Experimental Validation of Reference Energy Densities for the Fire Hazard Classification of Warehouse Commodities

Warehouse fires can cause severe human and property losses due to rapid fire growth and high fuel loads, necessitating systematic risk assessments based on the heat-release characteristics of stored commodities. However, the wide variation in storage environments and commodity types limits the applicability of quantitative evaluations based solely on heat release rate data. To address this challenge, a fire-risk classification system based on fire-load density is proposed, incorporating statistically representative heat of combustion and bulk-density values. In this study, the reference energy density for each classification was updated using fire-test results for 35 commodity types selected according to the KAN product classification code, reflecting items commonly stored in warehouses. A relative-error analysis of the existing reference energy density values revealed a maximum deviation of 19%.

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Publication Details

Journal
Fire Science and Engineering
Published
2025-12-26
DOI
https://doi.org/10.7731/kifse.e04c0ec9
Primary Topic
Fire dynamics and safety research
Type
article
Field-Weighted Citation Impact
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article

Experimental Validation of Reference Energy Densities for the Fire Hazard Classification of Warehouse Commodities

Cheol-Hong Hwang, Ho-Sik Han, Oh-Soo Kwon, Jae-Ho Jo
Fire Science and Engineering
Fire dynamics and safety research
article

Experimental Validation of Reference Energy Densities for the Fire Hazard Classification of Warehouse Commodities

Cheol-Hong Hwang, Ho-Sik Han, Oh-Soo Kwon, Jae-Ho Jo
article en

Abstract

Warehouse fires can cause severe human and property losses due to rapid fire growth and high fuel loads, necessitating systematic risk assessments based on the heat-release characteristics of stored commodities. However, the wide variation in storage environments and commodity types limits the applicability of quantitative evaluations based solely on heat release rate data. To address this challenge, a fire-risk classification system based on fire-load density is proposed, incorporating statistically representative heat of combustion and bulk-density values. In this study, the reference energy density for each classification was updated using fire-test results for 35 commodity types selected according to the KAN product classification code, reflecting items commonly stored in warehouses. A relative-error analysis of the existing reference energy density values revealed a maximum deviation of 19%.

Fire Science and EngineeringVol. 39(6)
Affordable and clean energy
Openalex Percentile: Top 36%
Fire dynamics and safety research
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