A Natural Gas Transmission Network Optimization Model – The Case Study of Iran Gas Transmission Networks

Document Type : Research Paper

Authors

1 Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Iran

2 Department of Industrial and System Engineering, Tarbiat Modares University, Tehran, Iran

Abstract

We consider the problem of designing a new natural gas transmission network and expanding an existing network while minimizing the total investment and operating costs. We develop a mixed-integer nonlinear optimization model to determine pipelines in the network, compressor stations with their capacity as a variable, and their instalation schedule in a multi-period planning horizon. The model further decides on the amount of the produced natural gas in the steady-state flow for each period in the network. The model is solvable using Baron solver in Gams. We conduct computational studies on various cases generated using realistic network structure and data based on the natural gas network in Iran. Our analysis provides insights into sensitivity of network configuration and operations within different periods in the planning horizon and cost parameters of natural gas networks. Result proved 30 percentage decrease in cost of gas network transmission.
 

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References

[1]. طی گزارش سالیانه بین‏المللی انرژی در سال 2010 که در سایت http://www.energy.gov موجود است.##
[2]. طی گزارش سالیانه بین‏المللی انرژی در سال 2009 که در سایت http://www.energy.gov موجود است.##
[3]. Hamedi M., Zanjirani Farahani R., Moattar Husseini M. and Esmaeilian Gh. R., “A distribution planning model for natural gas supply chain, a case study,” Energy Policy, Vol. 37(3): pp. 799-812, 2009.##
[4]. Borraz-Sánchez C. and Ríos-Mercado R. Z., “Improving the operation of pipeline systems on cyclic structures by tabu search,” Computers & Chemical Engineering, Vol. 33(1): pp. 58-64, 2009.##
[5]. Chebouba A., Yalaoui F., Smati A., Amodeo L., Younsi K. and Tairi A., “Optimization of natural gas pipeline transportation using ant colony optimization,” Computers & Operations Research, Vol. 36(6): pp. 1916-1923, 2009.##
[6]. Chung, T., Li K. K., Chen G. J. Xie J. D. and Tang G. Q., “Multi-objective transmission network planning by a hybrid GA approach with fuzzy decision analysis,” International Journal of Electrical Power & Energy Systems, Vol. 25(3): pp. 187-192, 2003.##
[7]. Hamedi M., Farahani Z. and Esmaeilian G., “Optimization in natural gas network planning,” Logistics operations and management, 1st Ed. Elsevier, London, pp. 393-420, 2011.##
[8]. Kabirian A. and Hemmati M. R., “A strategic planning model for natural gas transmission networks,” Energy policy, Vol. 35(11): pp. 5656-5670, 2007.##
[9]. Woldeyohannes A. D. and Majid M. A. A., “Simulation model for natural gas transmission pipeline network system,” Simulation Modelling Practice and Theory, Vol. 19(1): pp. 196-212, 2011.##
[10]. Wu X., Li Ch., Jia W. and He Y., “Optimal operation of trunk natural gas pipelines via an inertia-adaptive particle swarm optimization algorithm,” Journal of Natural Gas Science and Engineering, Vol. 21: pp. 10-18, 2014.##
[11]. Borraz-Sánchez C. and Haugland D. “Minimizing fuel cost in gas transmission networks by dynamic programming and adaptive discretization,” Computers & Industrial Engineering, Vol. 61(2): pp. 364-372, 2011.##
[12]. Misra S., Fisher M. W., Backhaus S., Bent R., Chertkov M. and Pan F., “Optimal compression in natural gas networks a geometric programming approach,” IEEE Transactions on Control of Network Systems, Vol. 2, Issue 1, pp. 47-56, 2015.##
[13]. Midthun K. Fodstad T. M. and Hellemo L., “Optimization Model to Analyse Optimal Development of Natural Gas Fields and Infrastructure,” Energy Procedia, Vol. 64: pp. 111-119, 2015.##
[14]. Menon E. S., Gas pipeline hydraulics. CRC Press, 2005.##
Journal of Petroleum Research
Volume 27, 96-4 - Serial Number 4
September and October 2017
Pages 46-59

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