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Early detection of deep-seated smouldering fires in wood waste storage using ERT

Asim Ibrahim, Muhammad ; Afzal Butt, Nabeel LU ; Rejkjær, Simon ; Dahlin, Torleif LU ; Madsen, Dan LU orcid ; Wilkens Flecknoe-Brown, Konard LU and Günther, Thomas (2024) In Waste Management 182. p.215-224
Abstract

Incidents of waste and biofuel fires are common at all stages of the waste recycling chain and have grave implications for business, employees, firefighters, society, and environment. An early detection of waste and biofuel fires in the smouldering stage could save precious lives, resources, and our environment. Existing fire detection methodologies e.g. handheld temperature sensors, IR cameras, gas sensors, and video and satellite-based monitoring techniques have inherent limitations to efficiently detect smouldering fires. An attempt was made to explore the potential of electrical resistivity tomography (ERT) as an alternate tool to address the problem. In the experiments an externally powered resistive wire was employed to initiate... (More)

Incidents of waste and biofuel fires are common at all stages of the waste recycling chain and have grave implications for business, employees, firefighters, society, and environment. An early detection of waste and biofuel fires in the smouldering stage could save precious lives, resources, and our environment. Existing fire detection methodologies e.g. handheld temperature sensors, IR cameras, gas sensors, and video and satellite-based monitoring techniques have inherent limitations to efficiently detect smouldering fires. An attempt was made to explore the potential of electrical resistivity tomography (ERT) as an alternate tool to address the problem. In the experiments an externally powered resistive wire was employed to initiate the smouldering fire inside the test material (wood pellets, wood shavings, wood fines). Time series of ERT that followed the initiation and development of smouldering were recorded using an automated monitoring instrument setup. The actual geometry of the experimental sample container and electrode setup was integrated in the 3D finite element method (FEM) model grid to perform inverse numerical modelling (inversion) and to develop resistivity tomographic images. The study shows a sharp increase in ratio of resistivity (R/Ro ≥ 50 %) in the test material in the region of smouldering hotspot and demonstrates the potential use of ERT technique for the detection of smouldering hotspots in silos and pile storage of organic material such as wood-based fuels, wood waste, coal, municipal solid waste (MSW), recyclables etc. More research is however required for enabling the use of this technique at the practical scale for different storage conditions.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Electrical resistivity tomography, Fire detection, Fire safety, Safety in waste industry, Smouldering fire, Waste & biofuel fires, Waste fire prevention
in
Waste Management
volume
182
pages
10 pages
publisher
Elsevier
external identifiers
  • pmid:38670005
  • scopus:85191329058
ISSN
0956-053X
DOI
10.1016/j.wasman.2024.04.030
language
English
LU publication?
yes
id
09f5df70-f9b9-4577-9263-c23b0f1429d4
date added to LUP
2024-05-06 08:48:40
date last changed
2024-05-07 03:00:43
@article{09f5df70-f9b9-4577-9263-c23b0f1429d4,
  abstract     = {{<p>Incidents of waste and biofuel fires are common at all stages of the waste recycling chain and have grave implications for business, employees, firefighters, society, and environment. An early detection of waste and biofuel fires in the smouldering stage could save precious lives, resources, and our environment. Existing fire detection methodologies e.g. handheld temperature sensors, IR cameras, gas sensors, and video and satellite-based monitoring techniques have inherent limitations to efficiently detect smouldering fires. An attempt was made to explore the potential of electrical resistivity tomography (ERT) as an alternate tool to address the problem. In the experiments an externally powered resistive wire was employed to initiate the smouldering fire inside the test material (wood pellets, wood shavings, wood fines). Time series of ERT that followed the initiation and development of smouldering were recorded using an automated monitoring instrument setup. The actual geometry of the experimental sample container and electrode setup was integrated in the 3D finite element method (FEM) model grid to perform inverse numerical modelling (inversion) and to develop resistivity tomographic images. The study shows a sharp increase in ratio of resistivity (R/R<sub>o</sub> ≥ 50 %) in the test material in the region of smouldering hotspot and demonstrates the potential use of ERT technique for the detection of smouldering hotspots in silos and pile storage of organic material such as wood-based fuels, wood waste, coal, municipal solid waste (MSW), recyclables etc. More research is however required for enabling the use of this technique at the practical scale for different storage conditions.</p>}},
  author       = {{Asim Ibrahim, Muhammad and Afzal Butt, Nabeel and Rejkjær, Simon and Dahlin, Torleif and Madsen, Dan and Wilkens Flecknoe-Brown, Konard and Günther, Thomas}},
  issn         = {{0956-053X}},
  keywords     = {{Electrical resistivity tomography; Fire detection; Fire safety; Safety in waste industry; Smouldering fire; Waste & biofuel fires; Waste fire prevention}},
  language     = {{eng}},
  month        = {{06}},
  pages        = {{215--224}},
  publisher    = {{Elsevier}},
  series       = {{Waste Management}},
  title        = {{Early detection of deep-seated smouldering fires in wood waste storage using ERT}},
  url          = {{http://dx.doi.org/10.1016/j.wasman.2024.04.030}},
  doi          = {{10.1016/j.wasman.2024.04.030}},
  volume       = {{182}},
  year         = {{2024}},
}