IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13604-d1237930.html
   My bibliography  Save this article

Gas Leakage Identification and Prevention by Pressure Profiling for Sustainable Supply of Natural Gas

Author

Listed:
  • Tahir Javed Butt

    (Faculty of Mechanical Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Muhammad Amjad

    (Faculty of Mechanical Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Syed Farhan Raza

    (Faculty of Mechanical Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

  • Fahid Riaz

    (Mechanical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates)

  • Shafiq Ahmad

    (Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

  • Mali Abdollahian

    (School of Science, College of Sciences, Technology, Engineering, Mathematics, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia)

Abstract

In the strive for an environmentally conscious energy sector, a sustainable supply of natural gas necessitates comprehensive strategies that prioritise the prevention of gas leakages, ensuring minimal ecological harm while harnessing the benefits of this valuable resource. Though all sectors are putting their efforts into coping with the problems associated with the energy crisis, one of the many ways is to reduce distribution losses, particularly in the gas sector. The loss impacts include methane escaping to the environment to affect ozone, direct financial loss, non-availability of gas to the domestic, commercial, and industrial sectors, public safety hazards and indirect environmental impacts. There is a dire need to improve the natural gas distribution system, which has its own insight problems to be addressed. This work aims to investigate leakages in domestic, commercial and industrial gas distribution lines with different times, volumes and pressures using a pressure profiling technique. As a result of this investigation, around 293 million cubic feet (MMCF) of natural gas is saved, which is enough volume to feed approximately 16,000 domestic consumers for 365 days. The same energy content is equivalent to 21 million pounds of coal, which emits 64 million pounds of carbon dioxide, whereas natural gas would have 50% less CO 2 emissions, and that is apart from the tangible pollution and waste associated with the use of coal.

Suggested Citation

  • Tahir Javed Butt & Muhammad Amjad & Syed Farhan Raza & Fahid Riaz & Shafiq Ahmad & Mali Abdollahian, 2023. "Gas Leakage Identification and Prevention by Pressure Profiling for Sustainable Supply of Natural Gas," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13604-:d:1237930
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13604/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13604/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zain Bashir & Muhammad Amjad & Syed Farhan Raza & Shafiq Ahmad & Mali Abdollahian & Muhammad Farooq, 2023. "Investigating the Impact of Shifting the Brick Kiln Industry from Conventional to Zigzag Technology for a Sustainable Environment," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    2. Erik Gawel & Nadine Pannicke & Nina Hagemann, 2019. "A Path Transition Towards a Bioeconomy—The Crucial Role of Sustainability," Sustainability, MDPI, vol. 11(11), pages 1-23, May.
    3. J. Lelieveld & S. Lechtenböhmer & S. S. Assonov & C. A. M. Brenninkmeijer & C. Dienst & M. Fischedick & T. Hanke, 2005. "Low methane leakage from gas pipelines," Nature, Nature, vol. 434(7035), pages 841-842, April.
    4. Zhang, Y. & Weng, W.G., 2020. "Bayesian network model for buried gas pipeline failure analysis caused by corrosion and external interference," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    5. Zhang, Xiaochun & Myhrvold, Nathan P. & Hausfather, Zeke & Caldeira, Ken, 2016. "Climate benefits of natural gas as a bridge fuel and potential delay of near-zero energy systems," Applied Energy, Elsevier, vol. 167(C), pages 317-322.
    Full references (including those not matched with items on IDEAS)

