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Visual Fire Power: An Algorithm for Measuring Heat Release Rate of Visible Flames in Camera Footage, with Applications in Facade Fire Experiments

Authors :
Matthew Bonner
Wojciech Węgrzyński
Guillermo Rein
Source :
Fire Technology. 59:191-215
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

This paper presents a novel algorithm, called Visual Fire Power, for measuring the heat release rate of a turbulent flame using video footage taken from two cameras, located at an approximate right angle to each other and at a known distance from the fire. By measuring the time-averaged volume of the fire, Visual Fire Power can measure heat release rate in situations where traditional calorimetry may be impractical (such as experiments outdoors), as well as uniquely providing a method for comparing the heat release rates of different flames in the same experiment, e.g. externally venting flames from different windows of the same compartment. The algorithm was benchmarked against synthetic data and calculated the volume of common solids with approximately 30% uncertainty. The relationship between volume and heat release rate was then calibrated from videos of burners at known heat release rates. These experiments were used to calculate the Orloff-DeRis constant $$\gamma$$ γ , which linearly relates flame volume and heat release rate. The value for $$\gamma$$ γ was found to be $$1505\pm 183$$ 1505 ± 183 kW/m3. The algorithm was demonstrated on recordings of a standard Polish facade fire test. Improving the range of data measured in both fire testing and fire experiments could help to increase our knowledge of fire dynamics and provide better data for researchers and engineers in the future.

Details

ISSN :
15728099 and 00152684
Volume :
59
Database :
OpenAIRE
Journal :
Fire Technology
Accession number :
edsair.doi...........4a42d3291fef08761760e8950df3e6b4
Full Text :
https://doi.org/10.1007/s10694-022-01341-z