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Consequence analysis of derivative accidents due to reaction runaway
- Source :
- Journal of Loss Prevention in the Process Industries, Journal of Loss Prevention in the Process Industries, Elsevier, 2018, 55, pp.471-479. ⟨10.1016/j.jlp.2018.07.017⟩
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Different kinds of derivative accidents due to reaction runaway happen frequently. The research and the prediction of such accidents and their consequences are useful in the determination of safety distances and the establishment of emergency plan. The present paper takes into account the complex components and their dynamic change in the reactor, and proposes a new quantitative analysis method for the derivative accident consequences of reaction runaway. The so-called “simulated process for derivative accidents of reaction runaway” (SPDA-RR), based on the logic diagram of accident judgement, relies on Aspen Plus to describe the process simulation. The hazard analysis of such accidents involves many mathematical models for overpressure explosion, fireball, vapor cloud explosion, harmful gas dispersion, etc. The governing parameters of the mixture used in the mathematical models, such as the component content, temperature, pressure, enthalpy and entropy, can be obtained from SPDA-RR. Furthermore, in order to analyze other cases of reaction runaway, this SPDA-RR can be easily extended by an adequate parameter adjustment.
- Subjects :
- 021110 strategic, defence & security studies
Mathematical model
Computer science
General Chemical Engineering
0211 other engineering and technologies
Energy Engineering and Power Technology
Emergency plan
02 engineering and technology
Mechanics
Management Science and Operations Research
Hazard analysis
Vapor cloud
Industrial and Manufacturing Engineering
Overpressure
[SPI]Engineering Sciences [physics]
020401 chemical engineering
13. Climate action
Control and Systems Engineering
Entropy (information theory)
0204 chemical engineering
Consequence analysis
Process simulation
Safety, Risk, Reliability and Quality
ComputingMilieux_MISCELLANEOUS
Food Science
Subjects
Details
- ISSN :
- 09504230
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- Journal of Loss Prevention in the Process Industries
- Accession number :
- edsair.doi.dedup.....e10b1b1bea19d64eeeb3bc0a0045a8b9