IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v318y2025ics0360544225004700.html
   My bibliography  Save this article

Economic effects analysis model of electro-hydrogen coupling system under energy internet in China

Author

Listed:
  • Liu, Jicheng
  • Lu, Chaoran
  • Ma, Xuying
  • Yang, Xu
  • Sun, Jiakang
  • Wang, Yan

Abstract

To realize the efficient and economic consumption of new energy in the multi-energy complementary system, this paper studies the economic effects of the multi-energy coupling system based on the perspective of the value chain, and constructs a complex value chain system with wind and solar power subsystem and thermal-hybrid energy storage subsystem as the key subsystems—electro-hydrogen coupling system (EHCS). Firstly, a value co-creation analysis framework to promote the economic effects of EHCS under the energy internet is analyzed. Secondly, a bi-level model to optimize capacity allocation and operations is constructed. Based on the typical scenarios generated by R-Vine Copula function and K-medoids, the upper determines capacity allocation with maximum net benefit. The lower level combines the operating characteristics of THESS to minimize the operating cost and wind and solar curtailment. The bi-level optimization is solved by GUROBI and MOBWO-VIKOR method. Finally, case studies are conducted to verify the validity and feasibility of the model. The results show that the proposed model can achieve new energy consumption of 97.5 % while the net benefit to 1270.18 billion CNY and reduce the operating costs over the planning period. This study can provide useful suggestions for the investment and construction of multi-energy coupling projects.

