The Experts below are selected from a list of 387567 Experts worldwide ranked by ideXlab platform

Afshin Ghanbarzadeh - One of the best experts on this subject based on the ideXlab platform.

  • a state space model for transient Flow Simulation in natural gas pipelines
    Journal of Natural Gas Science and Engineering, 2012
    Co-Authors: Rezvan Alamian, Morteza Behbahaninejad, Afshin Ghanbarzadeh
    Abstract:

    A transient Flow Simulation for gas pipelines and networks is proposed. The proposed transient Flow Simulation is based on the state space equations. These equations are derived by the transfer function equations. However, the transfer function model cannot be used for a complicated network. One can easily apply a state space model for a large and complicated network. For a state space model, the equivalent transfer functions of the nonlinear governing equations are derived for different boundary condition types. Next, the state space equations are derived from the transfer functions. To verify the accuracy of the proposed Simulation, the results obtained are compared with those of the conventional finite difference schemes (such as total variation diminishing algorithms, method of lines, and other finite difference implicit and explicit schemes). The effect of the Flow inertia is incorporated in this Simulation. The accuracy and computational efficiency of the proposed method are discussed for a single gas pipeline and a sample gas network; besides for accuracy of this method for different boundary conditions, results for a sample gas pipeline with different boundary conditions are compared.

  • Transient Flow Simulation in Natural Gas Pipelines Using the State Space Model
    ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis Volume 3, 2010
    Co-Authors: Morteza Behbahani-nejad, Afshin Ghanbarzadeh, Rezvan Alamian
    Abstract:

    A transient Flow Simulation for gas pipelines and networks is proposed. The proposed transient Flow Simulation is based on the state space equations. The equivalent transfer functions of the nonlinear governing equations are derived for different boundary conditions types. Next, the state space equations are derived from the transfer functions. To verify the accuracy of the proposed Simulation, the results obtained are compared with those of the conventional finite difference schemes (such as total variation diminishing algorithms, method of lines, and other finite difference implicit and explicit schemes). The effect of the Flow inertia is incorporated in this Simulation. The accuracy and computational efficiency of the proposed method are discussed for a single gas pipeline and a sample gas network.Copyright © 2010 by ASME

Rezvan Alamian - One of the best experts on this subject based on the ideXlab platform.

  • a state space model for transient Flow Simulation in natural gas pipelines
    Journal of Natural Gas Science and Engineering, 2012
    Co-Authors: Rezvan Alamian, Morteza Behbahaninejad, Afshin Ghanbarzadeh
    Abstract:

    A transient Flow Simulation for gas pipelines and networks is proposed. The proposed transient Flow Simulation is based on the state space equations. These equations are derived by the transfer function equations. However, the transfer function model cannot be used for a complicated network. One can easily apply a state space model for a large and complicated network. For a state space model, the equivalent transfer functions of the nonlinear governing equations are derived for different boundary condition types. Next, the state space equations are derived from the transfer functions. To verify the accuracy of the proposed Simulation, the results obtained are compared with those of the conventional finite difference schemes (such as total variation diminishing algorithms, method of lines, and other finite difference implicit and explicit schemes). The effect of the Flow inertia is incorporated in this Simulation. The accuracy and computational efficiency of the proposed method are discussed for a single gas pipeline and a sample gas network; besides for accuracy of this method for different boundary conditions, results for a sample gas pipeline with different boundary conditions are compared.

  • Transient Flow Simulation in Natural Gas Pipelines Using the State Space Model
    ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis Volume 3, 2010
    Co-Authors: Morteza Behbahani-nejad, Afshin Ghanbarzadeh, Rezvan Alamian
    Abstract:

    A transient Flow Simulation for gas pipelines and networks is proposed. The proposed transient Flow Simulation is based on the state space equations. The equivalent transfer functions of the nonlinear governing equations are derived for different boundary conditions types. Next, the state space equations are derived from the transfer functions. To verify the accuracy of the proposed Simulation, the results obtained are compared with those of the conventional finite difference schemes (such as total variation diminishing algorithms, method of lines, and other finite difference implicit and explicit schemes). The effect of the Flow inertia is incorporated in this Simulation. The accuracy and computational efficiency of the proposed method are discussed for a single gas pipeline and a sample gas network.Copyright © 2010 by ASME

Morteza Behbahaninejad - One of the best experts on this subject based on the ideXlab platform.

