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Implementing hydrogen injection in coal-dominated regions: Supply chain optimisation and reliability analysis

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  • Wang, Bohong
  • Klemeš, Jiří Jaromír
  • Liang, Yongtu
  • Yuan, Meng
  • Zhang, Haoran
  • Liu, Jiayi

Abstract

In coal-dominated regions, hydrogen by-product from refineries can be used to replace coal as heating fuel. This can be a viable method for reducing CO2 emissions. Given that hydrogen injection into existing natural gas pipeline networks is an economical way to utilise this clean gas, this paper explores its benefits by studying its supply chain optimisation and analysing its reliability. First, a mixed-integer linear programming model is developed to minimise transport and dissatisfaction costs. Material balance, supply and transport of natural gas, operation of pipeline networks, and hydrogen injection are considered as constraints. The operating plans of a regional natural gas supply chain (NGSC), with and without hydrogen injection, are optimised. Then, three types of indicators – economic indices, coal and hydrogen as percentages of total energy consumption, and CO2 emissions – are applied to compare the performance of the NGSC in different situations. A case verifies the proposed model and shows the influence of utilising hydrogen in an NGSC. The optimal operating plans under one standard and two non-standard conditions are calculated, and the reliability of the supply chain is analysed. Results illustrate that injecting hydrogen in the NGSC is beneficial in reducing CO2 emissions and operating costs.

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  • Wang, Bohong & Klemeš, Jiří Jaromír & Liang, Yongtu & Yuan, Meng & Zhang, Haoran & Liu, Jiayi, 2020. "Implementing hydrogen injection in coal-dominated regions: Supply chain optimisation and reliability analysis," Energy, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:energy:v:201:y:2020:i:c:s0360544220306721
    DOI: 10.1016/j.energy.2020.117565
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    Cited by:

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    2. Shuxia Yang & Shengjiang Peng & Xianzhang Ling, 2021. "Discussion on the Feasibility of the Integration of Wind Power and Coal Chemical Industries for Hydrogen Production," Sustainability, MDPI, vol. 13(21), pages 1-14, October.
    3. Wang, Guotao & Liao, Qi & Wang, Chang & Liang, Yongtu & Zhang, Haoran, 2022. "Multiperiod optimal planning of biofuel refueling stations: A bi-level game-theoretic approach," Renewable Energy, Elsevier, vol. 200(C), pages 1152-1165.
    4. Seferlis, Panos & Varbanov, Petar Sabev & Papadopoulos, Athanasios I. & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2021. "Sustainable design, integration, and operation for energy high-performance process systems," Energy, Elsevier, vol. 224(C).
    5. Xu, Yifan & Ji, Mengmeng & Klemeš, Jiří Jaromír & Tao, Hengcong & Zhu, Baikang & Varbanov, Petar Sabev & Yuan, Meng & Wang, Bohong, 2023. "Optimal renewable energy export strategies of islands: Hydrogen or electricity?," Energy, Elsevier, vol. 269(C).
    6. Tian, Xiaoge & Chen, Weiming & Hu, Jinglu, 2023. "Game-theoretic modeling of power supply chain coordination under demand variation in China: A case study of Guangdong Province," Energy, Elsevier, vol. 262(PA).

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