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Research on Urban Bearing Capacity of Gas Supply Stations

Author

Listed:
  • Xin Tan

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Penglin Zhang

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Junqiang Wang

    (China Special Equipment Inspection and Research Institute, Beijing 100029, China)

  • Jiewen Hong

    (School of Journalism and Communication, Wuhan University, Wuhan 430079, China)

Abstract

Given the continuous optimisation of the energy structure, the proportion of natural gas consumption in China increases annually, the urban gas pipeline network continues to extend outward, and the supply range continues to expand. Although an increasing number of users can use natural gas, the coverage of the natural gas pipeline network remains low in some areas in China. A “point supply” pattern, which provides gas through liquefied natural gas (LNG), compressed natural gas (CNG) and liquefied petroleum gas (LPG) supply stations, has been developed to solve the problem of gas unavailability in areas not covered by the pipeline network. This pattern flexibly supplies gas, whose cost is low and market determined. Thus, the substantial development of these gas supply stations has been promoted. This pattern will continue to play an important role in the future. However, no unified standards for the construction of these gas supply stations have been provided, resulting in various problems, such as unreasonable location, inadequate management, potential risk and imbalance between supply and demand. On the basis of these concerns, this research attempts to study the urban bearing capacity of gas supply stations, provide some new ideas for the construction and planning of urban gas supply stations, and help promote sustainable urban development. The pressure–state–response model is adjusted to the pressure–state–capability model, which is used as a basis for proposing an evaluation index system and calculation models for the comprehensive evaluation of the urban bearing capacity of gas supply stations on city and country scales. The proposed methodology is used in a case study of urban agglomerations in the Yangtze River Delta.

Suggested Citation

  • Xin Tan & Penglin Zhang & Junqiang Wang & Jiewen Hong, 2019. "Research on Urban Bearing Capacity of Gas Supply Stations," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6971-:d:295066
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    References listed on IDEAS

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    1. Hugo Pinto & João Guerreiro, 2010. "Innovation regional planning and latent dimensions: the case of the Algarve region," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(2), pages 315-329, April.
    2. Michel Noussan & Benedetto Nastasi, 2018. "Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation," Energies, MDPI, vol. 11(1), pages 1-15, January.
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    1. Kazimierz Lejda & Artur Jaworski & Maksymilian Mądziel & Krzysztof Balawender & Adam Ustrzycki & Danylo Savostin-Kosiak, 2021. "Assessment of Petrol and Natural Gas Vehicle Carbon Oxides Emissions in the Laboratory and On-Road Tests," Energies, MDPI, vol. 14(6), pages 1-19, March.
    2. Ruyang Yin & Peixia Lu, 2022. "A Cluster-First Route-Second Constructive Heuristic Method for Emergency Logistics Scheduling in Urban Transport Networks," Sustainability, MDPI, vol. 14(4), pages 1-12, February.
    3. Bożena Kukfisz & Aneta Kuczyńska & Robert Piec & Barbara Szykuła-Piec, 2022. "Research on the Safety and Security Distance of Above-Ground Liquefied Gas Storage Tanks and Dispensers," IJERPH, MDPI, vol. 19(2), pages 1-11, January.

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