Simulation of natural gas quality distribution for pipeline systems

This paper reports on an investigation into the transient compressible flow physics that impacts transmission system operation under variable gas quality conditions. Gas quality issues are becoming more prominent due to the diversification of supplies, e.g. new LNG terminals, unconventional gas sources and decentralized green fuel injections (hydrogen, substitute natural gas). A comprehensive pipeline flow model with gas composition tracking resulting from the coupling of mass and chemical energy transport models has been developed to study the effect of the variation in gas composition on the operation strategy of the pipeline system. Three illustrative examples demonstrate the effectiveness of the proposed approach. The first two examples present model validation on a field data concerning variable gas quality and variable demand conditions in the gas transmission system. The impact of hydrogen injection to the pipeline system on gas properties and flow characteristics is illustrated by the third example involving analysis of short-term scheduling with gas quality control. The results show that variable gas quality has a significant influence on the pipeline system inventory and peak capacity as the gas mixture compounds change and energy wave is introduced to the pipeline system.

[1]  Andrea Lanzini,et al.  Greening the gas network - The need for modelling the distributed injection of alternative fuels , 2017 .

[2]  M. Chaczykowski,et al.  Transient flow in natural gas pipeline – The effect of pipeline thermal model , 2010 .

[3]  Andrzej J. Osiadacz,et al.  Comparison of isothermal and non-isothermal pipeline gas flow models , 2001 .

[4]  J. Michels,et al.  Effect of H2-injection on the thermodynamic and transportation properties of natural gas , 2004 .

[5]  Gerda Gahleitner Hydrogen from renewable electricity: An international review of power-to-gas pilot plants for stationary applications , 2013 .

[6]  Jan Fredrik Helgaker,et al.  Validation of 1D flow model for high pressure offshore natural gas pipelines , 2014 .

[7]  C F Colebrook,et al.  TURBULENT FLOW IN PIPES, WITH PARTICULAR REFERENCE TO THE TRANSITION REGION BETWEEN THE SMOOTH AND ROUGH PIPE LAWS. , 1939 .

[8]  Bernhard Müller,et al.  Transient Flow in Natural Gas Pipelines Using Implicit Finite Difference Schemes , 2014 .

[9]  Raphael Winkler-Goldstein,et al.  Power to Gas: The Final Breakthrough for the Hydrogen Economy? , 2013 .

[10]  Irfan Ahmad Gondal,et al.  Prospects of natural gas pipeline infrastructure in hydrogen transportation , 2012 .

[11]  S. Elaoud,et al.  Transient flow in pipelines of high-pressure hydrogen–natural gas mixtures , 2008 .

[12]  T. Hoeven Gas Quality Control In Simulation , 1998 .

[13]  William D'haeseleer,et al.  The use of the natural-gas pipeline infrastructure for hydrogen transport in a changing market structure , 2007 .

[14]  Javad Mahmoudimehr,et al.  Technical Assessment of Isothermal and Non-Isothermal Modelings of Natural Gas Pipeline Operational Conditions , 2012 .

[15]  Stefano Campanari,et al.  Dynamic modeling of natural gas quality within transport pipelines in presence of hydrogen injections , 2017 .

[16]  Jianzhong Wu,et al.  Steady state analysis of gas networks with distributed injection of alternative gas , 2016 .

[17]  Serge Domenech,et al.  Impact of hydrogen injection in natural gas infrastructures , 2007 .

[18]  William H. Press,et al.  Book-Review - Numerical Recipes in Pascal - the Art of Scientific Computing , 1989 .

[19]  Detlef Stolten,et al.  Power to Gas: Technological Overview, Systems Analysis and Economic Assessment , 2015 .

[20]  S. Elaoud,et al.  Effect of hydrogen injection into natural gas on the mechanical strength of natural gas pipelines during transportation , 2014 .

[21]  William D'haeseleer,et al.  Effects of large-scale power to gas conversion on the power, gas and carbon sectors and their interactions , 2015 .

