IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i16p4243-d1721113.html

Impact of Compressor Station Availability on the Techno-Economics of Natural Gas Pipeline Transportation

Author

Listed:
  • Oluwatayo Babatope Ojo

    (Centre for Propulsion and Thermal Power Engineering, Cranfield University, Cranfield, Bedford MK43 0AL, UK)

  • Abdelrahman Hegab

    (Centre for Propulsion and Thermal Power Engineering, Cranfield University, Cranfield, Bedford MK43 0AL, UK)

  • Pericles Pilidis

    (Centre for Propulsion and Thermal Power Engineering, Cranfield University, Cranfield, Bedford MK43 0AL, UK)

Abstract

This study aims to examine the impact of compressor station availability on the techno-economic aspects of natural gas pipeline transportation, using the proposed Trans-Saharan Gas Pipeline (TSGP) project as a case study. A scenario-based technical and economic analysis was conducted to highlight the economic sensitivities of the systems to availability. The economic assessment of the project was performed using a discounted cash flow method, considering lifecycle costs. The techno-economic model was developed using MATLAB R2020b, accounting for variations in ambient temperatures at the compressor station under different flow conditions. Findings indicate an 8.41% increase in project lifecycle cost in one scenario compared to the baseline, assuming a 15% discount rate. However, the baseline case with a 100% compressor station availability assumption appears unrealistic, as shown by its lifecycle cost and net present value estimates. This is because constant operating conditions throughout the project lifecycle are impossible. Additionally, when station availability increases by 7.87% and the cost of standby units rises by 10.24%, avoided income loss due to station unavailability increases by 14.06%. This reveals a trade-off between the extra capital expenditure on standby units and the savings from avoiding income loss. Furthermore, the impact of 2% and 4% escalation rates of fuel and maintenance costs on lifecycle costs results in a rise of 2.70% and 6.15%, respectively, in one scenario compared to the 0% escalation rate. The results demonstrate the significant influence of compressor station availability analysis on pipeline projects, particularly in reducing engine downtime costs and enhancing project revenue. Therefore, the methods presented here help in understanding the importance of compressor station availability in pipeline techno-economics, leading to more effective resource and financial management.

