Experiments of natural gas leakage diffusion and optimization of the Gaussian prediction model
It is well known that natural gas diffusion pattern is vital to the design of natural gas leakage monitoring.Determination of natural gas leakage diffusion using the Gaussian prediction model has become a key process of risk evaluation and safe evacuation in case of natural gas accidents.Nonetheless,there are no experimental facilities available to measure the leakage diffusion concentration of light gases such as natural gas.Considering the low accuracy of the Gaussian prediction model in natural gas leakage diffusion prediction,the natural gas diffusion concentration monitoring experimental platform was employed to measure the methane concentrations at various heights and locations in the downstream diffusion space under different wind speeds and leakage rates by using the array of laser methane concentration probes.Then,the lift height,lateral diffusion,and lateral/vertical diffusion coefficient in the Gaussian diffusion model were further corrected.The results show that the custom-designed methane concentration monitoring experimental platform can effectively capture leakage gas clouds and measure their distributed concentrations at any location within the downstream diffusion space.Gas cloud lift resulted from natural gas leakage is not significant,but only observed in instances of no wind or low leakage rate.It is concluded that the Gaussian diffusion model optimized through experiment yields a significantly enhanced accuracy.Comparison with empirical parameters obtained from gauge readings reveals a great decrease in the deviation of diffusion concentration predicted by the Gaussian model from 33%to 16%.The research results have important guiding significance for the design of natural gas leakage risk evaluation and leakage monitoring system.
Natural gasLeakage diffusion experimentGaussian model optimizationLift heightDiffusion coefficient
万方数据
维普