[22]  F. Uilhoorn Dynamic behaviour of non-isothermal compressible natural gases mixed with hydrogen in pipelines , 2009 .

[23]  Roger Z. Ríos-Mercado,et al.  Optimization problems in natural gas transportation systems. A state-of-the-art review , 2015 .

[24]  Matteo C. Romano,et al.  Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment , 2015 .

[25]  Stefano Campanari,et al.  Dynamic Quality Tracking of Natural Gas and Hydrogen Mixture in a Portion of Natural Gas Grid , 2015 .

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

[27]  Pierluigi Mancarella,et al.  Storing renewables in the gas network: modelling of power-to-gas seasonal storage flexibility in low-carbon power systems , 2016 .

[28]  Jerry D. Murphy,et al.  Determining the regional potential for a grass biomethane industry , 2011 .

[29]  J. Bekkering,et al.  Optimisation of a green gas supply chain--a review. , 2010, Bioresource technology.

[30]  W. Wagner,et al.  The GERG-2008 Wide-Range Equation of State for Natural Gases and Other Mixtures: An Expansion of GERG-2004 , 2012 .

[31]  Michael J. Ryan,et al.  Methods For Performing Composition Tracking For Pipeline Networks , 1986 .

[32]  E. Benjamin Wylie,et al.  Unsteady-State Natural-Gas Calculations in Complex Pipe Systems , 1974 .

[33]  C. Bouallou,et al.  Parametric study of an efficient renewable power-to-substitute-natural-gas process including high-temperature steam electrolysis , 2014 .

[34]  G. P. Greyvenstein An implicit method for the analysis of transient flows in pipe networks , 2002 .

[35]  Marc A. Rosen,et al.  Integration of Wind Energy, Hydrogen and Natural Gas Pipeline Systems to Meet Community and Transportation Energy Needs: A Parametric Study , 2014 .

[36]  Hermann Hofbauer,et al.  Biomass gasification for synthesis gas production and applications of the syngas , 2014 .

[37]  M. Chaczykowski,et al.  Sensitivity of pipeline gas flow model to the selection of the equation of state , 2009 .

[38]  Pierluigi Mancarella,et al.  Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks , 2015, IEEE Transactions on Sustainable Energy.

[39]  L. Pibouleau,et al.  A mathematical framework for modelling and evaluating natural gas pipeline networks under hydrogen injection , 2008 .

[40]  Antonius Broekhuis,et al.  When does decentralized production of biogas and centralized upgrading and injection into the natural gas grid make sense , 2014 .

[41]  Tatsuhiko Kiuchi,et al.  An implicit method for transient gas flows in pipe networks , 1994 .

[42]  Tom van der Hoeven,et al.  Math in gas and the art of linearization , 2004 .

[43]  Bo Yu,et al.  Comparison study on the accuracy and efficiency of the four forms of hydraulic equation of a natural gas pipeline based on linearized solution , 2015 .

[44]  M. McLinden,et al.  NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, Version 8.0 , 2007 .

[45]  C. H. Tiley,et al.  Unsteady and transient flow of compressible fluids in pipelines—a review of theoretical and some experimental studies , 1987 .

[46]  D. Gottlieb,et al.  The Stability of Numerical Boundary Treatments for Compact High-Order Finite-Difference Schemes , 1993 .

[47]  Edris Ebrahimzadeh,et al.  Simulation of transient gas flow using the orthogonal collocation method , 2012 .

[48]  Xiaolin Zhong,et al.  High-Order Finite-Difference Schemes for Numerical Simulation of Hypersonic Boundary-Layer Transition , 1998 .

[49]  K. S. Chapman,et al.  Nonisothermal Transient Flow in Natural Gas Pipeline , 2008 .

[50]  D. Pinchbeck,et al.  Hydrogen admixture to the natural gas grid , 2016 .