Citation

BibTex format

@article{Huang:2015:10.1016/j.proci.2014.05.048,
author = {Huang, X and Rein, G and Chen, H},
doi = {10.1016/j.proci.2014.05.048},
journal = {Proceedings of the Combustion Institute},
pages = {2673--2681},
title = {Computational smoldering combustion: Predicting the roles of moisture and inert contents in peat wildfires},
url = {http://dx.doi.org/10.1016/j.proci.2014.05.048},
volume = {35},
year = {2015}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Abstract Smoldering combustion is the slow, low-temperature, flameless burning of porous fuels and the most persistent type of combustion. It is the driving phenomenon of wildfires in peatlands, like those causing haze episodes in Southeast Asia and Northeast Europe, but is poorly understood. In this work, we develop a comprehensive 1-D model of a reactive porous media, using the open-source code Gpyro, to investigate smoldering combustion of natural fuels with an emphasis on the roles of the moisture and inert contents. The model solves the species, momentum, and energy conservation equations and includes heterogeneous chemical reactions. A previously developed 5-step reaction scheme for peat, including evaporation of water, is adopted to describe the drying, thermal and oxidative degradation during the smoldering combustion. The model predicts the transient temperature, species, and reaction profiles during ignition, spread, and extinction. The predicted smoldering thresholds related to the critical moisture and inorganic contents for ignition show a good agreement with the experimental results in the literature for a wide range of peat types and organic soils. The influences of the kinetic parameters, physical properties, and ignition protocol are investigated. This is the first time that a physics-based model of smoldering peat fires is developed, thus helping to understand this important natural and widespread phenomenon.
AU - Huang,X
AU - Rein,G
AU - Chen,H
DO - 10.1016/j.proci.2014.05.048
EP - 2681
PY - 2015///
SN - 0082-0784
SP - 2673
TI - Computational smoldering combustion: Predicting the roles of moisture and inert contents in peat wildfires
T2 - Proceedings of the Combustion Institute
UR - http://dx.doi.org/10.1016/j.proci.2014.05.048
UR - http://www.sciencedirect.com/science/article/pii/S1540748914000510
VL - 35
ER -

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