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An optimized design of residential integrated energy system considering the power-to-gas technology with multi-functional characteristics

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  • Zhang, Dongdong
  • Zhu, Hongyu
  • Zhang, Hongcai
  • Goh, Hui Hwang
  • Liu, Hui
  • Wu, Thomas

Abstract

In order to realize the large-scale and normal implementation of power-to-gas technology, as well as the large-capacity storage and long-distance transportation of gas in the later stage of electric hydrogen production, a power-to-gas technology with real-time energy conversion characteristics and large-scale energy storage characteristics is studied in this paper. Firstly, the water-electricity-gas coupling process between the electrolytic cell and the methanation reactor in the power-to-gas system is discussed in detail, and the model of the power-to-gas system based on the coordination of real-time energy conversion and large-scale energy storage is proposed. Then, based on a multi-energy coupling regional integrated energy system, a highly decoupled multi-step modelling method is adopted to construct its optimal operation model, and the equivalent variable substitution method is used to transform it into a linear programming problem. Finally, the calculation results show that the proposed power-to-gas technology can further improve the energy utilization efficiency due to the complementary characteristics of the two functions, so as to effectively promote the implementation of large-scale power-to-gas projects in the future.

Suggested Citation

  • Zhang, Dongdong & Zhu, Hongyu & Zhang, Hongcai & Goh, Hui Hwang & Liu, Hui & Wu, Thomas, 2022. "An optimized design of residential integrated energy system considering the power-to-gas technology with multi-functional characteristics," Energy, Elsevier, vol. 238(PA).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221020223
    DOI: 10.1016/j.energy.2021.121774
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    2. Athanasios Ioannis Arvanitidis & Vivek Agarwal & Miltiadis Alamaniotis, 2023. "Nuclear-Driven Integrated Energy Systems: A State-of-the-Art Review," Energies, MDPI, vol. 16(11), pages 1-23, May.
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    7. Zhou, Kaile & Fei, Zhineng & Hu, Rong, 2023. "Hybrid robust decentralized optimization of emission-aware multi-energy microgrids considering multiple uncertainties," Energy, Elsevier, vol. 265(C).
    8. Min Wu & Wuhua Chen & Xiaohong Tian, 2022. "Optimal Energy Consumption Path Planning for Quadrotor UAV Transmission Tower Inspection Based on Simulated Annealing Algorithm," Energies, MDPI, vol. 15(21), pages 1-17, October.
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