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Engineering bed models for solid fuel conversion process in grate-fired boilers

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  • Costa, M.
  • Massarotti, N.
  • Indrizzi, V.
  • Rajh, B.
  • Yin, C.
  • Samec, N.

Abstract

A comparison between two numerical models describing the thermo-chemical conversion process of a solid fuel bed in a grate-fired boiler is presented. Both models consider the incoming biomass as subjected to drying, pyrolysis, gasification and combustion. In the first approach the biomass bed is treated as a 0D system, where the thermo-chemical processes are divided in two successive sections: drying and conversion. Phenomenological laws are written to characterize the syngas release as a function of the main governing parameters. The second model is an empirical 1D approach. Temperature, species concentrations and velocity of the syngas provided by the two models are compared. Sensitivity analyses with respect to the drying agent mass flow rate, the initial moisture content and the composition of the biomass are performed. The relative error between the mean values of the temperature and velocity of the syngas predicted by the two models is equal to about 7%. The application to different types of biomass shows that the difference in the predictions increases as the carbon content grows. The phenomenological model, in fact, generally considers higher conversion rates of this element to volatiles with respect to the analogy model.

Suggested Citation

  • Costa, M. & Massarotti, N. & Indrizzi, V. & Rajh, B. & Yin, C. & Samec, N., 2014. "Engineering bed models for solid fuel conversion process in grate-fired boilers," Energy, Elsevier, vol. 77(C), pages 244-253.
    • Handle: RePEc:eee:energy:v:77:y:2014:i:c:p:244-253
    DOI: 10.1016/j.energy.2014.07.067
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    References listed on IDEAS

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    1. Garbacz, Przemysław & Wejkowski, Robert, 2020. "Numerical research on the SNCR method in a grate boiler equipped with the innovative FJBS system," Energy, Elsevier, vol. 207(C).
    2. Halil Akbaş & Gültekin Özdemir, 2020. "An Integrated Prediction and Optimization Model of a Thermal Energy Production System in a Factory Producing Furniture Components," Energies, MDPI, vol. 13(22), pages 1-29, November.
    3. Tu, Yaojie & Zhou, Anqi & Xu, Mingchen & Yang, Wenming & Siah, Keng Boon & Subbaiah, Prabakaran, 2018. "NOX reduction in a 40 t/h biomass fired grate boiler using internal flue gas recirculation technology," Applied Energy, Elsevier, vol. 220(C), pages 962-973.
    4. Tanui, J.K. & Kioni, P.N. & Mirre, T. & Nowitzki, M. & Karuri, N.W., 2020. "The influence of particle packing density on wood combustion in a fixed bed under oxy-fuel conditions," Energy, Elsevier, vol. 194(C).
    5. Luigi F. Polonini & Domenico Petrocelli & Simone P. Parmigiani & Adriano M. Lezzi, 2019. "Influence on CO and PM Emissions of an Innovative Burner Pot for Pellet Stoves: An Experimental Study," Energies, MDPI, vol. 12(4), pages 1-13, February.
    6. Costa, Michela & Curcio, Christian & Piazzullo, Daniele & Rocco, Vittorio & Tuccillo, Raffaele, 2018. "RDF incineration modelling trough thermo-chemical conversion and gaseous combustion coupling," Energy, Elsevier, vol. 161(C), pages 974-987.
    7. Zadravec, Tomas & Yin, Chungen & Kokalj, Filip & Samec, Niko & Rajh, Boštjan, 2020. "The impacts of different profiles of the grate inlet conditions on freeboard CFD in a waste wood-fired grate boiler," Applied Energy, Elsevier, vol. 268(C).
    8. Xia, Zihong & Long, Jisheng & Yan, Shuai & Bai, Li & Du, Hailiang & Chen, Caixia, 2021. "Two-fluid simulation of moving grate waste incinerator: Comparison of 2D and 3D bed models," Energy, Elsevier, vol. 216(C).

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