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首页> 外文会议>International pipeline conference >A DYNAMIC MODELING OF PIPELINE NETWORKS FOR DENSE COMPRESSIBLE FLUIDS TUNED WITH TIME SERIES OF PLANT DATA
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A DYNAMIC MODELING OF PIPELINE NETWORKS FOR DENSE COMPRESSIBLE FLUIDS TUNED WITH TIME SERIES OF PLANT DATA

机译：用时间序列植物数据调谐致密可压缩流体管网的动态建模

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We approached a phenomenological model for dynamic simulation of large pipeline networks carrying dense compressible fluids. In a typical application, the thermodynamic condition of the fluid is slightly supercritical, temperature is near environmental levels, pressure is high and the network size reaches hundreds of kilometers. Our model relies on decomposing the network on tube and vertex contexts. In the first context, continuity and momentum equations are written for each tube, jointly with a simplified flow relationship between density and pressure. These equations are treated via a finite element formalism. In the second context, network connectivity is taken into account through transient vertex mass balances. The set of tube-vertex time differential equations is integrated numerically. Model parameters are tuned with quasi-stationary time series of data via reconciliation procedures. Our case study is a 485km line for ethylene transportation between petrochemical plants. Results are useful for engineering, training, monitoring and inventorial applications.
机译：我们对携带密集可压缩流体的大型管道网络动态仿真的现象学模型。在典型的应用中，流体的热力学条件略微超临界，温度接近环境水平，压力高，网络尺寸达到数百公里。我们的模型依赖于将网络分解在管和顶点上下文上。在第一上下文中，连续地用密度和压力之间的简化流动关系向每个管写入连续性和动量方程。这些方程通过有限元形式主义处理。在第二个背景下，通过瞬态顶点质量余额考虑网络连接。该组管顶点时间微分方程在数字上集成。通过调节程序使用准静止时间序列进行调整模型参数。我们的案例研究是石油化工植物之间的乙烯运输485公里。结果对于工程，培训，监控和解应用是有用的。

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