engleski

Multi Objective Optimization of Aspirating Smoke Detector Pipeline Network

This work presents multi-objective optimization of an aspirating smoke detection system which uses the pipeline to transport air sample from the sampling hole to the analysing module. On the basis of 3D computational fluid dynamics simulation it has been shown that the smoke transport will not always take place in the centre of the pipe and that one dimensional analysis is not able to provide information in which layer smoke transport will take place. Velocity from the layer at a distance of 0.95R from pipe centreline was taken as an input for calculation of the transport time to bind the calculation on the safe side. By employing the multi-objective optimization approach, balancing of specific transport time and volume flow at the samplings points’ location was achieved. Pipeline configuration was also varied in order to provide better mixing of samples at fixed junction points. Four optimization problems have been set, with four different objective functions, and the same inequality boundaries. For the first objective function Euclidean norm of differences was used, and for the other three objective functions, the infinity norm of differences was used. First and second optimization function minimized transport time, whilst the third function minimized flow rates. Finally, the fourth optimization function was a combination of second and third optimization functions and gave best solutions.

Multi-objective optimization ; Objective function ; Smoke detectors ; Chemical species transport ; CFD ; Transport time ; Pipeline

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