Understanding pressure changes in smouldering thermal porous media reactors

Zanoni, Marco A.B.; Wang, Jiahao; Gerhard, Jason I.

doi:10.1016/j.cej.2021.128642

Cited by 29 publications

(21 citation statements)

References 58 publications

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“…Figure 4 shows that flow divergences due to non-uniform air flux lowered the effective axial convection along the reactor centreline. This is because the centreline was the hottest region in the reactor and had the greatest resistance to flow (with the highest air densities and lowest air viscosities) (Lutsenko, 2018;Rashwan et al, 2021a;Zanoni et al, 2021). This is shown by comparing the black and grey curves in Fig.…”

Section: Experimental Results Highlighting the Effects Of Perimeter H...mentioning

confidence: 97%

Scaling up self-sustained smouldering of sewage sludge for waste-to-energy

et al. 2021

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Section: Experimental Results Highlighting the Effects Of Perimeter H...mentioning

confidence: 97%

Scaling up self-sustained smouldering of sewage sludge for waste-to-energy

et al. 2021

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“…Bed temperature inhomogeneity has been investigated relative to its role in smouldering reaction dynamics. Namely, its influence on injected air flow rates ( Levin and Lutsenko, 2006 , 2008 ), non-uniform air flux ( Rashwan et al, 2021c ), pressure changes within smouldering reactors ( Zanoni et al, 2021 ) and reaction front instability ( Chen et al., 2018 ; Rabinovich et al, 2016 ). Relatedly, the results of this work provide the first investigation into how bed temperature inhomogeneities derived during the smouldering phase can have ramifications for the cooling phase.…”

Section: Resultsmentioning

confidence: 99%

“…This thermally induced air channelling occurred due to spatial and temporal variations in pneumatic conductivity ( K p ). K p refers to the ease at which air can flow through a porous bed (Zanoni et al, 2021):…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2022

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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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“…Experimental measurements included: temperature histories with thermocouples (TCs), emissions (CO, CO 2 , total hydrocarbons, CH 4 , H 2 , and O 2 ), and continuous mass loss. All experiments followed established applied smouldering experimental methods [23,24,34,49,53,56]. Though these experiments used varying setups and ignition procedures, the smouldering behaviour examined in this study was unaffected by these differences [53].…”

Section: Methodsmentioning

confidence: 99%