Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146026
Title: Solid waste incineration modelling for advanced moving grate incinerators
Authors: Jiang, Mingtao
Lai, Adrian Chun Hin
Law, Adrian Wing-Keung
Keywords: Engineering::Environmental engineering
Issue Date: 2020
Source: Jiang, M., Lai, A. C. H., & Law, A. W.-K. (2020). Solid waste incineration modelling for advanced moving grate incinerators. Sustainability, 12(19), 8007-. doi:10.3390/su12198007
Project: WTE CRP 1601 105 
Journal: Sustainability 
Abstract: Currently, the design of advanced moving grate (AMG) incinerators for solid waste is aided by computational simulations. The simulation approach couples a waste bed model to characterize the incineration processes of the waste material on top of the moving grate, with a computational fluid dynamics (CFD) model to reproduce the heated air movement and reactions in the incinerator space above. However, the simulation results of AMG incinerators are rarely compared with actual field measurements for validation in the literature so far. In this study, we first examine the sensitivity of pyrolysis kinetics in the waste bed model using three existing alternatives. The predictions of combustion characteristics, including the bed height, flow and temperature distributions, composition of stack gases and gas emissions are obtained for the three alternatives and compared with measurements from a simple laboratory furnace. The results show that the pyrolysis kinetics mechanism can significantly affect the outputs from the waste bed model for incineration modelling. Subsequently, we propose a new coupling approach based on a recent AMG waste bed model (which includes the complex pyrolysis kinetics inside the waste bed on top of the moving grate) and the freeboard CFD simulations. The new approach is then used to predict the field performance of a large scale waste-to-energy (WTE) plant and the predictions are compared directly with the real measurements in various operational scenarios. The comparison shows an overall satisfactory agreement in terms of temperature and exit gases composition given the complexity of the real life operations, although the CO emission is slightly underpredicted.
URI: https://hdl.handle.net/10356/146026
ISSN: 2071-1050
DOI: 10.3390/su12198007
Rights: © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:NEWRI Journal Articles

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