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Low-Carbon Transition Pathway Planning of Regional Power Systems with Electricity-Hydrogen Synergy

Author

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  • Liang Ran

    (School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Yaling Mao

    (School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Tiejiang Yuan

    (School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Guofeng Li

    (School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

Hydrogen energy leads us in an important direction in the development of clean energy, and the comprehensive utilization of hydrogen energy is crucial for the low-carbon transformation of the power sector. In this paper, the demand for hydrogen energy in various fields is predicted based on the support vector regression algorithm, which can be converted into an equivalent electrical load when it is all produced from water electrolysis. Then, the investment costs of power generators and hydrogen energy equipment are forecast considering uncertainty. Furthermore, a planning model is established with the forecast data, initial installed capacity and targets for carbon emission reduction as inputs, and the installed capacity as well as share of various power supply and annual carbon emissions as outputs. Taking Gansu Province of China as an example, the changes of power supply structure and carbon emissions under different scenarios are analysed. It can be found that hydrogen production through water electrolysis powered by renewable energy can reduce carbon emissions but will increase the demand for renewable energy generators. Appropriate planning of hydrogen storage can reduce the overall investment cost and promote a low carbon transition of the power system.

Suggested Citation

  • Liang Ran & Yaling Mao & Tiejiang Yuan & Guofeng Li, 2022. "Low-Carbon Transition Pathway Planning of Regional Power Systems with Electricity-Hydrogen Synergy," Energies, MDPI, vol. 15(22), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8764-:d:979700
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    References listed on IDEAS

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    1. Jingsi Huang & Wei Li & Xiangyu Wu, 2022. "Forecasting the Hydrogen Demand in China: A System Dynamics Approach," Mathematics, MDPI, vol. 10(2), pages 1-24, January.
    2. Parra, David & Valverde, Luis & Pino, F. Javier & Patel, Martin K., 2019. "A review on the role, cost and value of hydrogen energy systems for deep decarbonisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 279-294.
    3. Pan, Guangsheng & Gu, Wei & Qiu, Haifeng & Lu, Yuping & Zhou, Suyang & Wu, Zhi, 2020. "Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen," Applied Energy, Elsevier, vol. 270(C).
    4. Aunedi, Marko & Yliruka, Maria & Dehghan, Shahab & Pantaleo, Antonio Marco & Shah, Nilay & Strbac, Goran, 2022. "Multi-model assessment of heat decarbonisation options in the UK using electricity and hydrogen," Renewable Energy, Elsevier, vol. 194(C), pages 1261-1276.
    5. Xue-Bo Jin & Wei-Zhen Zheng & Jian-Lei Kong & Xiao-Yi Wang & Yu-Ting Bai & Ting-Li Su & Seng Lin, 2021. "Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization," Energies, MDPI, vol. 14(6), pages 1-18, March.
    6. Lin, Rui & Lu, Ying & Xu, Ji & Huo, Jiawei & Cai, Xin, 2022. "Investigation on performance of proton exchange membrane electrolyzer with different flow field structures," Applied Energy, Elsevier, vol. 326(C).
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    Cited by:

    1. Cheng, Guishi & Luo, Ercheng & Zhao, Ying & Yang, Yihao & Chen, Binbin & Cai, Youcheng & Wang, Xiaoqiang & Dong, Changqing, 2023. "Analysis and prediction of green hydrogen production potential by photovoltaic-powered water electrolysis using machine learning in China," Energy, Elsevier, vol. 284(C).
    2. Rusin, Andrzej & Wojaczek, Adam, 2023. "Changes in the structure of the Polish energy mix in the transition period to ensure the safety and reliability of energy supplies," Energy, Elsevier, vol. 282(C).

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