Fire suppression performance of water mist under diverse desmoking and ventilation conditions
Autor: | Yi Liang Shu, C.M. Shu, Chiun-Hsun Chen, Wei-Ting Chen, Wei Yi Liu |
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Rok vydání: | 2020 |
Předmět: |
Smoke
021110 strategic defence & security studies Environmental Engineering General Chemical Engineering 0211 other engineering and technologies Environmental engineering Mist 02 engineering and technology 010501 environmental sciences Combustion 01 natural sciences law.invention law Fire suppression system Fire protection Ventilation (architecture) Environmental Chemistry Environmental science Safety Risk Reliability and Quality 0105 earth and related environmental sciences |
Zdroj: | Process Safety and Environmental Protection. 133:230-242 |
ISSN: | 0957-5820 |
DOI: | 10.1016/j.psep.2019.10.019 |
Popis: | This paper described full-scale tests of water mist fire suppression system under forced desmoking conditions. Pool fire was effectively suppressed in 25.0 and 37.0 s for 1,500.0 (test 1) and 3,000.0 (test 2) mL of oil with no ventilation, respectively. Moreover, under ventilation rates of 50.0 and 75.0 m3/min, the suppression time were lengthened to 54.0 s (test 1) and 202.0 s (test 2), and 102.0 s (test 1) and 222.0 s (test 2), correspondingly. However, the smoke exhaust had a strong effect on the water mist to result in fire could not extinguish, when the ventilation rate increased to 120.0 m3/min. The temperature distribution during the early period in the scenario of no ventilation has a higher magnitude than those scenarios of 50.0, 75.0, and 120.0 m3/min, because combustion proceeds smoothly to result in temperature increased rapidly at no ventilation. Furthermore, similar results presented in smoke concentration distribution at four scenarios (0, 50.0, 75.0, and 120.0 m3/min), and combustion occurred steadily at no ventilation to result in more smoke during the early period. This study employed a computer modeling to verify water mist system in a compartment space and determine how the water mist system could be optimized. |
Databáze: | OpenAIRE |
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