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Optimum Placement of Gas Detectors Based on Risk Assessment

Amir Hossein Rad | 2018

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 54861 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Rashtchian, Davoud
  7. Abstract:
  8. Gas detection systems are now recognized as an essential component of safety in process units.but their successful performance depends strongly on the number and location of the detectors.As for the limited resources available (detectors), the placement of gas detectors can be considered as an optimization problem with different objective functions. In this research, an attempt was made to provide models and methods that quantitatively and from a practical point of view to optimum locate the detectors. Initially, a risk-based method was presented that defines the necessary steps for the arrangement of fire gas detectors with the aim of covering the maximum risk of leakage scenarios (risk: potential for damage or injury). Compared to other objective functions such as maximizing coverage, taking such an approach is more in line with the main purpose of installing detection systems, means to reduce the damage or risk of accidents.in following an approximate model called MwRR was presented and implemented to improve location after reaching full coverage point. In this MILP model, in addition to the purpose of risk coverage, the detection time is also improved by adding detectors close to the leakage sources. The most important advantage of this method is its high execution speed due to its reliance on the results of reliable emission simulations. In this study, two MILP formulations were proposed that optimize the location of detectors by assuming a special arrangement of redundancy called multilevel voting. These two models, by expanding the previous formulations, eliminate their weakness in considering this type of makeup common in the industry. The models and methods presented in this research ultimately improve the design of diagnostic systems in process units They will help, and by providing benefits such as quantifying the evaluation of a detector location and making optimal use of detectors, they can be used in the future as a complement or alternative to traditional location methods.
  9. Keywords:
  10. Reliability ; Detector ; Risk Assessment ; Optimization ; Optimal Placement ; Process Safety

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