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Simulation of natural gas quality distribution for pipeline systems

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  • Chaczykowski, Maciej
  • Zarodkiewicz, Paweł

Abstract

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.

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  • Chaczykowski, Maciej & Zarodkiewicz, Paweł, 2017. "Simulation of natural gas quality distribution for pipeline systems," Energy, Elsevier, vol. 134(C), pages 681-698.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:681-698
    DOI: 10.1016/j.energy.2017.06.020
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    6. Zhou, Dengji & Jia, Xingyun & Ma, Shixi & Shao, Tiemin & Huang, Dawen & Hao, Jiarui & Li, Taotao, 2022. "Dynamic simulation of natural gas pipeline network based on interpretable machine learning model," Energy, Elsevier, vol. 253(C).
    7. Fan, Di & Gong, Jing & Zhang, Shengnan & Shi, Guoyun & Kang, Qi & Xiao, Yaqi & Wu, Changchun, 2021. "A transient composition tracking method for natural gas pipe networks," Energy, Elsevier, vol. 215(PA).
    8. Danieli, Piero & Lazzaretto, Andrea & Al-Zaili, Jafar & Sayma, Abdulnaser & Masi, Massimo & Carraro, Gianluca, 2022. "The potential of the natural gas grid to accommodate hydrogen as an energy vector in transition towards a fully renewable energy system," Applied Energy, Elsevier, vol. 313(C).
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    10. Bao, Shiyuan & Yang, Zhifang & Yu, Juan & Dai, Wei & Guo, Lin & Yu, Hongxin, 2019. "Probabilistic energy flow and risk assessment of Electricity–Gas systems considering the thermodynamic process," Energy, Elsevier, vol. 189(C).
    11. Dancker, Jonte & Wolter, Martin, 2022. "A coupled transient gas flow calculation with a simultaneous calorific-value-gradient improved hydrogen tracking," Applied Energy, Elsevier, vol. 316(C).
    12. Cavana, Marco & Mazza, Andrea & Chicco, Gianfranco & Leone, Pierluigi, 2021. "Electrical and gas networks coupling through hydrogen blending under increasing distributed photovoltaic generation," Applied Energy, Elsevier, vol. 290(C).
    13. Vasyl Zapukhliak & Lyubomyr Poberezhny & Pavlo Maruschak & Volodymyr Grudz Jr. & Roman Stasiuk & Janette Brezinová & Anna Guzanová, 2019. "Mathematical Modeling of Unsteady Gas Transmission System Operating Conditions under Insufficient Loading," Energies, MDPI, vol. 12(7), pages 1-14, April.
    14. Qi, Shikun & Zhao, Wei & Qiu, Rui & Liu, Chunying & Li, Zhuochao & Lan, Hao & Liang, Yongtu, 2023. "Capacity allocation method of hydrogen-blending natural gas pipeline network based on bilevel optimization," Energy, Elsevier, vol. 285(C).
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