<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In the simulation and optimization of natural gas flow in a pipeline network, a hierarchy of models is used that employs different formulations of the Euler equations. While the optimization is performed on piecewise linear models, the flow simulation is based on the one to three dimensional Euler equations including the temperature distributions. To decide which model class in the hierarchy is adequate to achieve a desired accuracy, this paper presents an error and perturbation analysis for a two level model hierarchy including the isothermal Euler equations in semilinear form and the stationary Euler equations in purely algebraic form. The focus of the work is on the effect of data uncertainty, discretization, and rounding errors in the numerical simulation of these models and their interaction. Two simple discretization schemes for the semilinear model are compared with respect to their conditioning and temporal stepsizes are determined for which a well-conditioned problem is obtained. The results are based on new componentwise relative condition numbers for the solution of nonlinear systems of equations. More- over, the model error between the semilinear and the algebraic model is computed, the maximum pipeline length is determined for which the algebraic model can be used safely, and a condition is derived for which the isothermal model is adequate.</p></abstract>

In the simulation and optimization of natural gas flow in a pipeline network, a hierarchy of models is used that employs different formulations of the Euler equations. While the optimization is performed on piecewise linear models, the flow simulation is based on the one to three dimensional Euler equations including the temperature distributions. To decide which model class in the hierarchy is adequate to achieve a desired accuracy, this paper presents an error and perturbation analysis for a two level model hierarchy including the isothermal Euler equations in semilinear form and the stationary Euler equations in purely algebraic form. The focus of the work is on the effect of data uncertainty, discretization, and rounding errors in the numerical simulation of these models and their interaction. Two simple discretization schemes for the semilinear model are compared with respect to their conditioning and temporal stepsizes are determined for which a well-conditioned problem is obtained. The results are based on new componentwise relative condition numbers for the solution of nonlinear systems of equations. More- over, the model error between the semilinear and the algebraic model is computed, the maximum pipeline length is determined for which the algebraic model can be used safely, and a condition is derived for which the isothermal model is adequate.

Error Analysis and Model Adaptivity for Flows in Gas Networks

Analele ştiinţifice ale Universităţii "Ovidius" Constanţa. Seria Matematică

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Error Analysis and Model Adaptivity for Flows in Gas Networks"}

In the simulation and optimization of natural gas flow in a pipeline network, a hierarchy of models is used that employs different formulations of the Euler...

Error Analysis and Model Adaptivity for Flows in Gas Networks

Pubblicato online: 22 nov 2018

Pagine: 231 - 266

Ricevuto: 01 gen 2017

Accettato: 01 ago 2017

DOI: https://doi.org/10.2478/auom-2018-0027

Parole chiave
gas network, isothermal Euler equations, algebraic approximation of Euler equations, error analysis, condition number, data uncertainty, componentwise error analysis, stochastic error analysis

© 2018 Jeroen J. Stolwijk, Volker Mehrmann, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Error Analysis and Model Adaptivity for Flows in Gas Networks

Pubblicato online: 22 nov 2018

Pagine: 231 - 266

Ricevuto: 01 gen 2017

Accettato: 01 ago 2017

DOI: https://doi.org/10.2478/auom-2018-0027

Parole chiavegas network, isothermal Euler equations, algebraic approximation of Euler equations, error analysis, condition number, data uncertainty, componentwise error analysis, stochastic error analysis

© 2018 Jeroen J. Stolwijk, Volker Mehrmann, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
gas network, isothermal Euler equations, algebraic approximation of Euler equations, error analysis, condition number, data uncertainty, componentwise error analysis, stochastic error analysis