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Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads

STARx (Self-sustaining Treatment for Active Remediation ex situ) is a thermal treatment strategy for contaminated soils and organic wastes. Key to this technology is that organics are embedded in porous matrix beds (e.g. sand). STARx induces a self-sustaining smouldering combustion front that traver...

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Autores principales: Morales, Ryan B, DeGroot, Christopher T, Scholes, Grant C, Gerhard, Jason I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393652/
https://www.ncbi.nlm.nih.gov/pubmed/35311419
http://dx.doi.org/10.1177/0734242X221076308
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author Morales, Ryan B
DeGroot, Christopher T
Scholes, Grant C
Gerhard, Jason I
author_facet Morales, Ryan B
DeGroot, Christopher T
Scholes, Grant C
Gerhard, Jason I
author_sort Morales, Ryan B
collection PubMed
description STARx (Self-sustaining Treatment for Active Remediation ex situ) is a thermal treatment strategy for contaminated soils and organic wastes. Key to this technology is that organics are embedded in porous matrix beds (e.g. sand). STARx induces a self-sustaining smouldering combustion front that traverses the bed, burning away the embedded contaminants/wastes. The time and cost effectiveness of this technology is largely dictated by the time required for cooling of the hot, clean, porous matrix bed that remains after treatment. This study is the first to explore the cooling of these beds. A suite of novel simulations investigated the influence of key parameters on bed-cooling time. The results reveal that cooling time decreased nearly linearly with decreases of volume-averaged bed temperature and bed bulk density. Increased injection air fluxes led to the non-linear decrease of cooling time. Also, cooling time was negatively impacted by bed temperature inhomogeneity, which influenced preferential air flow through cooler regions of the bed, bypassing hotter regions. From these results, using lower bulk density bed materials, increased air fluxes and enhancing wall insulation to improve bed temperature homogeneity were identified as system optimisations to reduce cooling times. While the aim of this research is to improve the STARx cooling process, the results are also highly applicable to many similar engineering systems that involve hot porous bed cooling.
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spelling pubmed-93936522022-08-23 Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads Morales, Ryan B DeGroot, Christopher T Scholes, Grant C Gerhard, Jason I Waste Manag Res Original Articles STARx (Self-sustaining Treatment for Active Remediation ex situ) is a thermal treatment strategy for contaminated soils and organic wastes. Key to this technology is that organics are embedded in porous matrix beds (e.g. sand). STARx induces a self-sustaining smouldering combustion front that traverses the bed, burning away the embedded contaminants/wastes. The time and cost effectiveness of this technology is largely dictated by the time required for cooling of the hot, clean, porous matrix bed that remains after treatment. This study is the first to explore the cooling of these beds. A suite of novel simulations investigated the influence of key parameters on bed-cooling time. The results reveal that cooling time decreased nearly linearly with decreases of volume-averaged bed temperature and bed bulk density. Increased injection air fluxes led to the non-linear decrease of cooling time. Also, cooling time was negatively impacted by bed temperature inhomogeneity, which influenced preferential air flow through cooler regions of the bed, bypassing hotter regions. From these results, using lower bulk density bed materials, increased air fluxes and enhancing wall insulation to improve bed temperature homogeneity were identified as system optimisations to reduce cooling times. While the aim of this research is to improve the STARx cooling process, the results are also highly applicable to many similar engineering systems that involve hot porous bed cooling. SAGE Publications 2022-03-21 2022-09 /pmc/articles/PMC9393652/ /pubmed/35311419 http://dx.doi.org/10.1177/0734242X221076308 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Morales, Ryan B
DeGroot, Christopher T
Scholes, Grant C
Gerhard, Jason I
Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads
title Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads
title_full Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads
title_fullStr Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads
title_full_unstemmed Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads
title_short Understanding, controlling and optimising the cooling of waste thermal treatment beds including STARx Hottpads
title_sort understanding, controlling and optimising the cooling of waste thermal treatment beds including starx hottpads
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393652/
https://www.ncbi.nlm.nih.gov/pubmed/35311419
http://dx.doi.org/10.1177/0734242X221076308
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