The influence of particle packing density on wood combustion in a fixed bed under oxy-fuel conditions
J.K. Tanui,
P.N. Kioni,
T. Mirre,
M. Nowitzki and
N.W. Karuri
Energy, 2020, vol. 194, issue C
Abstract:
Presented in this paper is a study of the influence of particle packing density on fixed bed combustion of wood in an oxy-fuel burning environment. The packing density, which determines the region porosity, is influenced by fuels’ geometry. Size and shape were determined directly from fuel particles and used to evaluate the particle sphericity which is an input in the computational model. Euler-Lagrange method was used to model conversion of wood in a fixed bed. The computational model was validated by performing experiments in a fixed bed using wood of different shapes and sizes which formed a wide range of bed porosity. It was established that the packing density affects combustion process by changing the burning conditions and flammability limits. The combustion condition is shifted from fuel-rich to fuel-lean side as bed porosity is increased. Consequently, the flame front propagation speed and conversion rates increase while the ignition time reduces. The operational range with respect to porosity was decreased in an oxy-fuel burning condition due to higher quenching effects of CO2. Furthermore, the study revealed that there is an optimum packing density, χ = 0.71, beyond which the efficiency falls due to the onset of quenching in the spaces.
Keywords: Oxy-fuel combustion; Bed porosity; Packing density; Wood combustion; Fixed bed (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219325587
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:194:y:2020:i:c:s0360544219325587
DOI: 10.1016/j.energy.2019.116863
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().