LAPSE:2023.1323
Published Article

LAPSE:2023.1323
Dust Explosion Risk Assessment for Dry Dust Collector Based on AHP-Fuzzy Comprehensive Evaluation
February 21, 2023
Abstract
Dry dust collectors are a typical dust and gas coexistence space. Dust explosion risk assessments should be performed for effective prevention and control of dust explosion accidents. In this paper, a dust explosion risk assessment index system for dust removal systems was constructed following the dust characteristics and the actual operation of a dry dust collector. The proposed system consisted of three first-level indexes (dust explosion characteristic parameters, environmental parameters in the dust collector box, use state of explosion prevention and control device) and seven second-level indexes (dust explosion sensitivity, dust explosion severity, temperature in the dust collector box, pressure difference between inlet and outlet, operating state of spark detection, operating the explosion venting disc, and operating state of the lock gas ash discharge valve). The analytic hierarchy process was adapted to calculate the weight of each index. Additionally, a dust explosion risk assessment model for the dust removal system was constructed using the fuzzy comprehensive evaluation method to form a set of dust explosion risk assessment methods suitable for dry dust collectors. The risk of explosion was assessed at level II through the use of paper powder with a particle size of 75 μm, which means this method is reliable.
Dry dust collectors are a typical dust and gas coexistence space. Dust explosion risk assessments should be performed for effective prevention and control of dust explosion accidents. In this paper, a dust explosion risk assessment index system for dust removal systems was constructed following the dust characteristics and the actual operation of a dry dust collector. The proposed system consisted of three first-level indexes (dust explosion characteristic parameters, environmental parameters in the dust collector box, use state of explosion prevention and control device) and seven second-level indexes (dust explosion sensitivity, dust explosion severity, temperature in the dust collector box, pressure difference between inlet and outlet, operating state of spark detection, operating the explosion venting disc, and operating state of the lock gas ash discharge valve). The analytic hierarchy process was adapted to calculate the weight of each index. Additionally, a dust explosion risk assessment model for the dust removal system was constructed using the fuzzy comprehensive evaluation method to form a set of dust explosion risk assessment methods suitable for dry dust collectors. The risk of explosion was assessed at level II through the use of paper powder with a particle size of 75 μm, which means this method is reliable.
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Keywords
analytic hierarchy process, dry dust collector, dust explosion, fuzzy comprehensive evaluation
Suggested Citation
Sun S, Mao T, Lv P, Pang L. Dust Explosion Risk Assessment for Dry Dust Collector Based on AHP-Fuzzy Comprehensive Evaluation. (2023). LAPSE:2023.1323
Author Affiliations
Sun S: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China; Beijing Academy of Safety Engineering and Technology, Beijing 102617, China [ORCID]
Mao T: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Lv P: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Pang L: Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing 100083, China
Mao T: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Lv P: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
Pang L: Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing 100083, China
Journal Name
Processes
Volume
10
Issue
12
First Page
2616
Year
2022
Publication Date
2022-12-06
ISSN
2227-9717
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Original Submission
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PII: pr10122616, Publication Type: Journal Article
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LAPSE:2023.1323
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https://doi.org/10.3390/pr10122616
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Feb 21, 2023
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