IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i17p7637-d1731583.html

Bi-Level Sustainability Planning for Integrated Energy Systems Considering Hydrogen Utilization and the Bilateral Response of Supply and Demand

Author

Listed:
  • Xiaofeng Li

    (College of Chemical Engineering and Technology, Xinjiang University, Urumqi 830017, China
    Northwest Branch of China Petroleum Engineering & Construction Co., Ltd., Turpan 838202, China)

  • Fangying Zhang

    (Northwest Branch of China Petroleum Engineering & Construction Co., Ltd., Turpan 838202, China)

  • Yudai Huang

    (College of Chemistry, Xinjiang University, Urumqi 830017, China)

  • Gaohang Zhang

    (College of Electrical Engineering, Xinjiang University, Urumqi 830017, China)

Abstract

Under the background of “double carbon” and sustainable development, aimed at the problem of resource capacity planning in the integrated energy system (IES), at improving the economy of system planning operation and renewable energy (RE) consumption, and at reducing carbon emissions, this paper proposes a multi-objective bi-level sustainability planning method for IES considering the bilateral response of supply and demand and hydrogen utilization. Firstly, the multi-energy flow in the IES is analyzed, constructing the system energy flow framework, studying the support ability of hydrogen utilization and the bilateral response of supply and demand to system energy conservation, emission reduction and sustainable development. Secondly, a multi-objective bi-level planning model for IES is constructed with the purpose of optimizing economy, RE consumption, and carbon emission. The non-dominated sorting genetic algorithm II (NSGA-II) and commercial solver Gurobi are used to solve the model and, through the simulation, verify the model’s effectiveness. Finally, the planning results show that after introducing the hydrogen fuel cells, hydrogen storage tank, and bilateral response, the total costs and carbon emissions decreased by 29.17% and 77.12%, while the RE consumption rate increased by 16.75%. After introducing the multi-objective planning method considering the system economy, RE consumption, and carbon emissions, the system total cost increased by 0.34%, the consumption rate of RE increased by 0.6%, and the carbon emissions decreased by 43.61t, which effectively provides reference for resource planning and sustainable development of IES.

Suggested Citation

  • Xiaofeng Li & Fangying Zhang & Yudai Huang & Gaohang Zhang, 2025. "Bi-Level Sustainability Planning for Integrated Energy Systems Considering Hydrogen Utilization and the Bilateral Response of Supply and Demand," Sustainability, MDPI, vol. 17(17), pages 1-22, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7637-:d:1731583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/17/7637/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/17/7637/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Harsh, Pratik & Das, Debapriya, 2022. "Optimal coordination strategy of demand response and electric vehicle aggregators for the energy management of reconfigured grid-connected microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. Sheng, Xuan & Lin, Shunjiang & Liang, Weikun & Xie, Huifan & Liu, Mingbo, 2025. "Optimal long-term planning of CCUS and carbon trading mechanism in offshore-onshore integrated energy system," Applied Energy, Elsevier, vol. 379(C).
    3. Zhang, Jinliang & Liu, Ziyi, 2024. "Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen," Energy, Elsevier, vol. 290(C).
    4. Chen, Xianqing & Yang, Lingfang & Dong, Wei & Yang, Qiang, 2024. "Net-zero carbon emission oriented Bi-level optimal capacity planning of integrated energy system considering carbon capture and hydrogen facilities," Renewable Energy, Elsevier, vol. 237(PB).
    5. Hu, Junjie & Wang, Yudong & Dong, Lei, 2024. "Low carbon-oriented planning of shared energy storage station for multiple integrated energy systems considering energy-carbon flow and carbon emission reduction," Energy, Elsevier, vol. 290(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qian Zhang & Xunting Wang & Jinjin Ding & Haiwei Wang & Fulin Zhao & Xingxing Ju & Meijie Zhang, 2025. "A Framework for Sustainable Power Demand Response: Optimization Scheduling with Dynamic Carbon Emission Factors and Dual DPMM-LSTM," Sustainability, MDPI, vol. 17(20), pages 1-24, October.

