Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method

IF 4.8 Q2 ENERGY & FUELS
Yifei Wang , Qihui Hu , Xuefeng Zhao , Buze Yin , Lan Meng , Xin Ouyang , Siqi Cong , Chaofei Nie , Yaqi Guo , Yuxing Li
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Abstract

The study of the diffusion characteristics of CO2 leakage in pipelines and the determination of the hazardous distance resulting from such leakage under various working conditions are crucial for identifying the high-consequence zone of industrial CO2 pipelines and analyzing the consequences of accidents. Currently, there is yet to be a unified conclusion on the delineation and calculation method of hazard distance. This paper has formulated hazard distance calculation and forecasting methods by combining test verification and model calculation. First, a full-scale pipe burst leakage experiment was carried out based on a self-designed and built CO2 pipe leakage device, the CO2 concentration data was measured, and the CO2 diffusion characteristics were analyzed. Then, the experimental measurement values were compared with the calculation results of the CO2 concentration calculation model to verify the reliability of the model. Furthermore, a hazard distance calculation model was introduced, which utilized bilinear interpolation and took into account time-weighted allowable concentrations. This model accurately determined the hazard distances caused by leaks at 11 specific locations along the pipeline. It was found that the location of the leak point can lead to significant differences in the classification of the hazard distance, so the development of a hazard distance prediction model is necessary. Eventually, a hazard distance prediction model was established based on the PSO-BP neural network. Six variables were selected as input parameters: CO2 temperature, pressure, density, position, and distance from the distance valve chamber. The hazard distance caused by a leak at 125 locations along the pipeline was predicted. The results showed that an increase in the transport distance or a location away from the valve chamber would lead to an increase in the hazard distance. At the same time, a CO2 leak in the supercritical state will not generate a hazard distance.

Abstract Image

超临界/密相CO2管道泄漏扩散实验及危害距离预测方法
研究管道中CO2泄漏的扩散特性,确定各种工况下CO2泄漏产生的危险距离,对于确定工业CO2管道的高后果区和分析事故后果至关重要。目前,对于危险距离的划定和计算方法还没有一个统一的结论。本文采用试验验证与模型计算相结合的方法,制定了危险距离的计算与预测方法。首先,基于自行设计建造的CO2管道泄漏装置,进行了全尺寸管道爆裂泄漏实验,测量了CO2浓度数据,分析了CO2扩散特性。然后,将实验测量值与CO2浓度计算模型的计算结果进行对比,验证模型的可靠性。在此基础上,提出了一种考虑时间加权允许浓度的双线性插值危险距离计算模型。该模型准确地确定了管道沿线11个特定位置泄漏造成的危险距离。发现泄漏点的位置会导致危险距离的分类有显著差异,因此建立危险距离预测模型是必要的。最后,建立了基于PSO-BP神经网络的灾害距离预测模型。选取6个变量作为输入参数:CO2温度、压力、密度、位置和距离阀室的距离。预测了管道沿线125个泄漏点的危险距离。结果表明,增大输送距离或远离阀室的位置会导致危险距离增大。同时,超临界状态下的CO2泄漏不会产生危险距离。
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CiteScore
7.50
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