IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p6182-d1539023.html
   My bibliography  Save this article

Distributed Low-Carbon Energy Management of Urban Campus for Renewable Energy Consumption

Author

Listed:
  • Kan Yu

    (Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310028, China)

  • Qiang Wei

    (Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310028, China)

  • Chuanzi Xu

    (Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China)

  • Xinyu Xiang

    (Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China)

  • Heyang Yu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

In order to solve the mismatch between renewable energy and load in urban building microgrids, that is, the problem of renewable energy consumption in building microgrid clusters, while preserving the privacy of each user, this paper proposes a distributed low-carbon energy management method for urban building microgrid clusters. First, a low-carbon energy management method for the urban building microgrid is proposed in order to coordinate the power sharing of various subjects to minimize the total economic cost, unleash the consumption potential of low-carbon building clusters for renewable energy, and reduce carbon emissions on the spatial and time scale. Second, an ADMM-based distributed optimal energy management method is proposed to meet user energy needs while preserving local privacy; this includes energy storage systems, renewable energy generation, and the loads within each urban building microgrid. Finally, simulation experiments are conducted based on actual data from a certain area in Hangzhou, China, and the results verify the effectiveness of the model.

Suggested Citation

  • Kan Yu & Qiang Wei & Chuanzi Xu & Xinyu Xiang & Heyang Yu, 2024. "Distributed Low-Carbon Energy Management of Urban Campus for Renewable Energy Consumption," Energies, MDPI, vol. 17(23), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6182-:d:1539023
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/6182/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/23/6182/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dong, Haiyan & Fu, Yanbo & Jia, Qingquan & Zhang, Tie & Meng, Dequn, 2023. "Low carbon optimization of integrated energy microgrid based on life cycle analysis method and multi time scale energy storage," Renewable Energy, Elsevier, vol. 206(C), pages 60-71.
    2. Yu, Heyang & Zhang, Jingchen & Ma, Junchao & Chen, Changyu & Geng, Guangchao & Jiang, Quanyuan, 2023. "Privacy-preserving demand response of aggregated residential load," Applied Energy, Elsevier, vol. 339(C).
    3. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2020. "A blockchain based peer-to-peer trading framework integrating energy and carbon markets," Applied Energy, Elsevier, vol. 279(C).
    4. Feng, Peiling & He, Xing, 2021. "Mixed neurodynamic optimization for the operation of multiple energy systems considering economic and environmental aspects," Energy, Elsevier, vol. 232(C).
    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. Ma, Runzhuo & Bu, Siqi, 2025. "Evaluation and mitigation of carbon emissions in energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    2. Chang, Weiguang & Yang, Qiang, 2023. "Low carbon oriented collaborative energy management framework for multi-microgrid aggregated virtual power plant considering electricity trading," Applied Energy, Elsevier, vol. 351(C).
    3. Wang, Yun & Xie, Haipeng & Sun, Xiaotian & Tang, Lingfeng & Bie, Zhaohong, 2022. "A cross-chain enabled day-ahead collaborative power-carbon-TGC market," Energy, Elsevier, vol. 258(C).
    4. Zhong, Xiaoqing & Zhong, Weifeng & Liu, Yi & Yang, Chao & Xie, Shengli, 2022. "Optimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations," Energy, Elsevier, vol. 246(C).
    5. Chunhua Ju & Zhonghua Shen & Fuguang Bao & Pengtong Weng & Yihang Xu & Chonghuan Xu, 2022. "A Novel Credible Carbon Footprint Traceability System for Low Carbon Economy Using Blockchain Technology," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    6. Sara Khan & Uzma Amin & Ahmed Abu-Siada, 2024. "P2P Energy Trading of EVs Using Blockchain Technology in Centralized and Decentralized Networks: A Review," Energies, MDPI, vol. 17(9), pages 1-17, April.
    7. 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).
    8. Lin, Wen-Ting & Chen, Guo & Zhou, Xiaojun, 2022. "Distributed carbon-aware energy trading of virtual power plant under denial of service attacks: A passivity-based neurodynamic approach," Energy, Elsevier, vol. 257(C).
    9. Gourisetti, Sri Nikhil Gupta & Sebastian-Cardenas, D. Jonathan & Bhattarai, Bishnu & Wang, Peng & Widergren, Steve & Borkum, Mark & Randall, Alysha, 2021. "Blockchain smart contract reference framework and program logic architecture for transactive energy systems," Applied Energy, Elsevier, vol. 304(C).
    10. Fujii, Hidemichi & Webb, Jeremy & Mundree, Sagadevan & Rowlings, David & Grace, Peter & Wilson, Clevo & Managi, Shunsuke, 2024. "Priority change and driving factors in the voluntary carbon offset market," MPRA Paper 120657, University Library of Munich, Germany.
    11. Chen, Liudong & Liu, Nian & Li, Chenchen & Zhang, Silu & Yan, Xiaohe, 2021. "Peer-to-peer energy sharing with dynamic network structures," Applied Energy, Elsevier, vol. 291(C).
    12. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    13. Zhang, Xinyue & Guo, Xiaopeng & Zhang, Xingping, 2023. "Bidding modes for renewable energy considering electricity-carbon integrated market mechanism based on multi-agent hybrid game," Energy, Elsevier, vol. 263(PA).
    14. Qiu, Dawei & Wang, Yi & Wang, Junkai & Jiang, Chuanwen & Strbac, Goran, 2023. "Personalized retail pricing design for smart metering consumers in electricity market," Applied Energy, Elsevier, vol. 348(C).
    15. Qin, Meng & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "Blockchain: A carbon-neutral facilitator or an environmental destroyer?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 604-615.
    16. Uyikumhe Damisa & Nnamdi I. Nwulu & Pierluigi Siano, 2022. "Towards Blockchain-Based Energy Trading: A Smart Contract Implementation of Energy Double Auction and Spinning Reserve Trading," Energies, MDPI, vol. 15(11), pages 1-16, June.
    17. Qin, Peijia & Tan, Xianlin & Huang, Youbin & Pan, Mingming & Ouyang, Tiancheng, 2023. "Two-stage robust optimal scheduling framework applied for microgrids: Combined energy recovery and forecast," Renewable Energy, Elsevier, vol. 214(C), pages 290-306.
    18. 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.
    19. Xu, Da & Yuan, Zhe-Li & Bai, Ziyi & Wu, Zhibin & Chen, Shuangyin & Zhou, Ming, 2022. "Optimal operation of geothermal-solar-wind renewables for community multi-energy supplies," Energy, Elsevier, vol. 249(C).
    20. Liu, Jia & Yang, Hongxing & Zhou, Yuekuan, 2021. "Peer-to-peer energy trading of net-zero energy communities with renewable energy systems integrating hydrogen vehicle storage," Applied Energy, Elsevier, vol. 298(C).

    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:jeners:v:17:y:2024:i:23:p:6182-:d:1539023. 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.