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Edward M. Marszal

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Edward M. Marszal

Edward M. Marszal

President and CEO, Kenexis

Ed Marszal is President and CEO of Kenexis. He has over 20 years of experience in the design of instrumented safeguards such as Safety Instrumented Systems and Fire and Gas Systems, and membership on the ISA 84 Standard Committee. Ed is an ISA Fellow and former Director of the ISA Safety Division and the author of the “Safety Integrity Level Selection” textbook from ISA. He is also a registered professional engineer and an ISA84 Expert.

Dramatically Decrease FGS Detector Count by Considering Scenario Size

Fire & Gas

Abstract: Nowadays the optimizing number of detectors is very challenge step with all end users. Every industry is looking for optimization design and solution where can save efforts and cost for brown fields or green one. The purpose of this paper is to create effective, efficient and accurate solution. The scenario base depending on the cloud size which is the result of consequence modeling / dispersion modeling, wind privilege and gas concentration. The output is footprint drawing showing the length, width and concentration of gas cloud dimension. Kenexis software (Effigy™) has the ability to import all that information to run scenario modeling. Calculated coverage area achieved selected performance target with less number of detectors up to 50%. The results will demonstrate the facility plot plan in different colors depending on the potential leak to occur and gas concentration. The lighter color is higher hazard frequency and darker color is lower frequency for leak to occur. All that results are in line with wind speed and direction while geographic doesn’t.

A plume fire model allows more vision of fire instead of single pixel. This model will consider Fire Plume Height and Width. Typical 50 kW fire of 1ft x 1ft n-Heptane plume is 1 ft. width and 3 ft. height. In this case, the coverage area is more realistic and accurate compared to point model. Kenexis software (Effigy™) has this option of Plume fire calculation method which advantage is reduction in detector count because volume of fire considered in the design.

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