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Safety Critical Variable Analysis for Process Systems
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DOI：10.1021/acs.iecr.3c02715.png)
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Abstract
En 中文
Chemical enterprises always tend to increase production profits, which requires optimization of the production parameters. However, some optimization activities employed may cause unsafe events. A successful process requires an effective mechanism to assess operational safety. The conventional safety analysis is focused on reducing the severity of the consequence and the likelihood of an unsafe event arising. These methods are associated with probabilistic safety assessments and are often subjective and qualitative. Existing operational safety studies are associated with uncertainty analysis and safety controller synthesis. These works usually lack systematic methods in determining unsafe conditions during the operation process. In this paper, safety critical variable analysis (SCVA) is developed from a novel perspective to assess process operational safety based on safety critical variables (SCVs) and the process model. SCVs are defined as the state variables that quantify process safety, which could facilitate integrating the conventional safety analysis and model-based uncertainties analysis. Two theorems are then proposed for assessing inherent and general process operational safety under certain uncertainties. A case study associated with the evaporator process is employed to examine the efficacy of the SCVA method. This work holds potential applications in process monitoring and safety critical control.
Keywords:
RISK ANALYSIS
FLEXIBILITY ANALYSIS
CHEMICAL-PROCESSES
FAULT-TREE
INDEX
FORMULATION
DESIGN
FUTURE
INDUSTRIES
PREVENTION
Journal
I
IF:
3.9
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4.0W
Citations:
9.6W