摘要
为了有效地应对碳捕集、利用与封存过程中CO_(2)运输管道可能发生的潜在泄漏事故,快速且准确地预测CO_(2)的泄漏源和体积分数仍然是应急救援的关键。这需要一个恰当的气体扩散模型、适当的分布监测点并应用逆计算方法来实现。研究提出了一种基于试验数据的优化建模方法,通过对高斯羽流模型进行改进,修正了高度H e,并与长为258 m的工业级大尺寸管道试验监测数据进行比较,提高了源强度逆向计算的准确性。结果显示,有必要建立每个位置的气体扩散模型,以保证源强度估计的准确性;模型在计算特定点体积分数与试验结果的最大误差是7.01%,在源强度逆向计算误差分别是0.94%、0.69%和9.61%。由此可知,逆计算值的精度较高,能够用于应急救援安全评估的快速预测。
This paper presents an innovative optimized modeling strategy that integrates experimental data to enhance the applicability of the traditional Gaussian plume model.The Gaussian plume model has been significantly improved through the introduction of a height correction factor,H e,which is derived from an analysis of the forces acting on a unit of gas,thereby establishing the relationship between diffusion velocity and density.The height correction factor is then employed to optimize the Gaussian model for CO_(2)plumes,thereby improving the model s capability to simulate CO_(2)diffusion behavior.This optimized model was subsequently subjected to extensive comparison and validation against monitoring data from a 258-meter-long industrial-scale CO_(2)pipeline leakage experiment.The results demonstrate that the model significantly enhances the accuracy of reverse calculations of source strength.Further analysis indicates that,to ensure high precision in estimating source strength and leakage location,it is essential to develop customized CO_(2)diffusion models for the three different leakage scenarios.A comparison between the experimental results and model calculations reveals that,when predicting the volume fraction at specific monitoring points,the maximum error is maintained within 7.01%.This demonstrates that the corrected Gaussian model is suitable for risk prediction in diffusion areas.Additionally,during the reverse calculation of source strength,errors are as low as 0.94%and 0.69%.Even in instances where the error reaches 9.61%,it remains below 10%.Furthermore,the difference in the predicted coordinates of the leakage source in the reverse calculation is within 10 meters,thereby fully validating the high accuracy of this reverse prediction model.The reverse calculation method proposed in this paper,which is based on optimized modeling with experimental data,not only demonstrates high predictive accuracy but also shows potential for application in emergency response scenarios involving leaks in Carbon Capture,Utilization,and Storage(CCUS)systems.This method supports the enhancement of the overall safety and reliability of CCUS technology by facilitating safety assessments and enabling rapid predictions.
作者
孟凡鹏
远双杰
安永胜
胡延伟
喻健良
尹浩然
毛颜波
MENG Fanpeng;YUAN Shuangjie;AN Yongsheng;HU Yanwei;YU Jianliang;YIN Haoran;MAO Yanbo(China National Petroleum Pipeline Engineering Co.,Ltd.,Langfang 065202,Hebei,China;National Key Laboratory for Improving Oil and Gas Recovery,Langfang 065202,Hebei,China;School of Chemical Engineering,Dalian University of Technology,Dalian 116024,Liaoning,China)
出处
《安全与环境学报》
CAS
CSCD
北大核心
2024年第12期4820-4825,共6页
Journal of Safety and Environment
基金
中国石油天然气股份有限公司科学研究与技术开发项目(2021ZZ01-02)。
作者简介
孟凡鹏,高级工程师,硕士,从事二氧化碳管输技术研究,mengfanpeng@cppe.com.cn;通信作者:喻健良,教授,博士,从事CO_(2)管输安全研究,yujianliang@dlut.edu.cn。