    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. Maria Lourdes Ordoñez Olivo & Zoltán Lakner, 2023. "Shaping the Knowledge Base of Bioeconomy Sectors Development in Latin American and Caribbean Countries: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    2. Liu, Aihua & Chen, Ke & Huang, Xiaofei & Li, Didi & Zhang, Xiaochun, 2021. "Dynamic risk assessment model of buried gas pipelines based on system dynamics," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Zhaoming Yang & Qi Xiang & Yuxuan He & Shiliang Peng & Michael Havbro Faber & Enrico Zio & Lili Zuo & Huai Su & Jinjun Zhang, 2023. "Resilience of Natural Gas Pipeline System: A Review and Outlook," Energies, MDPI, vol. 16(17), pages 1-19, August.
    4. Hassan, Shamsu & Wang, Jin & Kontovas, Christos & Bashir, Musa, 2022. "An assessment of causes and failure likelihood of cross-country pipelines under uncertainty using bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    5. Fan, Xudong & Wang, Xiaowei & Zhang, Xijin & ASCE Xiong (Bill) Yu, P.E.F., 2022. "Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    6. Huang, Bao-Cheng & Li, Wen-Wei & Wang, Xu & Lu, Yan & Yu, Han-Qing, 2019. "Customizing anaerobic digestion-coupled processes for energy-positive and sustainable treatment of municipal wastewater," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 132-142.
    7. Zhang, Qiongfang & Xu, Nan & Ersoy, Daniel & Liu, Yongming, 2022. "Manifold-based Conditional Bayesian network for aging pipe yield strength estimation with non-destructive measurements," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    8. Tao, Haohan & Jia, Peng & Wang, Xiangyu & Wang, Liquan, 2024. "Reliability analysis of subsea control module based on dynamic Bayesian network and digital twin," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    9. Ayrapetyan, David & Hermans, Frans, 2020. "Introducing a multiscalar framework for biocluster research: A meta-analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(9).
    10. Bibartiu, Otto & Dürr, Frank & Rothermel, Kurt & Ottenwälder, Beate & Grau, Andreas, 2021. "Scalable k-out-of-n models for dependability analysis with Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    11. Kemfert, Claudia & Präger, Fabian & Braunger, Isabell & Hoffart, Franziska M. & Brauers, Hanna, 2022. "The expansion of natural gas infrastructure puts energy transitions at risk," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7, pages 582-587.
    12. Wang, Zhihao & Sharafian, Amir & Mérida, Walter, 2020. "Non-equilibrium thermodynamic model for liquefied natural gas storage tanks," Energy, Elsevier, vol. 190(C).
    13. Kis, Zoltán & Pandya, Nikul & Koppelaar, Rembrandt H.E.M., 2018. "Electricity generation technologies: Comparison of materials use, energy return on investment, jobs creation and CO2 emissions reduction," Energy Policy, Elsevier, vol. 120(C), pages 144-157.
    14. Wang, Jingfan & Ji, Jingwei & Ravikumar, Arvind P. & Savarese, Silvio & Brandt, Adam R., 2022. "VideoGasNet: Deep learning for natural gas methane leak classification using an infrared camera," Energy, Elsevier, vol. 238(PB).
    15. Zeug, Walther & Bezama, Alberto & Thrän, Daniela, 2020. "Towards a holistic and integrated Life Cycle Sustainability Assessment of the bioeconomy: Background on concepts, visions and measurements," UFZ Discussion Papers 7/2020, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    16. Liu, Liuchen & Zhu, Tong & Pan, Yu & Wang, Hai, 2017. "Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China," Applied Energy, Elsevier, vol. 192(C), pages 329-336.
    17. Ruiz-Tagle, Andres & Lewis, Austin D. & Schell, Colin A. & Lever, Ernest & Groth, Katrina M., 2022. "BaNTERA: A Bayesian Network for Third-Party Excavation Risk Assessment," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    18. Chen, S.J. & Tao, Z.C. & Fu, Y. & Zhu, M. & Li, W.L. & Li, X.D., 2017. "CO2 separation from offshore natural gas in quiescent and flowing states using 13X zeolite," Applied Energy, Elsevier, vol. 205(C), pages 1435-1446.
    19. Franziska Hesser & Daniela Groiß-Fürtner & Leona Woitsch & Claudia Mair-Bauernfeind, 2023. "Ex-Ante Eco-Efficiency Assessment of Dendromass Production: Conception and Experiences of an Innovation Project," Land, MDPI, vol. 12(4), pages 1-16, April.
    20. Umeozor, Evar C. & Jordaan, Sarah M. & Gates, Ian D., 2018. "On methane emissions from shale gas development," Energy, Elsevier, vol. 152(C), pages 594-600.

    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:gam:jsusta:v:15:y:2023:i:18:p:13604-:d:1237930. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.