IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3684-d1384844.html

Optimal Capacity Planning of Green Electricity-Based Industrial Electricity-Hydrogen Multi-Energy System Considering Variable Unit Cost Sequence

Author

Listed:
  • Qinqin Xia

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Yao Zou

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Qianggang Wang

    (National Innovation Center for Industry-Education Integration of Energy Storage Technology, College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China)

Abstract

Utilizing renewable energy sources (RESs), such as wind and solar, to convert electrical energy into hydrogen energy can promote the accommodation of green electricity. This paper proposes an optimal capacity planning approach for an industrial electricity-hydrogen multi-energy system (EHMES) aimed to achieve the local utilization of RES and facilitate the transition to carbon reduction in industrial settings. The proposed approach models the EHMES equipment in detail and divides the system’s investment and operation into producer and consumer sides with energy trading for effective integration. Through this effort, the specialized management for different operators and seamless incorporation of RES into industrial users can be achieved. In addition, the variations in investment and operating costs of equipment across different installed capacities are considered to ensure a practical alignment with real-world scenarios. By conducting a detailed case study, the influence of various factors on the capacity configuration outcomes within an EHMES is analyzed. The results demonstrate that the proposed method can effectively address the capacity configuration of equipment within EHMES based on the local accommodation of RES and variable unit cost sequence. Wind power serves as the primary source of green electricity in the system. Energy storage acts as crucial equipment for enhancing the utilization rate of RES.

Suggested Citation

  • Qinqin Xia & Yao Zou & Qianggang Wang, 2024. "Optimal Capacity Planning of Green Electricity-Based Industrial Electricity-Hydrogen Multi-Energy System Considering Variable Unit Cost Sequence," Sustainability, MDPI, vol. 16(9), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3684-:d:1384844
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3684/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/9/3684/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Groll, Manfred, 2023. "Can climate change be avoided? Vision of a hydrogen-electricity energy economy," Energy, Elsevier, vol. 264(C).
    2. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    3. 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).
    4. Liu, Zhiyuan & Yu, Hang & Liu, Rui, 2019. "A novel energy supply and demand matching model in park integrated energy system," Energy, Elsevier, vol. 176(C), pages 1007-1019.
    5. Li, Jiale & Yang, Bo & Huang, Jianxiang & Guo, Zhengxun & Wang, Jingbo & Zhang, Rui & Hu, Yuanweiji & Shu, Hongchun & Chen, Yixuan & Yan, Yunfeng, 2023. "Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network," Energy, Elsevier, vol. 273(C).
    6. Khalilpour, Rajab & Vassallo, Anthony, 2016. "Planning and operation scheduling of PV-battery systems: A novel methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 194-208.
    7. Fleten, S.-E. & Maribu, K.M. & Wangensteen, I., 2007. "Optimal investment strategies in decentralized renewable power generation under uncertainty," Energy, Elsevier, vol. 32(5), pages 803-815.
    8. Li, Peng & Wang, Zixuan & Wang, Jiahao & Guo, Tianyu & Yin, Yunxing, 2021. "A multi-time-space scale optimal operation strategy for a distributed integrated energy system," Applied Energy, Elsevier, vol. 289(C).
    9. 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).
    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. Mtamabari Torbira & Cuong Duc Dao & Ahmed Darwish Badawy & Felician Campean, 2025. "Optimal Planning and Techno-Economic Analysis of P2G-Multi-Energy Systems," Sustainability, MDPI, vol. 17(13), pages 1-30, June.

    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. Jia, Wenhao & Ding, Tao & He, Yuhan, 2026. "Synergistic integration of green hydrogen in renewable power systems: A comprehensive review of key technologies, research landscape, and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PD).
    2. 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).
    3. 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).
    4. 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).
    5. Zhao, Ruoxuan & Yang, Qiming & Li, Gengfeng & Liu, Dafu & Ji, Chenlin & Bian, Yiheng & Bie, Zhaohong, 2025. "Interaction strategy for grid-hydrogen-vehicle system in extreme heat scenarios: Hybrid system dynamics and Bilevel optimization approach," Applied Energy, Elsevier, vol. 391(C).
    6. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
    7. Wang, Jin & Zhao, Zhipeng & Zhou, Jinglin & Cheng, Chuntian & Su, Huaying, 2024. "Co-optimization for day-ahead scheduling and flexibility response mode of a hydro–wind–solar hybrid system considering forecast uncertainty of variable renewable energy," Energy, Elsevier, vol. 311(C).
    8. Park, Joungho & Kang, Sungho & Kim, Sunwoo & Kim, Hana & Cho, Hyun-Seok & Lee, Changsoo & Kim, MinJoong & Lee, Jay H., 2025. "The impact of degradation on the economics of green hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 213(C).
    9. Adkins, Roger & Paxson, Dean, 2019. "Rescaling-contraction with a lower cost technology when revenue declines," European Journal of Operational Research, Elsevier, vol. 277(2), pages 574-586.
    10. Lin, Xueru & Li, Jing & Zhong, Wei & Lin, Xiaojie & Zhang, Hong & Wei, Wei, 2025. "Cross-scale coordinated optimization method for electricity-thermal-hydrogen systems in chemical industrial parks based on long-term and short-term flexibility margin evaluation," Energy, Elsevier, vol. 340(C).
    11. Rafał Nagaj & Bożena Gajdzik & Radosław Wolniak & Wieslaw Wes Grebski, 2024. "The Impact of Deep Decarbonization Policy on the Level of Greenhouse Gas Emissions in the European Union," Energies, MDPI, vol. 17(5), pages 1-23, March.
    12. Li, Fei & Wang, Dong & Guo, Hengdao & Liu, Zhan & Zhang, Jianhua & Lin, Zhifang, 2025. "Two-stage Distributionally robust optimization for hydrogen-IES participation in energy-carbon trading-frequency regulation ancillary services market," Energy, Elsevier, vol. 328(C).
    13. Cervantes, Jairo & Choobineh, Fred, 2018. "Optimal sizing of a nonutility-scale solar power system and its battery storage," Applied Energy, Elsevier, vol. 216(C), pages 105-115.
    14. Fuss, Sabine & Szolgayová, Jana & Khabarov, Nikolay & Obersteiner, Michael, 2012. "Renewables and climate change mitigation: Irreversible energy investment under uncertainty and portfolio effects," Energy Policy, Elsevier, vol. 40(C), pages 59-68.
    15. Li, Na & Okur, Özge, 2023. "Economic analysis of energy communities: Investment options and cost allocation," Applied Energy, Elsevier, vol. 336(C).
    16. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    17. Zhou, Hou Sheng & Passey, Rob & Bruce, Anna & Sproul, Alistair B., 2021. "A case study on the behaviour of residential battery energy storage systems during network demand peaks," Renewable Energy, Elsevier, vol. 180(C), pages 712-724.
    18. Lin, Tyrone T. & Huang, Shio-Ling, 2011. "Application of the modified Tobin's q to an uncertain energy-saving project with the real options concept," Energy Policy, Elsevier, vol. 39(1), pages 408-420, January.
    19. Beuse, Martin & Dirksmeier, Mathias & Steffen, Bjarne & Schmidt, Tobias S., 2020. "Profitability of commercial and industrial photovoltaics and battery projects in South-East-Asia," Applied Energy, Elsevier, vol. 271(C).
    20. Vakilifard, Negar & A. Bahri, Parisa & Anda, Martin & Ho, Goen, 2018. "A two-level decision making approach for optimal integrated urban water and energy management," Energy, Elsevier, vol. 155(C), pages 408-425.

    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:16:y:2024:i:9:p:3684-:d:1384844. 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.