Simulation model for natural gas transmission pipeline network system

Abstract This paper focuses on developing a simulation model for the analysis of transmission pipeline network system (TPNS) with detailed characteristics of compressor stations. Compressor station is the key element in the TPNS since it provides energy to keep the gas moving. The simulation model is used to create a system that simulates TPNS with different configurations to get pressure and flow parameters. The mathematical formulations for the TPNS simulation were derived from the principles of flow of fluid through pipe, mass balance and compressor characteristics. In order to determine the unknown pressure and flow parameters, a visual C++ code was developed based on Newton–Raphson solution technique. Using the parameters obtained, the model evaluates the energy consumption for various configurations in order to guide for the selection of optimal TPNS. Results from the evaluations of the model with the existing TPNS and comparison with the existing approaches showed that the developed simulation model enabled to determine the operational parameters with less than 10 iterations. Hence, the simulation model could assist in decisions regarding the design and operations of the TPNS.

[1]  João C.C. Henriques,et al.  Dynamic behaviour of high-pressure natural-gas flow in pipelines , 2005 .

[2]  Kin Keung Lai,et al.  Deterministic global optimization approach to steady-state distribution gas pipeline networks , 2007 .

[3]  Suming Wu,et al.  Model relaxations for the fuel cost minimization of steady-state gas pipeline networks , 2000 .

[4]  Kirby S. Chapman,et al.  Transient modeling of non-isothermal, dispersed two-phase flow in natural gas pipelines , 2010 .

[5]  Robert G. Sargent,et al.  Verification and validation of simulation models , 2009, IEEE Engineering Management Review.

[6]  Patrick D. Surry,et al.  A Multi-objective Approach to Constrained Optimisation of Gas Supply Networks: the COMOGA Method , 1995, Evolutionary Computing, AISB Workshop.

[7]  Christine W. Chan,et al.  Applications of artificial intelligence for optimization of compressor scheduling , 2006, Eng. Appl. Artif. Intell..

[8]  D. Brkić An improvement of Hardy Cross method applied on looped spatial natural gas distribution networks , 2009 .

[9]  Mohand Kessal,et al.  Simplified Numerical Simulation of Transients in Gas Networks , 2000 .

[10]  Frank W. Letniowski Compressor Station Modeling In Networks , 1993 .

[11]  William Y. Svrcek,et al.  The effect of major parameters on simulation results of gas pipelines , 2007 .

[12]  E. Andrew Boyd,et al.  Efficient operation of natural gas transmission systems: A network-based heuristic for cyclic structures , 2006, Comput. Oper. Res..

[13]  Richard G. Carter,et al.  Pipeline Optimization: Dynamic Programming After 30 Years , 1998 .

[14]  Juan-Carlos Ferrer,et al.  A Mixed-Integer Programming Model for Gas Purchase and Transportation , 2005, Ann. Oper. Res..

[15]  R. Larson,et al.  Optimization of tree-structured natural-gas transmission networks , 1968 .

[16]  Jack P. C. Kleijnen,et al.  Statistical validation of simulation models , 1995 .

[17]  Jack P. C. Kleijnen,et al.  EUROPEAN JOURNAL OF OPERATIONAL , 1992 .

[18]  M. Theodore Gresh Compressor Performance: Aerodynamics for the User , 2001 .

[19]  Jean-Marie Fürbringer,et al.  Confidence of simulation results: put a sensitivity analysis module in your MODEL: The IEA-ECBCS Annex 23 experience of model evaluation , 1999 .

[20]  Rainer Kurz,et al.  Modeling Turbomachinery In Pipeline Simulations , 2003 .

[21]  Roger Z. Ríos-Mercado,et al.  A Hybrid Meta-heuristic Approach for Natural Gas Pipeline Network Optimization , 2005, Hybrid Metaheuristics.

[22]  K. F. Pratt,et al.  Optimisation of the operation of gas transmission systems , 1984 .

[23]  E. Shashi Menon,et al.  Gas pipeline hydraulics , 2005 .

[24]  Christine W. Chan,et al.  An integrated expert system/operations research approach for the optimization of natural gas pipeline operations , 2000 .

[25]  Andrzej J. Osiadacz Osiadacz,et al.  Simulation and Analysis of Gas Networks , 1987 .

[26]  Tom van der Hoeven Constrained Network Simulation , 2003 .

[27]  Y. Smeers,et al.  The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm , 2000 .

[28]  W. Stoecker Design of thermal systems , 1971 .

[29]  A. Dukler,et al.  A model for predicting flow regime transitions in horizontal and near horizontal gas‐liquid flow , 1976 .

[30]  Paitoon Tontiwachwuthikul,et al.  A computer-aided model for design of a simulation system for the natural gas pipeline network system , 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

[31]  Michele Pinelli,et al.  Analysis of biogas compression system dynamics , 2009 .

[32]  José L. Risco-Martín,et al.  Modeling and simulation of a gas distribution pipeline network , 2009 .

[33]  Ghosh Pallab Numerical Methods with Computer Programs in C , 2006 .

[34]  E. Andrew Boyd,et al.  A Reduction Technique for Natural Gas Transmission Network Optimization Problems , 2002, Ann. Oper. Res..