Development of an integrated dynamic model for supply security and resilience analysis of natural gas pipeline network systems

Abstract An integrated dynamic model of natural gas pipeline networks is developed in this paper. Components for gas supply, e.g., pipelines, junctions, compressor stations, LNG terminals, regulation stations and gas storage facilities are included in the model. These components are firstly modeled with respect to their properties and functions and, then, integrated at the system level by Graph Theory. The model can be used for simulating the system response in different scenarios of operation, and evaluate the consequences from the perspectives of supply security and resilience. A case study is considered to evaluate the accuracy of the model by benchmarking its results against those from literature and the software Pipeline Studio. Finally, the model is applied on a relatively complex natural gas pipeline network and the results are analyzed in detail from the supply security and resilience points of view. The main contributions of the paper are: firstly, a novel model of a complex gas pipeline network is proposed as a dynamic state-space model at system level; a method, based on the dynamic model, is proposed to analyze the security and resilience of supply from a system perspective.

[1]  Esmaeel Khanmirza,et al.  Transient simulation of gas pipeline networks using intelligent methods , 2016 .

[2]  Andrzej J. Osiadacz,et al.  Methods of steady-state simulation for gas networks , 1988 .

[3]  Enrico Zio,et al.  Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems , 2016, IEEE Transactions on Reliability.

[4]  Esmaeel Khanmirza,et al.  Application of PSO and cultural algorithms for transient analysis of natural gas pipeline , 2017 .

[5]  Gerard P.J. Dijkema,et al.  An integrated transient model for simulating the operation of natural gas transport systems , 2016 .

[6]  H. C. Ti,et al.  Transient analysis of gas pipeline network , 1998 .

[7]  M. Thring World Energy Outlook , 1977 .

[8]  Erik Jenelius,et al.  Vulnerability and resilience of transport systems : A discussion of recent research , 2015 .

[9]  Shankar Narasimhan,et al.  Simulation and State Estimation of Transient Flow in Gas Pipeline Networks Using a Transfer Function Model , 2006 .

[10]  Lamjed Hadj-Taïeb,et al.  Numerical modelling of hydrogen-natural gas mixtures flows in looped networks , 2017 .

[11]  Enrico Zio,et al.  Challenges in the vulnerability and risk analysis of critical infrastructures , 2016, Reliab. Eng. Syst. Saf..

[12]  G McGuire,et al.  Liquefied gas handling principles: On ships and in terminals , 1986 .

[13]  Jolanta Szoplik,et al.  Improving the natural gas transporting based on the steady state simulation results , 2016 .

[14]  N. Zaccarelli,et al.  European ability to cope with a gas crisis. Comparison between 2009 and 2014 , 2016 .

[15]  Hamid Reza Rahbari,et al.  Unsteady natural gas flow within pipeline network, an analytical approach , 2016 .

[16]  Vipul Jain,et al.  Measuring supply chain resilience using a deterministic modeling approach , 2014, Comput. Ind. Eng..

[17]  Ricardo Bolado-Lavin,et al.  A review of national gas emergency plans in the European Union , 2012 .

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

[19]  Jose M. Yusta,et al.  Grid vulnerability analysis based on scale-free graphs versus power flow models , 2013 .

[20]  H. C. Ti,et al.  Transient analysis of isothermal gas flow in pipeline network , 2000 .

[21]  Halit Üster,et al.  Optimization for Design and Operation of Natural Gas Transmission Networks , 2014 .

[22]  L. White,et al.  Transient Modeling of Arbitrary Pipe Networks by a Laplace-Domain Admittance Matrix , 2009 .

[23]  Enrico Zio,et al.  From complexity science to reliability efficiency: a new way of looking at complex network systems and critical infrastructures , 2007, Int. J. Crit. Infrastructures.

[24]  C. Bisgaard,et al.  A finite element method for transient compressible flow in pipelines , 1987 .

[25]  M. Kemal Leblebicioğlu,et al.  State estimation of transient flow in gas pipelines by a Kalman filter-based estimator , 2016 .

[26]  Liu Xiaojing,et al.  Transient flow simulation of municipal gas pipelines and networks using semi implicit finite volume method , 2011 .

[27]  Kopustinskas Vytis,et al.  Time dependent gas transmission network probabilistic simulator: Focus on storage discharge modeling , 2015 .

[28]  José Luis Risco Martín,et al.  Modeling and simulation of a gas distribution pipeline network , 2009 .

[29]  Enrico Zio,et al.  Some Challenges and Opportunities in Reliability Engineering , 2016, IEEE Transactions on Reliability.

[30]  Comparison of Bayesian estimation methods for modeling flow transients in gas pipelines , 2017 .

[31]  Majid Amidpour,et al.  Development and optimization of an integrated process configuration for natural gas liquefaction (LNG) and natural gas liquids (NGL) recovery with a nitrogen rejection unit (NRU) , 2016 .

[32]  Rezvan Alamian,et al.  A state space model for transient flow simulation in natural gas pipelines , 2012 .

[33]  Chi-Tsong Chen,et al.  Linear System Theory and Design , 1995 .

[34]  Mohd Amin Abd Majid,et al.  Simulation model for natural gas transmission pipeline network system , 2011, Simul. Model. Pract. Theory.

[35]  Yanyan Tang,et al.  The impacts of market reform on the market penetration of natural gas-fired electricity and renewable energy in China , 2017, Petroleum Science.

[36]  Lei Zhang,et al.  Simulation of the transient flow in a natural gas compression system using a high-order upwind scheme considering the real-gas behaviors , 2016 .

[37]  Enrico Zio,et al.  An integrated framework of agent-based modelling and robust optimization for microgrid energy management , 2014 .

[38]  Francesco Cadini,et al.  A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions , 2017 .