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Using an Eulerian-granular 2-D multiphase CFD model to simulate oxygen air enriched gasification of agroindustrial residues

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  • Couto, Nuno
  • Silva, Valter
  • Monteiro, Eliseu
  • Brito, Paulo
  • Rouboa, Abel

Abstract

A 2-D numerical model based on the Computational Fluid Dynamic (CFD) framework was developed to investigate the influence of oxygen-enriched air on a biomass gasification process. Both gas and solid phases were described using and Eulerian–Eulerian approach exchanging mass, energy and momentum. The kinetic theory of granular flow was used to evaluate the constitutive properties of the dispersed phase and the gas phase behavior was simulated employing the k–ε turbulent model. Three experimental runs were performed in order to validate the model. Good agreement was shown between experimental and numerical results. The numerical model also predicted the influence of the oxygen content on the gasification temperature, steam to biomass ratio and on the final syngas composition. It can be observed that the hydrogen and nitrogen molar fractions decrease as a function of the oxygen content and that the carbon dioxide shows the opposite trend. On the other hand, there is only a slight increase of the methane molar fraction. Finally, the effects of both oxygen content and steam to biomass ratio on the cold gas efficiency were studied. It was verified that the cold gas efficiency increases with the oxygen content and decreases slightly with the steam to biomass ratio.

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  • Couto, Nuno & Silva, Valter & Monteiro, Eliseu & Brito, Paulo & Rouboa, Abel, 2015. "Using an Eulerian-granular 2-D multiphase CFD model to simulate oxygen air enriched gasification of agroindustrial residues," Renewable Energy, Elsevier, vol. 77(C), pages 174-181.
    • Handle: RePEc:eee:renene:v:77:y:2015:i:c:p:174-181
    DOI: 10.1016/j.renene.2014.11.089
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    1. Kirkels, Arjan F. & Verbong, Geert P.J., 2011. "Biomass gasification: Still promising? A 30-year global overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 471-481, January.
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    1. Ismail, Tamer M. & Ramos, Ana & Monteiro, Eliseu & El-Salam, M. Abd & Rouboa, Abel, 2020. "Parametric studies in the gasification agent and fluidization velocity during oxygen-enriched gasification of biomass in a pilot-scale fluidized bed: Experimental and numerical assessment," Renewable Energy, Elsevier, vol. 147(P1), pages 2429-2439.
    2. Ramos, Ana & Monteiro, Eliseu & Rouboa, Abel, 2019. "Numerical approaches and comprehensive models for gasification process: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 188-206.
    3. Couto, Nuno Dinis & Silva, Valter Bruno & Monteiro, Eliseu & Rouboa, Abel, 2015. "Assessment of municipal solid wastes gasification in a semi-industrial gasifier using syngas quality indices," Energy, Elsevier, vol. 93(P1), pages 864-873.
    4. Yang, Shiliang & Wang, Hua & Wei, Yonggang & Hu, Jianhang & Chew, Jia Wei, 2019. "Eulerian-Lagrangian simulation of air-steam biomass gasification in a three-dimensional bubbling fluidized gasifier," Energy, Elsevier, vol. 181(C), pages 1075-1093.
    5. Cardoso, J. & Silva, V. & Eusébio, D. & Brito, P. & Hall, M.J. & Tarelho, L., 2018. "Comparative scaling analysis of two different sized pilot-scale fluidized bed reactors operating with biomass substrates," Energy, Elsevier, vol. 151(C), pages 520-535.
    6. Ullah, Atta & Hong, Kun & Gao, Yanan & Gungor, Afsin & Zaman, Muhammad, 2019. "An overview of Eulerian CFD modeling and simulation of non-spherical biomass particles," Renewable Energy, Elsevier, vol. 141(C), pages 1054-1066.
    7. Gupta, Saurabh & Choudhary, Shikhar & Kumar, Suraj & De, Santanu, 2021. "Large eddy simulation of biomass gasification in a bubbling fluidized bed based on the multiphase particle-in-cell method," Renewable Energy, Elsevier, vol. 163(C), pages 1455-1466.
    8. Monteiro, Eliseu & Ismail, Tamer M. & Ramos, Ana & Abd El-Salam, M. & Brito, Paulo & Rouboa, Abel, 2018. "Experimental and modeling studies of Portuguese peach stone gasification on an autothermal bubbling fluidized bed pilot plant," Energy, Elsevier, vol. 142(C), pages 862-877.
    9. Askaripour, Hossein, 2020. "CFD modeling of gasification process in tapered fluidized bed gasifier," Energy, Elsevier, vol. 191(C).
    10. Ramos, Ana & Rouboa, Abel, 2020. "Syngas production strategies from biomass gasification: Numerical studies for operational conditions and quality indexes," Renewable Energy, Elsevier, vol. 155(C), pages 1211-1221.
    11. Xing, Jiangkuan & Wang, Haiou & Luo, Kun & Wang, Shuai & Bai, Yun & Fan, Jianren, 2019. "Predictive single-step kinetic model of biomass devolatilization for CFD applications: A comparison study of empirical correlations (EC), artificial neural networks (ANN) and random forest (RF)," Renewable Energy, Elsevier, vol. 136(C), pages 104-114.
    12. Salem, Ahmed M. & Elsherbiny, Khaled, 2022. "Innovative concept for the effect of changing gasifying medium and injection points on syngas quality: Towards higher H2 production, and Free-CO2 emissions," Energy, Elsevier, vol. 261(PB).
    13. Cardoso, João & Silva, Valter & Eusébio, Daniela & Brito, Paulo & Boloy, Ronney Mancebo & Tarelho, Luís & Silveira, José Luz, 2019. "Comparative 2D and 3D analysis on the hydrodynamics behaviour during biomass gasification in a pilot-scale fluidized bed reactor," Renewable Energy, Elsevier, vol. 131(C), pages 713-729.
    14. Ramos, Ana & Monteiro, Eliseu & Silva, Valter & Rouboa, Abel, 2018. "Co-gasification and recent developments on waste-to-energy conversion: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 380-398.
    15. João Cardoso & Valter Silva & Daniela Eusébio & Paulo Brito, 2017. "Hydrodynamic Modelling of Municipal Solid Waste Residues in a Pilot Scale Fluidized Bed Reactor," Energies, MDPI, vol. 10(11), pages 1-20, November.
    16. Gao, Xiaoyan & Xu, Fei & Bao, Fubing & Tu, Chengxu & Zhang, Yaning & Wang, Yingying & Yang, Yang & Li, Bingxi, 2019. "Simulation and optimization of rice husk gasification using intrinsic reaction rate based CFD model," Renewable Energy, Elsevier, vol. 139(C), pages 611-620.

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