IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v260y2022ics036054422201996x.html
   My bibliography  Save this article

An improved hydraulic model of gathering pipeline network integrating pressure-exchange ejector

Author

Listed:
  • Hong, Bingyuan
  • Li, Xiaoping
  • Li, Yu
  • Chen, Shilin
  • Tan, Yao
  • Fan, Di
  • Song, Shangfei
  • Zhu, Baikang
  • Gong, Jing

Abstract

Pressure-exchange ejector is a novel equipment to overcome the pressure mismatch in multi-pressure gathering pipeline network. Hydraulic simulation plays an important role in the safety monitoring and operation optimization of gathering pipeline network. However, there is currently no hydraulic simulation model of the gathering pipeline network with the pressure-exchange ejector. This paper proposes a steady-state hydraulic simulation model, which consists of pipeline network structure sub-model, pipeline flow sub-model, and pressure-exchange ejector sub-model. Pipe flow, mass balance and detailed characteristics of pressure-exchange ejector are taken into consideration in the model to determine the unknown pressure and flow parameters. The proposed model is solved by the Newton-Raphson iterative method and validated by experimental and field data. The installation schemes of pressure-ejector in a real-world gas field are determined by scenario analysis to improve gas field production. This study provides an analytical tool for multi-pressure gathering pipeline network and guidance for gas field production.

Suggested Citation

  • Hong, Bingyuan & Li, Xiaoping & Li, Yu & Chen, Shilin & Tan, Yao & Fan, Di & Song, Shangfei & Zhu, Baikang & Gong, Jing, 2022. "An improved hydraulic model of gathering pipeline network integrating pressure-exchange ejector," Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:energy:v:260:y:2022:i:c:s036054422201996x
    DOI: 10.1016/j.energy.2022.125101
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422201996X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125101?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abeysekera, M. & Wu, J. & Jenkins, N. & Rees, M., 2016. "Steady state analysis of gas networks with distributed injection of alternative gas," Applied Energy, Elsevier, vol. 164(C), pages 991-1002.
    2. Rueda, Cristina & Rodríguez, Pilar, 2010. "State space models for estimating and forecasting fertility," International Journal of Forecasting, Elsevier, vol. 26(4), pages 712-724, October.
    3. McCausland, William J. & Miller, Shirley & Pelletier, Denis, 2011. "Simulation smoothing for state-space models: A computational efficiency analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 199-212, January.
    4. Cavalieri, Francesco, 2017. "Steady-state flow computation in gas distribution networks with multiple pressure levels," Energy, Elsevier, vol. 121(C), pages 781-791.
    5. Marcos-Martinez, Raymundo & Measham, Thomas G. & Fleming-Muñoz, David A., 2019. "Economic impacts of early unconventional gas mining: Lessons from the coal seam gas industry in New South Wales, Australia," Energy Policy, Elsevier, vol. 125(C), pages 338-346.
    6. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Xiaoping & Yang, Qi & Xie, Xugang & Chen, Sihang & Pan, Chen & He, Zhouying & Gong, Jing & Hong, Bingyuan, 2023. "Spatiotemporal simulation of gas-liquid transport in the production process of continuous undulating pipelines," Energy, Elsevier, vol. 278(PA).
    2. Zhao, Yiming & Hu, Dapeng & Yu, Yang & Li, Haoran, 2023. "Study on gas wave ejector with a novel wave rotor applied in natural gas extraction," Energy, Elsevier, vol. 277(C).
    3. Koo, Bonchan & Chang, Seungjoon & Kwon, Hweeung, 2023. "Digital twin for natural gas infrastructure operation and management via streaming dynamic mode decomposition with control," Energy, Elsevier, vol. 274(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vadim Fetisov & Aleksey V. Shalygin & Svetlana A. Modestova & Vladimir K. Tyan & Changjin Shao, 2022. "Development of a Numerical Method for Calculating a Gas Supply System during a Period of Change in Thermal Loads," Energies, MDPI, vol. 16(1), pages 1-16, December.
    2. Cavalieri, Francesco, 2020. "Seismic risk assessment of natural gas networks with steady-state flow computation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    3. 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).
    4. Bermúdez, Alfredo & Shabani, Mohsen, 2022. "Numerical simulation of gas composition tracking in a gas transportation network," Energy, Elsevier, vol. 247(C).
    5. Kai Wen & Hailong Xu & Wei Qi & Haichuan Li & Yichen Li & Bingyuan Hong, 2023. "Heat Transfer Model of Natural Gas Pipeline Based on Data Feature Extraction and First Principle Models," Energies, MDPI, vol. 16(3), pages 1-21, January.
    6. Kolb, Sebastian & Plankenbühler, Thomas & Frank, Jonas & Dettelbacher, Johannes & Ludwig, Ralf & Karl, Jürgen & Dillig, Marius, 2021. "Scenarios for the integration of renewable gases into the German natural gas market – A simulation-based optimisation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Chan, Joshua C.C. & Santi, Caterina, 2021. "Speculative bubbles in present-value models: A Bayesian Markov-switching state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    8. Liu, Wei-han, 2016. "A re-examination of maturity effect of energy futures price from the perspective of stochastic volatility," Energy Economics, Elsevier, vol. 56(C), pages 351-362.
    9. Adrian Neacsa & Cristian Nicolae Eparu & Cașen Panaitescu & Doru Bogdan Stoica & Bogdan Ionete & Alina Prundurel & Sorin Gal, 2023. "Hydrogen–Natural Gas Mix—A Viable Perspective for Environment and Society," Energies, MDPI, vol. 16(15), pages 1-38, August.
    10. Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
    11. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    12. Zhang, Bo & Chan, Joshua C.C. & Cross, Jamie L., 2020. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1318-1328.
    13. Chan, Joshua C.C., 2013. "Moving average stochastic volatility models with application to inflation forecast," Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
    14. Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
    15. de Vries, Harmen & Mokhov, Anatoli V. & Levinsky, Howard B., 2017. "The impact of natural gas/hydrogen mixtures on the performance of end-use equipment: Interchangeability analysis for domestic appliances," Applied Energy, Elsevier, vol. 208(C), pages 1007-1019.
    16. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    17. repec:bny:wpaper:0100 is not listed on IDEAS
    18. Stavros Kalogiannidis, 2020. "Impact of Plant Closures on Urban and Regional Communities: A Case Study of South Australian Gas Industry and its Workers," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 994-1010.
    19. Ali Ekhtiari & Damian Flynn & Eoin Syron, 2020. "Investigation of the Multi-Point Injection of Green Hydrogen from Curtailed Renewable Power into a Gas Network," Energies, MDPI, vol. 13(22), pages 1-21, November.
    20. Romeo, Luis M. & Cavana, Marco & Bailera, Manuel & Leone, Pierluigi & Peña, Begoña & Lisbona, Pilar, 2022. "Non-stoichiometric methanation as strategy to overcome the limitations of green hydrogen injection into the natural gas grid," Applied Energy, Elsevier, vol. 309(C).
    21. Peter Knaus & Sylvia Fruhwirth-Schnatter, 2023. "The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models," Papers 2312.10487, arXiv.org.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:260:y:2022:i:c:s036054422201996x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.