Suggested Citation

  • Liu, Jicheng & Lu, Chaoran & Ma, Xuying & Yang, Xu & Sun, Jiakang & Wang, Yan, 2025. "Economic effects analysis model of electro-hydrogen coupling system under energy internet in China," Energy, Elsevier, vol. 318(C).
    • Handle: RePEc:eee:energy:v:318:y:2025:i:c:s0360544225004700
    DOI: 10.1016/j.energy.2025.134828
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225004700
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.134828?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Kazemiani-Najafabadi, Parisa & Amiri Rad, Ehsan, 2021. "Multi-objective optimization of a novel offshore CHP plant based on a 3E analysis," Energy, Elsevier, vol. 224(C).
    2. Sikarwar, Vineet Singh & Mašláni, Alan & Van Oost, Guido & Fathi, Jafar & Hlína, Michal & Mates, Tomáš & Pohořelý, Michael & Jeremiáš, Michal, 2024. "Integration of thermal plasma with CCUS to valorize sewage sludge," Energy, Elsevier, vol. 288(C).
    3. Zheng Wang & Yanli Xiao & Ye Wan & Ke Liu & Xiyuan Wang, 2022. "Research on energy management strategy of photovoltaic–battery energy storage system [Whole building optimization of a residential home with PV and battery storage in The Bahamas]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 488-493.
    4. Wang, Huaqing & Xie, Zhuoshi & Pu, Lei & Ren, Zhongrui & Zhang, Yaoyu & Tan, Zhongfu, 2022. "Energy management strategy of hybrid energy storage based on Pareto optimality," Applied Energy, Elsevier, vol. 327(C).
    5. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    6. Wu, Mou & Yan, Rujing & Zhang, Jing & Fan, Junqiu & Wang, Jiangjiang & Bai, Zhang & He, Yu & Cao, Guoqiang & Hu, Keling, 2024. "An enhanced stochastic optimization for more flexibility on integrated energy system with flexible loads and a high penetration level of renewables," Renewable Energy, Elsevier, vol. 227(C).
    7. Ma, Mingtao & Huang, Huijun & Song, Xiaoling & Peña-Mora, Feniosky & Zhang, Zhe & Chen, Jie, 2022. "Optimal sizing and operations of shared energy storage systems in distribution networks: A bi-level programming approach," Applied Energy, Elsevier, vol. 307(C).
    8. Huang, Z.F. & Chen, W.D. & Wan, Y.D. & Shao, Y.L. & Islam, M.R. & Chua, K.J., 2024. "Techno-economic comparison of different energy storage configurations for renewable energy combined cooling heating and power system," Applied Energy, Elsevier, vol. 356(C).
    9. Olatomiwa, Lanre & Mekhilef, Saad & Ismail, M.S. & Moghavvemi, M., 2016. "Energy management strategies in hybrid renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 821-835.
    10. Coppitters, Diederik & De Paepe, Ward & Contino, Francesco, 2020. "Robust design optimization and stochastic performance analysis of a grid-connected photovoltaic system with battery storage and hydrogen storage," Energy, Elsevier, vol. 213(C).
    11. Liu, Shan & Yan, Jie & Yan, Yamin & Zhang, Haoran & Zhang, Jing & Liu, Yongqian & Han, Shuang, 2024. "Joint operation of mobile battery, power system, and transportation system for improving the renewable energy penetration rate," Applied Energy, Elsevier, vol. 357(C).
    12. Gabrielli, Paolo & Poluzzi, Alessandro & Kramer, Gert Jan & Spiers, Christopher & Mazzotti, Marco & Gazzani, Matteo, 2020. "Seasonal energy storage for zero-emissions multi-energy systems via underground hydrogen storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    13. Mulleriyawage, U.G.K. & Shen, W.X., 2020. "Optimally sizing of battery energy storage capacity by operational optimization of residential PV-Battery systems: An Australian household case study," Renewable Energy, Elsevier, vol. 160(C), pages 852-864.
    14. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    15. Sadeghi, Delnia & Ahmadi, Seyed Ehsan & Amiri, Nima & Satinder, & Marzband, Mousa & Abusorrah, Abdullah & Rawa, Muhyaddin, 2022. "Designing, optimizing and comparing distributed generation technologies as a substitute system for reducing life cycle costs, CO2 emissions, and power losses in residential buildings," Energy, Elsevier, vol. 253(C).
    16. 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).
    17. Guo, Jiacheng & Liu, Zhijian & Wu, Xuan & Wu, Di & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Two-layer co-optimization method for a distributed energy system combining multiple energy storages," Applied Energy, Elsevier, vol. 322(C).
    18. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    19. Xu, Fangqiu & Liu, Jicheng & Lin, Shuaishuai & Dai, Qiongjie & Li, Cunbin, 2018. "A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China," Energy, Elsevier, vol. 163(C), pages 585-603.
    20. Xu, Xian-Feng & Wang, Ke & Ma, Wen-Hao & Wu, Chun-Ling & Huang, Xin-Rong & Ma, Zhi-Xiong & Li, Zhi-Han, 2024. "Multi-objective particle swarm optimization algorithm based on multi-strategy improvement for hybrid energy storage optimization configuration," Renewable Energy, Elsevier, vol. 223(C).
    21. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    22. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    23. Li, Qi & Xiao, Xukang & Pu, Yuchen & Luo, Shuyu & Liu, Hong & Chen, Weirong, 2023. "Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy," Applied Energy, Elsevier, vol. 349(C).
