An approach to placement optimization of gas detectors based on leakage scenario set

Key words:  leakage scenario set  gas detector  placement optimization  stochastic programming  oil refinery installations

Abstract:

The traditional gas detector placement method using typical or equal probability leakage scenarios can not reflect the actual risk, and the detection efficiency is also low. Basing on the approximate real leakage scenario set, this article proposes a new approach to gas detector placement optimization. It combines leaking condition and wind field to build leakage scenes that will probably occur and predicts the probability of each leakage scenario quantatively. The probability weighting method was applied to establish the quantitative evaluation index for the detector layout. With the constraint of detector number, the stochastic optimization model was developed. The gas leakage empirical model was also integrated to define the risk index for leakage scenario and the most credible scenario was selected to perform a CFD-based dispersion simulation. To obtain the optimal gas detectors placement efficiently, the quantum particle swarm optimization(QPSO) was employed to solve this model. The method mentioned above was applied to the optimization of hydrogen sulfide detectors for a diesel hydrogenation unit. The results demonstrate that the optimal hydrogen sulfide detectors placement can significantly improve the detection efficiency compared with the original layout.