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Empirical and chemical equilibrium modelling for prediction of biomass gasification products in bubbling fluidized beds

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  • Pio, D.T.
  • Tarelho, L.A.C.

Abstract

In this work, two approaches to predict the producer gas composition obtained by direct (air) biomass gasification in bubbling fluidized beds were developed and compared, namely empirical modelling based on reported experimental results in the literature and non-stoichiometric chemical equilibrium modelling. For this purpose, an extensive database containing a set of 19 published experimental results from the literature was compiled and a non-stoichiometric chemical equilibrium model developed.

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  • Pio, D.T. & Tarelho, L.A.C., 2020. "Empirical and chemical equilibrium modelling for prediction of biomass gasification products in bubbling fluidized beds," Energy, Elsevier, vol. 202(C).
  • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s0360544220307611
    DOI: 10.1016/j.energy.2020.117654
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    References listed on IDEAS

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    3. Copa Rey, José Ramón & Tamayo Pacheco, Jorge Jadid & António da Cruz Tarelho, Luís & Silva, Valter & Cardoso, João Sousa & Silveira, José Luz & Tuna, Celso Eduardo, 2021. "Evaluation of cogeneration alternative systems integrating biomass gasification applied to a Brazilian sugar industry," Renewable Energy, Elsevier, vol. 178(C), pages 318-333.
    4. Pio, D.T. & Tarelho, L.A.C., 2021. "Industrial gasification systems (>3 MWth) for bioenergy in Europe: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Pio, D.T. & Tarelho, L.A.C. & Pinto, P.C.R., 2020. "Gasification-based biorefinery integration in the pulp and paper industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    6. Kim, Jun Young & Shin, Ui Hyeon & Kim, Kwangsu, 2023. "Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory," Energy, Elsevier, vol. 280(C).
    7. Vikram, Shruti & Rosha, Pali & Kumar, Sandeep & Mahajani, Sanjay, 2022. "Thermodynamic analysis and parametric optimization of steam-CO2 based biomass gasification system using Aspen PLUS," Energy, Elsevier, vol. 241(C).
    8. Yang, Shiliang & Liang, Jin & Wang, Shuai & Wang, Hua, 2021. "High-fidelity investigation of thermochemical conversion of biomass material in a full-loop circulating fluidized bed gasifier," Energy, Elsevier, vol. 224(C).
    9. Chen, Guan-Bang & Wu, Fang-Hsien & Lin, Sheng-Pin & Hsu, Yun-Ting & Lin, Ta-Hui, 2022. "A study of sewage sludge Co-gasification with waste shiitake substrate," Energy, Elsevier, vol. 259(C).
    10. Pio, D.T. & Gomes, H.G.M.F. & Tarelho, L.A.C. & Vilas-Boas, A.C.M. & Matos, M.A.A. & Lemos, F.M.S., 2022. "Superheated steam injection as primary measure to improve producer gas quality from biomass air gasification in an autothermal pilot-scale gasifier," Renewable Energy, Elsevier, vol. 181(C), pages 1223-1236.
    11. Helena G. M. F. Gomes & Manuel A. A. Matos & Luís A. C. Tarelho, 2023. "Influence of Oxygen/Steam Addition on the Quality of Producer Gas during Direct (Air) Gasification of Residual Forest Biomass," Energies, MDPI, vol. 16(5), pages 1-20, March.
    12. Ruivo, Luís & Silva, Tiago & Neves, Daniel & Tarelho, Luís & Frade, Jorge, 2023. "Thermodynamic guidelines for improved operation of iron-based catalysts in gasification of biomass," Energy, Elsevier, vol. 268(C).

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