    24. Schepsmeier, Ulf, 2015. "Efficient information based goodness-of-fit tests for vine copula models with fixed margins: A comprehensive review," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 34-52.
    25. Hemmati, Reza & Mehrjerdi, Hasan & Bornapour, Mosayeb, 2020. "Hybrid hydrogen-battery storage to smooth solar energy volatility and energy arbitrage considering uncertain electrical-thermal loads," Renewable Energy, Elsevier, vol. 154(C), pages 1180-1187.
    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. Dong, Haoxin & Shan, Zijing & Zhou, Jianli & Xu, Chuanbo & Chen, Wenjun, 2023. "Refined modeling and co-optimization of electric-hydrogen-thermal-gas integrated energy system with hybrid energy storage," Applied Energy, Elsevier, vol. 351(C).
    2. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    3. Zeng, Guihua & Liu, Mingbo & Lei, Zhenxing & Huang, Xinyi, 2024. "Bi-level robust planning of hydrogen energy system for integrated electricity–heat–hydrogen energy system considering multimode utilization of hydrogen," Energy, Elsevier, vol. 303(C).
    4. Wang, Jing & Kang, Lixia & Huang, Xiankun & Liu, Yongzhong, 2021. "An analysis framework for quantitative evaluation of parametric uncertainty in a cooperated energy storage system with multiple energy carriers," Energy, Elsevier, vol. 226(C).
    5. Lei, Zijian & Yu, Hao & Li, Peng & Ji, Haoran & Yan, Jinyue & Song, Guanyu & Wang, Chengshan, 2024. "A compact time horizon compression method for planning community integrated energy systems with long-term energy storage," Applied Energy, Elsevier, vol. 361(C).
    6. Schmid, Fabian & Behrendt, Frank, 2023. "Genetic sizing optimization of residential multi-carrier energy systems: The aim of energy autarky and its cost," Energy, Elsevier, vol. 262(PA).
    7. Guangxuan Wang & Olivier Gilmont & Julien Blondeau, 2025. "Pathways to Positive Energy Districts: A Comprehensive Techno-Economic and Environmental Analysis Using Multi-Objective Optimization," Energies, MDPI, vol. 18(5), pages 1-29, February.
    8. Alexander Holtwerth & André Xhonneux & Dirk Müller, 2024. "Model Predictive Control of a Stand-Alone Hybrid Battery-Hydrogen Energy System: A Case Study of the PHOEBUS Energy System," Energies, MDPI, vol. 17(18), pages 1-46, September.
    9. Fan, Guangyao & Yu, Binbin & Sun, Bo & Li, Fan, 2024. "Multi-time-space scale optimization for a hydrogen-based regional multi-energy system," Applied Energy, Elsevier, vol. 371(C).
    10. Jin, Lingkang & Rossi, Mosè & Monforti Ferrario, Andrea & Mennilli, Francesca & Comodi, Gabriele, 2025. "Designing hybrid energy storage systems for steady green hydrogen production in residential areas: A GIS-based framework," Applied Energy, Elsevier, vol. 389(C).
    11. Shen, Weijie & Zeng, Bo & Zeng, Ming, 2023. "Multi-timescale rolling optimization dispatch method for integrated energy system with hybrid energy storage system," Energy, Elsevier, vol. 283(C).
    12. Guo, Zhongjie & Wei, Wei & Bai, Jiayu & Mei, Shengwei, 2023. "Long-term operation of isolated microgrids with renewables and hybrid seasonal-battery storage," Applied Energy, Elsevier, vol. 349(C).
    13. Baohong Jin & Zhichao Liu & Yichuan Liao, 2023. "Exploring the Impact of Regional Integrated Energy Systems Performance by Energy Storage Devices Based on a Bi-Level Dynamic Optimization Model," Energies, MDPI, vol. 16(6), pages 1-21, March.
    14. Zhang, Beiyuan & Wang, Jianru & Li, Zhicheng & Gao, Tongtong & Zhang, Weijun & Xu, Chao & Ju, Xing, 2025. "Optimal configuration scheme for multi-hybrid energy storage system containing ground source heat pumps and hydrogen-doped gas turbine," Energy, Elsevier, vol. 321(C).
    15. Wakui, Tetsuya & Akai, Kazuki & Yokoyama, Ryohei, 2022. "Shrinking and receding horizon approaches for long-term operational planning of energy storage and supply systems," Energy, Elsevier, vol. 239(PD).
    16. Yan, Zhe & Zhang, Yongming & Liang, Runqi & Jin, Wenrui, 2020. "An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning," Energy, Elsevier, vol. 207(C).
    17. Tee, Wei Hown & Gan, Chin Kim & Sardi, Junainah, 2024. "Benefits of energy storage systems and its potential applications in Malaysia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    18. Laugs, Gideon A.H. & Benders, René M.J. & Moll, Henri C., 2024. "Maximizing self-sufficiency and minimizing grid interaction: Combining electric and molecular energy storage for decentralized balancing of variable renewable energy in local energy systems," Renewable Energy, Elsevier, vol. 229(C).
    19. Yuan, Yi & Ding, Tao & Chang, Xinyue & Jia, Wenhao & Xue, Yixun, 2024. "A distributed multi-objective optimization method for scheduling of integrated electricity and hydrogen systems," Applied Energy, Elsevier, vol. 355(C).
    20. Li, Zichen & Xia, Yanghong & Bo, Yaolong & Wei, Wei, 2024. "Optimal planning for electricity-hydrogen integrated energy system considering multiple timescale operations and representative time-period selection," Applied Energy, Elsevier, vol. 362(C).

    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:eee:energy:v:318:y:2025:i:c:s0360544225004700. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.