A reduced order modeling approach for natural gas transient flow in pipelines is presented. The Euler equations are considered as the governing equations and solved numerically using the implicit Steger-Warming flux vector splitting method. Next, the linearized form of the equations is derived and the corresponding eigensystem is obtained. Then, a few dominant flow eigenmodes are used to construct an efficient reduced-order model. A well-known test case is presented to demonstrate the accuracy and the computational efficiency of the proposed method. The results obtained are in good agreement with those of the direct numerical method and field data. Moreover, it is shown that the present reduced-order model is more efficient than the convent...
A set of equations governing an isothermal compressible fluid flow is resolved numerically for two p...
In this paper a lumped transfer function (TF) model is derived for High Pressure Natural Gas Pipelin...
In this paper, two Galerkin projection based reduced basis approaches are investigated for the reduc...
Hydrogen is a high pressure gas, hence hydrogen natural gas mixture require an accurate prediction o...
We consider the new class of high precision simplified linear models of transient high-pressure gas ...
Many algorithms and numerical methods, such as implicit and explicit finite differences and the meth...
The unexpected closing of a control valve or pumping, which can be planned or accidental could lead ...
A one-dimensional model which represent a system of partial differential equations that describe mat...
Transport of natural gas to continental Europe and UK is a large portion ofNorwegian petroleum indus...
In this effort towards zero carbon emission of energy generation, Hydrogen Natural Gas Mixture (HCNG...
One of the objectives of this research was to develop mathematical models for transient flow in a ga...
The transient simulation technology of natural gas pipeline networks plays an increasingly prominent...
Simulations of natural gas pipeline transients provide an insight into a pipeline capacity to delive...
This work focuses on the development of a mathematical model as a viable alternative to pinpoint loc...
This work deals with the model order reduction (MOR) of nonlinear, parametric systems of partial dif...
A set of equations governing an isothermal compressible fluid flow is resolved numerically for two p...
In this paper a lumped transfer function (TF) model is derived for High Pressure Natural Gas Pipelin...
In this paper, two Galerkin projection based reduced basis approaches are investigated for the reduc...
Hydrogen is a high pressure gas, hence hydrogen natural gas mixture require an accurate prediction o...
We consider the new class of high precision simplified linear models of transient high-pressure gas ...
Many algorithms and numerical methods, such as implicit and explicit finite differences and the meth...
The unexpected closing of a control valve or pumping, which can be planned or accidental could lead ...
A one-dimensional model which represent a system of partial differential equations that describe mat...
Transport of natural gas to continental Europe and UK is a large portion ofNorwegian petroleum indus...
In this effort towards zero carbon emission of energy generation, Hydrogen Natural Gas Mixture (HCNG...
One of the objectives of this research was to develop mathematical models for transient flow in a ga...
The transient simulation technology of natural gas pipeline networks plays an increasingly prominent...
Simulations of natural gas pipeline transients provide an insight into a pipeline capacity to delive...
This work focuses on the development of a mathematical model as a viable alternative to pinpoint loc...
This work deals with the model order reduction (MOR) of nonlinear, parametric systems of partial dif...
A set of equations governing an isothermal compressible fluid flow is resolved numerically for two p...
In this paper a lumped transfer function (TF) model is derived for High Pressure Natural Gas Pipelin...
In this paper, two Galerkin projection based reduced basis approaches are investigated for the reduc...