutral, and sustainable energy source. Reactor and catalyst designs play a significant role in the improvement of FTS efficiency. Flow hydrodynamics coupled with reaction kinetics makes this process challenging. Numerical methods such as computational fluid dynamics (CFD) can help us effectively understand the fluid dynamics within FT reactor. The main objective of CFD simulation for FTS can be summarized in three points (1) to analyze the conservation laws (mass, heat, and momentum transport) coupled with the catalytic reactions in the reactor, (2) to optimize the operating conditions to maximize the catalytic activity and selectivity to desired products, and (3) to support the reactor design and engineering. A CFD code consists of four steps: geometry generation, meshing, solver, and post-processing. Emerging data-driven techniques were also reviewed in this work to analyze the fluid dynamics of FTS. FTS is mainly operated in fixed bed, slurry bubble column, fluidized bed, micro-structured, and membrane reactors. This review aims to analyze the capability of CFD simulation in predicting the FTS performance in different reactor types and address the present challenges.

Suggested Citation

  • Teimouri, Zahra & Borugadda, Venu Babu & Dalai, Ajay K. & Abatzoglou, Nicolas, 2022. "Application of computational fluid dynamics for modeling of Fischer-Tropsch synthesis as a sustainable energy resource in different reactor configurations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    • Handle: RePEc:eee:rensus:v:160:y:2022:i:c:s1364032122002064
    DOI: 10.1016/j.rser.2022.112287
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    References listed on IDEAS

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    1. Damartzis, T. & Zabaniotou, A., 2011. "Thermochemical conversion of biomass to second generation biofuels through integrated process design--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 366-378, January.
    2. Ail, Snehesh Shivananda & Dasappa, S., 2016. "Biomass to liquid transportation fuel via Fischer Tropsch synthesis – Technology review and current scenario," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 267-286.
    3. Swain, Pravat K. & Das, L.M. & Naik, S.N., 2011. "Biomass to liquid: A prospective challenge to research and development in 21st century," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4917-4933.
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    Cited by:

    1. Teimouri, Zahra & Abatzoglou, Nicolas & Dalai, Ajay K., 2023. "Design of a renewable catalyst support derived from biomass with optimized textural features for fischer tropsch synthesis," Renewable Energy, Elsevier, vol. 202(C), pages 1096-1109.
    2. Verma, Shivpal & Dregulo, Andrei Mikhailovich & Kumar, Vinay & Bhargava, Preeti Chaturvedi & Khan, Nawaz & Singh, Anuradha & Sun, Xinwei & Sindhu, Raveendran & Binod, Parameswaran & Zhang, Zengqiang &, 2023. "Reaction engineering during biomass gasification and conversion to energy," Energy, Elsevier, vol. 266(C).
    3. Seyed Mohammad Shojaei & Reihaneh Aghamolaei & Mohammad Reza Ghaani, 2024. "Recent Advancements in Applying Machine Learning in Power-to-X Processes: A Literature Review," Sustainability, MDPI, vol. 16(21), pages 1-41, November.

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