Suggested Citation

  • Oluwatayo Babatope Ojo & Abdelrahman Hegab & Pericles Pilidis, 2025. "Impact of Compressor Station Availability on the Techno-Economics of Natural Gas Pipeline Transportation," Energies, MDPI, vol. 18(16), pages 1-28, August.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4243-:d:1721113
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/16/4243/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/16/4243/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aretakis, N. & Roumeliotis, I. & Doumouras, G. & Mathioudakis, K., 2012. "Compressor washing economic analysis and optimization for power generation," Applied Energy, Elsevier, vol. 95(C), pages 77-86.
    2. Arya, Adarsh Kumar & Kumar, Adarsh & Pujari, Murali & Pacheco, Diego A.de J., 2023. "Improving natural gas supply chain profitability: A multi-methods optimization study," Energy, Elsevier, vol. 282(C).
    3. Xiong, Zhiyi & Liu, Yuhui & Cai, Yongjun & Chang, Weichun & Wang, Ziqiang & Li, Zhenlin & Peng, Shiyao, 2025. "Research on the effect of green hydrogen blending on natural gas centrifugal compressor performance," Renewable Energy, Elsevier, vol. 242(C).
    4. Zhou, Jun & Qin, Can & Fu, Tiantian & Liu, Shitao & Liang, Guangchuan & Li, Cuicui & Hong, Bingyuan, 2024. "Automatic response framework for large complex natural gas pipeline operation optimization based on data-mechanism hybrid-driven," Energy, Elsevier, vol. 307(C).
    5. Parker, Nathan, 2004. "Using Natural Gas Transmission Pipeline Costs to Estimate Hydrogen Pipeline Costs," Institute of Transportation Studies, Working Paper Series qt9m40m75r, Institute of Transportation Studies, UC Davis.
    6. Parker, Nathan, 2004. "Using Natural Gas Transmission Pipeline Costs to Estimate Hydrogen Pipeline Costs," Institute of Transportation Studies, Working Paper Series qt2gk0j8kq, Institute of Transportation Studies, UC Davis.
    7. Xuejie Li & Yuan Xue & Yuxing Li & Qingshan Feng, 2022. "An Optimization Method for a Compressor Standby Scheme Based on Reliability Analysis," Energies, MDPI, vol. 15(21), pages 1-16, November.
    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. Martinez-Rodriguez, Miguel & Chyong, Chi Kong & Fitzgerald, Timothy & Vazquez, Miguel & Hidalgo, Antonio, 2026. "Pipeline regulation for hydrogen: choosing between paths and networks," Energy Policy, Elsevier, vol. 208(C).
    2. Olateju, Babatunde & Kumar, Amit, 2013. "Techno-economic assessment of hydrogen production from underground coal gasification (UCG) in Western Canada with carbon capture and sequestration (CCS) for upgrading bitumen from oil sands," Applied Energy, Elsevier, vol. 111(C), pages 428-440.
    3. Lin, Zhenhong & Fan, Yueyue & Ogden, Joan M & Chen, Chien-Wei, 2008. "Optimized Pathways for Regional H2 Infrastructure Transitions: A Case Study for Southern California," Institute of Transportation Studies, Working Paper Series qt9mk5n8jn, Institute of Transportation Studies, UC Davis.
    4. Hamidzadeh, Zeinab & Sattari, Sourena & Soltanieh, Mohammad & Vatani, Ali, 2020. "Development of a multi-objective decision-making model to recover flare gases in a multi flare gases zone," Energy, Elsevier, vol. 203(C).
    5. Nhuchhen, Daya R. & Sit, Song P. & Layzell, David B., 2022. "Decarbonization of cement production in a hydrogen economy," Applied Energy, Elsevier, vol. 317(C).
    6. Myers Jaffe , Amy & Dominguez-Faus , Rosa & Ogden, Joan & Parker, Nathan C. & Scheitrum , Daniel & McDonald, Zane & Fan , Yueyue & Durbin , Tom & Karavalakis, George & Wilcock, Justin & Miller , Marsh, 2017. "The Potential to Build Current Natural Gas Infrastructure to Accommodate the Future Conversion to Near-Zero Transportation Technology," Institute of Transportation Studies, Working Paper Series qt2tp3n5pm, Institute of Transportation Studies, UC Davis.
    7. Parker, Nathan C, 2007. "Optimizing the Design of Biomass Hydrogen Supply Chains Using Real-World Spatial Distributions: A Case Study Using California Rice Straw," Institute of Transportation Studies, Working Paper Series qt8sp9n37c, Institute of Transportation Studies, UC Davis.
    8. Bastian Wei{ss}enburger & Lukas Karkossa & Annegret Stephan & Russell McKenna, 2025. "Location matters: Exploring the effects of regional geographical and political characteristics on hydrogen pipeline costs globally," Papers 2505.01124, arXiv.org.
    9. Jarvis, Sean M. & Samsatli, Sheila, 2018. "Technologies and infrastructures underpinning future CO2 value chains: A comprehensive review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 85(C), pages 46-68.
    10. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2023. "Socio-technical barriers to domestic hydrogen futures: Repurposing pipelines, policies, and public perceptions," Applied Energy, Elsevier, vol. 336(C).
    11. McCollum, David L & Ogden, Joan M, 2006. "Techno-Economic Models for Carbon Dioxide Compression, Transport, and Storage & Correlations for Estimating Carbon Dioxide Density and Viscosity," Institute of Transportation Studies, Working Paper Series qt1zg00532, Institute of Transportation Studies, UC Davis.
    12. Tarufelli, Brittany & Snyder, Brian & Dismukes, David, 2021. "The Potential Impact of the U.S. Carbon Capture and Storage Tax Credit Expansion on the Economic Feasibility of Industrial Carbon Capture and Storage," Energy Policy, Elsevier, vol. 149(C).
    13. Olateju, Babatunde & Kumar, Amit, 2016. "A techno-economic assessment of hydrogen production from hydropower in Western Canada for the upgrading of bitumen from oil sands," Energy, Elsevier, vol. 115(P1), pages 604-614.
    14. Zhang, Qi & Liu, Jiangfeng & Wang, Ge & Gao, Zhihui, 2024. "A new optimization model for carbon capture utilization and storage (CCUS) layout based on high-resolution geological variability," Applied Energy, Elsevier, vol. 363(C).
    15. Samsatli, Sheila & Samsatli, Nouri J., 2019. "The role of renewable hydrogen and inter-seasonal storage in decarbonising heat – Comprehensive optimisation of future renewable energy value chains," Applied Energy, Elsevier, vol. 233, pages 854-893.
    16. Bondita Robidas & Subrata Borgohain Gogoi, 2024. "Economic analysis of transportation of crude oil of Upper Assam Basin through pipeline," SN Business & Economics, Springer, vol. 4(8), pages 1-30, August.
    17. Lin, Zhenhong & Chen, Chien-Wei & Fan, Yueyue & Ogden, Joan M., 2008. "Optimized Pathways for Regional H2 Infrastructure Transitions: The Least-Cost Hydrogen for Southern California," Institute of Transportation Studies, Working Paper Series qt0333714s, Institute of Transportation Studies, UC Davis.
    18. van der Zwaan, B.C.C. & Schoots, K. & Rivera-Tinoco, R. & Verbong, G.P.J., 2011. "The cost of pipelining climate change mitigation: An overview of the economics of CH4, CO2 and H2 transportation," Applied Energy, Elsevier, vol. 88(11), pages 3821-3831.
    19. Sovacool, Benjamin K., 2009. "Energy policy and cooperation in Southeast Asia: The history, challenges, and implications of the trans-ASEAN gas pipeline (TAGP) network," Energy Policy, Elsevier, vol. 37(6), pages 2356-2367, June.
    20. Heeyeon Lee & Sanghun Lee, 2022. "Economic Analysis on Hydrogen Pipeline Infrastructure Establishment Scenarios: Case Study of South Korea," Energies, MDPI, vol. 15(18), pages 1-13, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jeners:v:18:y:2025:i:16:p:4243-:d:1721113. 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.