    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. Li, Yanbin & Hu, Weikun & Zhang, Feng & Li, Yun, 2025. "Multi-objective collaborative operation optimization of park-level integrated energy system clusters considering green power forecasting and trading," Energy, Elsevier, vol. 319(C).
    2. Wang, Yongli & Dong, Huanran & Guo, Wenhui & Wang, Yinuo & Liu, Xiaoli & Ma, Yang, 2025. "Research on planning optimization of integrated energy system considering sewage heat reuse," Energy, Elsevier, vol. 332(C).
    3. Shi, Shaobo & Ji, Yuehui & Zhu, Lewei & Liu, Junjie & Gao, Xiang & Chen, Hao & Gao, Qiang, 2025. "Interactive optimization of electric vehicles and park integrated energy system driven by low carbon: An incentive mechanism based on Stackelberg game," Energy, Elsevier, vol. 318(C).
    4. Dey, Bishwajit & Khumanleima Chanu, Laishram & Sharma, Gulshan & Bokoro, Pitshou N. & Bansal, Ramesh C. & Kumar, Rajesh, 2025. "Economic operation of a microgrid system with amalgamated load shifting/curtailing policy and smart PHEV charging," Energy, Elsevier, vol. 334(C).
    5. Su, Xin & Zhang, Qian & Lu, YangDong & Hao, RuiYi & Qin, TianXi & Li, ChunYan & Huang, ShengWei & Bi, KeFan, 2025. "Study on multi-energy scheduling strategy considering dynamic energy prices and low-carbon demand response," Renewable Energy, Elsevier, vol. 247(C).
    6. Zejun Tong & Chun Zhang & Xiaotai Wu & Pengcheng Gao & Shuang Wu & Haoyu Li, 2023. "Economic Optimization Control Method of Grid-Connected Microgrid Based on Improved Pinning Consensus," Energies, MDPI, vol. 16(3), pages 1-31, January.
    7. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).
    8. Wu, Biao & Zhang, Shaohua & Yuan, Chenxin & Wang, Xian & Wang, Fei & Zhang, Shengqi, 2024. "Cooperative energy and reserve trading strategies for multiple integrated energy systems based on asymmetric nash bargaining theory," Energy, Elsevier, vol. 313(C).
    9. Lv, You & Tian, Helu & Liao, Conglin & Fang, Fang & Liu, Jizhen, 2026. "Multi-time scale optimal scheduling of green energy data centers considering Carnot batteries," Renewable Energy, Elsevier, vol. 257(C).
    10. Ma, Runzhuo & Bu, Siqi, 2025. "Evaluation and mitigation of carbon emissions in energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    11. Ren, Lina & Zhang, Kunpeng & Mehran, Kamyar & Ma, Kai, 2025. "Low-carbon economic dispatch of a hydrogen-based integrated energy system considering the coordinated operation of CHP-ORC-CSP and P2G-CCS," Energy, Elsevier, vol. 340(C).
    12. Yang, Dongfeng & Zhan, Tong & Liu, Xiaojun & Jiang, Chao & Huang, Gang & Wang, Hui, 2025. "Scenario information gap planning for electricity-gas-hydrogen integrated energy systems considering the impact of grid interaction locations," Energy, Elsevier, vol. 335(C).
    13. Ibrahim Alsaidan & Mohd Bilal & Muhannad Alaraj & Mohammad Rizwan & Fahad M. Almasoudi, 2023. "A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    14. Cui, Mingyong & Ji, Xinpeng & Xu, Chenhao, 2025. "Low-carbon economic dispatch of integrated energy system based on oxygen-driven synergistic hydrogen production utilizing coal and electricity," Energy, Elsevier, vol. 335(C).
    15. Kai-Hung Lu & Chih-Ming Hong & Junfang Lian & Fu-Sheng Cheng, 2025. "A Review of Synergies Between Advanced Grid Integration Strategies and Carbon Market for Wind Energy Development," Energies, MDPI, vol. 18(3), pages 1-23, January.
    16. Yu, Jie & Chen, Lu & Hu, Jianqiang, 2025. "Enhancing network flexibility and profitability in multi-energy micro-grid systems through decentralized multi-agent optimization," Energy, Elsevier, vol. 338(C).
    17. Muchun Wan & Heyang Yu & Yingning Huo & Kan Yu & Quanyuan Jiang & Guangchao Geng, 2024. "Feasibility and Challenges for Vehicle-to-Grid in Electricity Market: A Review," Energies, MDPI, vol. 17(3), pages 1-23, January.
    18. Liu, Xinrui & Li, Ming & Wang, Rui & Feng, Junbo & Dong, Chaoyu & Sun, Qiuye, 2024. "Low-carbon operation of multi-virtual power plants with hydrogen doping and load aggregator based on bilateral cooperative game," Energy, Elsevier, vol. 309(C).
    19. Wang, Y.X. & Chen, J.J. & Zhao, Y.L. & Xu, B.Y., 2024. "Incorporate robust optimization and demand defense for optimal planning of shared rental energy storage in multi-user industrial park," Energy, Elsevier, vol. 301(C).
    20. Yuchen Liu & Zhenhai Dou & Zheng Wang & Jiaming Guo & Jingwei Zhao & Wenliang Yin, 2024. "Optimal Configuration of Electricity-Heat Integrated Energy Storage Supplier and Multi-Microgrid System Scheduling Strategy Considering Demand Response," Energies, MDPI, vol. 17(21), pages 1-23, October.

    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:gam:jsusta:v:17:y:2025:i:17:p:7637-:d:1731583. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.