Abstract

The simulation of a natural gas pipeline network allows us to predict the behavior of a gas network system under different conditions. Such predictions can be effectively used to guide decisions regarding the design and operation of the real system. The simulation is generally associated with a high computational cost since the pipeline network is becoming more and more complex, as well as large-scale. In our previous study, the Decoupled Implicit Method for Efficient Network Simulation (DIMENS) method was proposed based on the ‘Divide-and-Conquer Approach’ ideal, and its computational speed was obviously high. However, only continuity/momentum Equations of the simple pipeline network composed of pipelines were studied in our previous work. In this paper, the DIMENS method is extended to the continuity/momentum and energy Equations coupled with the complex pipeline network, which includes pipelines and non-pipeline components. The extended DIMENS method can be used to solve more complex engineering problems than before. To extend the DIMENS method, two key issues are addressed in this paper. One is that the non-pipeline components are appropriately solved as the multi-component interconnection nodes; the other is that the procedures of solving the energy Equation are designed based on the gas flow direction in the pipeline. To validate the accuracy and efficiency of the present method, an example of a complex pipeline network is provided. From the result, it can be concluded that the accuracy of the proposed method is equivalent to that of the Stoner Pipeline Simulator (SPS), which includes commercially available simulation core codes, while the efficiency of the present method is over two times higher than that of the SPS.

Highlights

  • As a high quality and clean fossil fuel, natural gas plays an important role in global industry and economy [1]

  • One is that the non-pipeline components are appropriately solved as the multi-component interconnection nodes; the other is that the procedures of solving the energy Equation are designed based on the gas flow direction in the pipeline

  • The calculation accuracy of the Decoupled Implicit Method for Efficient Network Simulation (DIMENS) method is investigated by comparing the numerical solution obtained by the DIMENS method with that of Stoner Pipeline Simulator (SPS)

Read more

Summary

Introduction

As a high quality and clean fossil fuel, natural gas plays an important role in global industry and economy [1]. The computational speed was further improved by 50% Many researchers, such as Wylie et al [19] and Stoner [27], have recommended the sparse matrix technique to efficiently solve the large-scale discretized equations of network simulation. Dividing the network into several pipelines and solving them one by one is an effective way to further improve the computational speed of natural gas pipeline network simulation. This is the idea of the ‘Divide-and-Conquer Approach’. A numerical case of the complex pipeline network is designed to test the performance of the present method

Mathematical Model
Pipeline Model
Non-Pipeline Model
Multi-Component Interconnection Node Model
Boundary Conditions
Main Idea of the DIMENS Method
Main idea of the DIMENS method
Analysis of Flow Simulation
Extended DIMENS for Complex Pipeline Network
Procedures of the DIMENS Method in Flow Simulation
Analysis of Thermodynamic Simulation
Procedures of the Method
1: Classify
3: Pre-solve the second and third type pipelines
Results and Analysis
Description of the Numerical Test
Comparison of Numerical Accuracy
Temperature
13. Comparison
Comparison of Computational
14. Change
15. Change
Conclusions
Pipe pipe
Methods

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.