Journal
FUEL
Volume 150, Issue -, Pages 288-297Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2015.02.014
Keywords
Smouldering; Remediation; Multiple dimensions; Modelling; Thermal severity
Categories
Funding
- Ontario Research Fund
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This study presents the development and validation of a computational model which simulates the propagation of a smouldering front through a porous medium against unique experiments in coal tar and sand. The model couples a multiphase flow solver in porous media with a perimeter expansion module based on Huygens principle to predict the spread. A suite of two-dimensional experiments using coal tar-contaminated sand were conducted to explore the time-dependent vertical and lateral smouldering front propagation rates and final extent of remediation as a function of air injection rate. A thermal severity analysis revealed, for the first time, the temperature-time relationship indicative of coal tar combustion. The model, calibrated to the base case experiment, then correctly predicts the remaining experiments. This work provides further confidence in a model for predicting smouldering, which eventually is expected to be useful for designing soil remediation schemes for a novel technology based upon smouldering destruction of organic contaminants in soil. (C) 2015 Elsevier Ltd. All rights reserved.
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