A multidimensional and multiscale model for pressure analysis in a reservoir-pipe-valve system

Zheng, Feng Jie and Zong, Chao Yong and Dempster, William and Qu, Fu Zheng and Song, Xue Guan (2019) A multidimensional and multiscale model for pressure analysis in a reservoir-pipe-valve system. Journal of Pressure Vessel Technology, Transactions of the ASME, 141 (5). 051603. ISSN 0094-9930 (https://doi.org/10.1115/1.4044117)

[thumbnail of Zheng-etal-JPVT-2019-A-multidimensional-and-multiscale-model-for-pressure-analysis]
Preview
Text. Filename: Zheng_etal_JPVT_2019_A_multidimensional_and_multiscale_model_for_pressure_analysis.pdf
Accepted Author Manuscript

Download (2MB)| Preview

Abstract

Reservoir-pipe-valve (RPV) systems are widely used in many industrial processes. The pressure in an RPV system plays an important role in the safe operation of the system, especially during the sudden operations such as rapid valve opening or closing. To investigate the pressure response, with particular interest in the pressure fluctuations in an RPV system, a multidimensional and multiscale model combining the method of characteristics (MOC) and computational fluid dynamics (CFD) method is proposed. In the model, the reservoir is modeled as a zero-dimensional virtual point, the pipe is modeled as a one-dimensional system using the MOC, and the valve is modeled using a threedimensional CFD model. An interface model is used to connect the multidimensional and multiscale model. Based on the model, a transient simulation of the turbulent flow in an RPV system is conducted in which not only the pressure fluctuation in the pipe but also the detailed pressure distribution in the valve is obtained. The results show that the proposed model is in good agreement when compared with a high fidelity CFD model used to represent both large-scale and small-scale spaces. As expected, the proposed model is significantly more computationally efficient than the CFD model. This demonstrates the feasibility of analyzing complex RPV systems within an affordable computational time.