  • a state space model for transient Flow Simulation in natural gas pipelines
    Journal of Natural Gas Science and Engineering, 2012
    Co-Authors: Rezvan Alamian, Morteza Behbahaninejad, Afshin Ghanbarzadeh
    Abstract:

    A transient Flow Simulation for gas pipelines and networks is proposed. The proposed transient Flow Simulation is based on the state space equations. These equations are derived by the transfer function equations. However, the transfer function model cannot be used for a complicated network. One can easily apply a state space model for a large and complicated network. For a state space model, the equivalent transfer functions of the nonlinear governing equations are derived for different boundary condition types. Next, the state space equations are derived from the transfer functions. To verify the accuracy of the proposed Simulation, the results obtained are compared with those of the conventional finite difference schemes (such as total variation diminishing algorithms, method of lines, and other finite difference implicit and explicit schemes). The effect of the Flow inertia is incorporated in this Simulation. The accuracy and computational efficiency of the proposed method are discussed for a single gas pipeline and a sample gas network; besides for accuracy of this method for different boundary conditions, results for a sample gas pipeline with different boundary conditions are compared.

Mihails Savrasovs - One of the best experts on this subject based on the ideXlab platform.

  • TRAFFIC Flow Simulation ON DISCRETE RATE APPROACH BASE
    Transport and Telecommunication Journal, 2012
    Co-Authors: Mihails Savrasovs
    Abstract:

    The classical scientific literature dedicated to transport modelling has emphasised three levels of detail on which traffic models could be created. These levels are: microlevel, mesolevel and macroscopic level. Microscopic and macroscopic modelling are well known and widely used. The term ‘mesoscopic modelling’ has been interpreted by different scientists in different ways. In general, mesoscopic traffic Flow models are understood to be models where traffic Flow is described with a high level of detail, but at the same time Flow behaviour and Flow interactions are presented with a low level of description. The previously proposed new Simulation approach (called ‘mesoscopic Simulation’) was applied to traffic Flow Simulation. All the described models were implemented using Microsoft Excel and VBA. However, the practical application concerns that to construct more sophisticated models Microsoft Excel and VBA could not be used, because of programming complexity. The main goal of this paper is to present examples of the application of the discrete rate approach of ExtendSim Simulation software for traffic Flow Simulation. A literature survey has shown that the discrete rate approach is mainly used in logistics, but not in the area of transport area. So the tasks of this paper are to present the main techniques of model implementation using a discrete rate approach and to apply this approach to traffic Flow Simulation.

  • THE APPLICATION OF A DISCRETE RATE APPROACH TO TRAFFIC Flow Simulation
    2010
    Co-Authors: Mihails Savrasovs
    Abstract:

    The classical scientific literature dedicated to transport modelling has emphasised three levels of detail on which traffic models could be created. These levels are: microlevel, mesolevel and macroscopic level. Microscopic and macroscopic modelling are well known and widely used. The term ‘mesoscopic modelling’ has been interpreted by different scientists in different ways. In general, mesoscopic traffic Flow models are understood to be models where traffic Flow is described with a high level of detail, but at the same time Flow behaviour and Flow interactions are presented with a low level of description. The previously proposed new Simulation approach (called ‘mesoscopic Simulation’) was applied to traffic Flow Simulation. All the described models were implemented using Microsoft Excel and VBA. However, the practical application concerns that to construct more sophisticated models Microsoft Excel and VBA could not be used, because of programming complexity. The main goal of this paper is to present examples of the application of the discrete rate approach of ExtendSim Simulation software for traffic Flow Simulation. A literature survey has shown that the discrete rate approach is mainly used in logistics, but not in the area of transport area. So the tasks of this paper are to present the main techniques of model implementation using a discrete rate approach and to apply this approach to traffic Flow Simulation.

Jeff Emanuel - One of the best experts on this subject based on the ideXlab platform.