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Characterization of biomass combustion at high temperatures based on an upgraded single particle model

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  • Li, Jun
  • Paul, Manosh C.
  • Younger, Paul L.
  • Watson, Ian
  • Hossain, Mamdud
  • Welch, Stephen

Abstract

Biomass co-firing is becoming a promising solution to reduce CO2 emissions, due to its renewability and carbon neutrality. Biomass normally has high moisture and volatile contents, complicating its combustion behavior, which is significantly different from that of coal. A computational fluid dynamics (CFD) combustion model of a single biomass particle is employed to study high-temperature rapid biomass combustion. The two-competing-rate model and kinetics/diffusion model are used to model biomass devolatilization reaction and char burnout process, respectively, in which the apparent kinetics used for those two models were from high temperatures and high heating rates tests. The particle size changes during the devolatilization and char burnout are also considered. The mass loss properties and temperature profile during the biomass devolatilization and combustion processes are predicted; and the timescales of particle heating up, drying, devolatilization, and char burnout are compared and discussed. Finally, the results shed light on the effects of particle size on the combustion behavior of biomass particle.

Suggested Citation

  • Li, Jun & Paul, Manosh C. & Younger, Paul L. & Watson, Ian & Hossain, Mamdud & Welch, Stephen, 2015. "Characterization of biomass combustion at high temperatures based on an upgraded single particle model," Applied Energy, Elsevier, vol. 156(C), pages 749-755.
    • Handle: RePEc:eee:appene:v:156:y:2015:i:c:p:749-755
    DOI: 10.1016/j.apenergy.2015.04.027
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    Cited by:

    1. Roy, Dibyendu & Samanta, Samiran & Ghosh, Sudip, 2020. "Performance assessment of a biomass fuelled advanced hybrid power generation system," Renewable Energy, Elsevier, vol. 162(C), pages 639-661.
    2. Bujak, Janusz & Sitarz, Piotr & Jasiewicz, Paulina, 2018. "Fuel consumption in the thermal treatment of low-calorific industrial food processing waste," Applied Energy, Elsevier, vol. 221(C), pages 139-147.
    3. Huang, Y.W. & Chen, M.Q. & Li, Y. & Guo, J., 2016. "Modeling of chemical exergy of agricultural biomass using improved general regression neural network," Energy, Elsevier, vol. 114(C), pages 1164-1175.
    4. Chen, Hui & Wang, Jie & Zheng, Yanli & Zhan, Jiao & He, Chenliu & Wang, Qiang, 2018. "Algal biofuel production coupled bioremediation of biomass power plant wastes based on Chlorella sp. C2 cultivation," Applied Energy, Elsevier, vol. 211(C), pages 296-305.
    5. Mikulčić, Hrvoje & von Berg, Eberhard & Vujanović, Milan & Wang, Xuebin & Tan, Houzhang & Duić, Neven, 2016. "Numerical evaluation of different pulverized coal and solid recovered fuel co-firing modes inside a large-scale cement calciner," Applied Energy, Elsevier, vol. 184(C), pages 1292-1305.
    6. Gu, Tianbao & Yin, Chungen & Ma, Wenchao & Chen, Guanyi, 2019. "Municipal solid waste incineration in a packed bed: A comprehensive modeling study with experimental validation," Applied Energy, Elsevier, vol. 247(C), pages 127-139.
    7. Milićević, Aleksandar & Belošević, Srdjan & Crnomarković, Nenad & Tomanović, Ivan & Tucaković, Dragan, 2020. "Mathematical modelling and optimisation of lignite and wheat straw co-combustion in 350 MWe boiler furnace," Applied Energy, Elsevier, vol. 260(C).
    8. Jiseok Lee & Seunghan Yu & Jinje Park & Hyunbin Jo & Jongkeun Park & Changkook Ryu & Yeong-gap Jeong, 2020. "Reduction of Unburned Carbon Release and NO x Emission from a Pulverized Wood Pellet Boiler Retrofitted for Fuel Switching from Coal," Energies, MDPI, vol. 13(19), pages 1-17, September.

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