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A risk-based MILP approach for optimal placement of flammable gas detectors

Rad, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.3303/CET1653025
  3. Publisher: Italian Association of Chemical Engineering - AIDIC
  4. Abstract:
  5. Gas detectors play an important role in safety of process plants. In-time detection of flammable gas releases may prevent major fire and explosion as well as property loss in process plants. One of the challenges of the gas detection system design is determining the best layout for detectors in order to reduce the risk of gas releases as much as possible. However, current methods do not address the risk concept in placement of detectors quantitatively. A risk-based methodology is proposed for optimal placement of point type flammable gas detectors in which first the risk (defined as a combination of scenario frequency, delayed ignition probability and damage) is estimated for any release scenario. Then, an MILP (Mixed Integer Linear Programming) formulation called MwRR (Maximum weighted Risk Reduction) is proposed for optimal placement. The methodology uses steady-state dispersion results which is an advantage compared to approaches that use dynamic results. The proposed approach is tested on a real petrochemical process unit. For this purpose, the methodology was implemented in MATLAB programming language and the required dispersion data was prepared by means of DNV PHAST software
  6. Keywords:
  7. Dispersions ; Firedamp ; Flammability ; Gas detectors ; Gas plants ; Gases ; Integer programming ; MATLAB ; Risks ; Fire and explosion ; Flammable gas release ; Gas detection systems ; Ignition probability ; Matlab programming ; Mixed integer linear programming ; Optimal placements ; Petrochemical process ; Risk perception
  8. Source: Chemical Engineering Transactions ; Volume 53 , 2016 , Pages 145-150 ; 22839216 (ISSN)
  9. URL: http://www.aidic.it/cet/16/53/025.pdf