Simulation model for natural gas transmission pipeline network system

2011 ◽  
Vol 19 (1) ◽  
pp. 196-212 ◽  
Author(s):  
Abraham Debebe Woldeyohannes ◽  
Mohd Amin Abd Majid
Keyword(s):  
Natural Gas ◽  
Simulation Model ◽  
Network System ◽  
Pipeline Network ◽  
Natural Gas Transmission ◽  
Transmission Pipeline

Optimal Operation of a Multi Source Multi Delivery Natural Gas Transmission Pipeline Network

2018 ◽  
Vol 13 (3) ◽  
Author(s):  
Dr. Adarsh Kumar Arya ◽  
Dr. Shrihari Honwad
Keyword(s):  
Natural Gas ◽  
Fuel Consumption ◽  
Optimal Operation ◽  
Gas Pipeline ◽  
Ant Colony ◽  
Generalized Gradient ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Natural Gas Transmission ◽  
Transmission Pipeline

Abstract Transportation of natural gas from gathering station to consumption centers is done through complex gas pipeline network system. The huge cost involved in transporting natural gas has made pipeline optimization of increased interest in natural gas pipeline industries. In the present work a lesser known application of Ant Colony in pipeline optimization, has been implemented in a real gas pipeline network. The objective chosen is to minimize the fuel consumption in a gas pipeline network consisting of seven compressors. Pressures at forty-five nodes are chosen as the decision variables. Results of Ant Colony Optimization (ACO) have been compared with those of GAMS that utilizes ‘Generalized gradient principles’ for optimization. Our results utilizing ACO show significant improvement in fuel consumption reductions. Similar procedures can be adopted by researchers and pipeline managers to help pipeline operators in fixing up the pressures at different nodes so as the fuel consumption in compressors gets minimized.

scholarly journals Computer-Aided Simulation Model for Natural Gas Pipeline Network System Operations

2004 ◽  
Vol 43 (4) ◽  
pp. 990-1002 ◽  
Author(s):  
Panote Nimmanonda ◽  
Varanon Uraikul ◽  
Christine W. Chan ◽  
Paitoon Tontiwachwuthikul
Keyword(s):  
Natural Gas ◽  
Simulation Model ◽  
Gas Pipeline ◽  
Network System ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Computer Aided

Analogical Approach for Optimizing Natural Gas Transmission Pipeline Network System

2011 ◽  
Vol 361-363 ◽  
pp. 966-973
Author(s):  
Debebe Woldeyohannes Abraham ◽  
Mohd Amin bin Abd Majid
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Inventory Model ◽  
Gas Pipeline ◽  
Network System ◽  
Robust Solution ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Transmission Pipeline ◽  
Analogical Approach

The increase in demand for natural gas in different sectors attracted different scholars in optimizing the operation and configurations of natural gas pipeline network (NGPN) systems. Even though there have been reports regarding the attempts of solutions for optimizing NGPN problems, the issues of NGPN regarding energy minimizations are not fully address yet. This paper proposed robust solution for NGPN system energy consumption minimization at compressor stations based on analogical approach. The analogies between NGPN system and inventory model were observed and applied in the analysis of steady state NGPN system. The proposed technique is based on the inventory model to find optimal operations for natural gas pipeline network system. The method for the determination of the optimal pressures was efficient and handled the non-linearity that occurs on both objective and the constraint equations. Results on a gunbarrel NGPN showed the proposed method assisted in determining the discharge and suction pressures to minimized energy consumption at compressor stations.

scholarly journals Data Analysis and Model Validation of Natural Gas Transmission Pipeline With Compressor Station

2019 ◽  
Author(s):  
David Cheng
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Model Validation ◽  
Measurement Data ◽  
Real Life ◽  
Gas Pipeline ◽  
Physical Parameters ◽  
Pressure Drops ◽  
Natural Gas Transmission ◽  
Transmission Pipeline

Abstract Data from the DCS systems provides important information about the performance and transportation efficiency of a gas pipeline with compressor stations. The pipeline performance data provides correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedure, and a real life example of model validation based performance analysis of gas pipeline. Statistic methods are demonstrated with real gas pipeline measurement data. The methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in evaluating the fundamental physical parameters and assessing the pipeline hydraulics conditions for potential issues influencing pressure drops in the pipeline such as corrosion (ID change), roughness changes, or BSW deposition.

Data Analysis and Model Validation of Natural Gas Transmission Pipeline With Compressor Station

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
David Cheng
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Model Validation ◽  
Measurement Data ◽  
Gas Pipeline ◽  
Pipeline System ◽  
Actual System ◽  
Natural Gas Transmission ◽  
Transmission Pipeline ◽  
Performance Analysis Tools

Abstract Data from the distributed control system (DCS) or supervisory control and data acquisition (SCADA) system provide useful information critical to the evaluation of the performance and transportation efficiency of a gas pipeline system with compressor stations. The pipeline performance data provide correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedures, and an example of model validation-based performance analysis of a gas pipeline based on actual system operational data. An analysis approach based on statistical methods is demonstrated with actual DCS gas pipeline measurement data. These methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in assessing the pipeline hydraulics parameters that influence the pressure drop in the pipeline such as corrosion (inside diameter change), roughness changes, or basic sediment and water deposition.

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