Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.783438
Title: An investigation into the treatment and modelling of Municipal Solid Waste Incineration (MSWI) Air Pollution Control (APC) residues
Author: Khalid, M.
Awarding Body: University of East London
Current Institution: University of East London
Date of Award: 2019
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Abstract:
Air Pollution Control (APC) residues from Municipal Solid Waste Incineration (MSWI) is considered a problematic hazardous waste, with no current viable reuse, within the UK. Therefore, it is often treated before being deposited into a landfill. This research explores a number of novel techniques to mitigate the hazardous properties of this waste by investigating thermal treatment and cold bonding. Thermal treatment was investigated to manufacture inert Light Weight Aggregate (LWA) by sintering APC residues with clay. The addition of 20% APC residue produced the highest fracture strength of 5.78MPa. Treatment through cold bonding was achieved using the geopolymerisation process. The developed material achieved a compressive strength of approximately 2.35 MPa. The data from the APC residues based geopolymer experimentation was used to develop a machine learning model to predict the compressive strength of the geopolymer. In addition, it was observed through a comprehensive literature review, that complexities arising due to significant variations in the composition of the residue, makes it very difficult to produce a commercially stable product. Therefore, the research tackles this problem by developing an Artificial Neural Network (ANN) model to identify and classify different types of residues/ashes based on their chemical composition as determined by X-ray Fluorescence (XRF) spectroscopy. Overall this research showed that machine learning could be very beneficial to this field to determine the capabilities for various reuse applications for ash waste.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.783438  DOI:
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