IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v376y2024ipas0306261924016064.html
   My bibliography  Save this article

Customized decentralized autonomous organization based optimal energy management for smart buildings

Author

Listed:
  • Ding, Yibo
  • Sun, Xianzhuo
  • Ruan, Jiaqi
  • Shi, Wenzhuo
  • Wu, Huayi
  • Xu, Zhao

Abstract

In recent years, the unprecedented rising urbanization level and proliferation of distributed energy sources (DES) are motivating the transition of smart building from consumer to prosumer. In the context of mitigating upstream emission via reducing reliance on utility grids, the key challenge becomes realizing autonomous and economically optimal energy management within smart buildings. This paper innovatively proposes a Decentralized Autonomous Organization (DAO)-based energy management framework for smart buildings, where the mechanism of day-ahead scheduling DAO considering peer-to-peer (P2P) energy sharing is specifically investigated. Besides, a sequential preference satisfaction mechanism is designed to customize participants’ special demands, thereby achieving effective energy matching. Considering potential communication failures between buildings in practical operations, this study develops a communication failure robust distributed algorithm to minimize operational costs and safeguard building’s privacy. Extensive numerical studies for highly DES penetrated smart buildings successfully offers an operation cost reduction of 33.7% when considering preference satisfaction and P2P energy sharing in the day-ahead scheduling problem. Simulation results also demonstrates that the algorithm in this work excels in resisting potential communication failure during operation.

Suggested Citation

  • Ding, Yibo & Sun, Xianzhuo & Ruan, Jiaqi & Shi, Wenzhuo & Wu, Huayi & Xu, Zhao, 2024. "Customized decentralized autonomous organization based optimal energy management for smart buildings," Applied Energy, Elsevier, vol. 376(PA).
    • Handle: RePEc:eee:appene:v:376:y:2024:i:pa:s0306261924016064
    DOI: 10.1016/j.apenergy.2024.124223
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924016064
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.124223?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Guerrero, Jaysson & Sok, Bunyim & Chapman, Archie C. & Verbič, Gregor, 2021. "Electrical-distance driven peer-to-peer energy trading in a low-voltage network," Applied Energy, Elsevier, vol. 287(C).
    2. Zhang, Xihai & Ge, Shaoyun & Liu, Hong & Zhou, Yue & He, Xingtang & Xu, Zhengyang, 2023. "Distributionally robust optimization for peer-to-peer energy trading considering data-driven ambiguity sets," Applied Energy, Elsevier, vol. 331(C).
    3. Zhang, Wenyi & Wei, Wei & Chen, Laijun & Zheng, Boshen & Mei, Shengwei, 2020. "Service pricing and load dispatch of residential shared energy storage unit," Energy, Elsevier, vol. 202(C).
    4. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    5. Ning Wang & Weisheng Xu & Zhiyu Xu & Weihui Shao, 2018. "Peer-to-Peer Energy Trading among Microgrids with Multidimensional Willingness," Energies, MDPI, vol. 11(12), pages 1-22, November.
    6. Lyu, Cheng & Jia, Youwei & Xu, Zhao, 2021. "Fully decentralized peer-to-peer energy sharing framework for smart buildings with local battery system and aggregated electric vehicles," Applied Energy, Elsevier, vol. 299(C).
    7. Thomas Morstyn & Niall Farrell & Sarah J. Darby & Malcolm D. McCulloch, 2018. "Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants," Nature Energy, Nature, vol. 3(2), pages 94-101, February.
    8. Dukovska, Irena & Slootweg, J.G. (Han) & Paterakis, Nikolaos G., 2023. "Introducing user preferences for peer-to-peer electricity trading through stochastic multi-objective optimization," Applied Energy, Elsevier, vol. 338(C).
    9. 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).
    10. Liu, Yinyan & Ma, Jin & Xing, Xinjie & Liu, Xinglu & Wang, Wei, 2022. "A home energy management system incorporating data-driven uncertainty-aware user preference," Applied Energy, Elsevier, vol. 326(C).
    11. Hassan, Samer & De Filippi, Primavera, 2021. "Decentralized Autonomous Organization," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(2), pages 1-10.
    12. Long, Chao & Wu, Jianzhong & Zhou, Yue & Jenkins, Nick, 2018. "Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid," Applied Energy, Elsevier, vol. 226(C), pages 261-276.
    13. Hou, Hui & Xue, Mengya & Xu, Yan & Xiao, Zhenfeng & Deng, Xiangtian & Xu, Tao & Liu, Peng & Cui, Rongjian, 2020. "Multi-objective economic dispatch of a microgrid considering electric vehicle and transferable load," Applied Energy, Elsevier, vol. 262(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. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    2. Arnob Das & Susmita Datta Peu & Md. Abdul Mannan Akanda & Abu Reza Md. Towfiqul Islam, 2023. "Peer-to-Peer Energy Trading Pricing Mechanisms: Towards a Comprehensive Analysis of Energy and Network Service Pricing (NSP) Mechanisms to Get Sustainable Enviro-Economical Energy Sector," Energies, MDPI, vol. 16(5), pages 1-27, February.
    3. Meng, Yuan & Qiu, Jing & Zhang, Cuo & Lei, Gang & Zhu, Jianguo, 2024. "A Holistic P2P market for active and reactive energy trading in VPPs considering both financial benefits and network constraints," Applied Energy, Elsevier, vol. 356(C).
    4. Zheng, Boshen & Wei, Wei & Chen, Yue & Wu, Qiuwei & Mei, Shengwei, 2022. "A peer-to-peer energy trading market embedded with residential shared energy storage units," Applied Energy, Elsevier, vol. 308(C).
    5. Jiang, Zhisen & Guo, Ye & Wang, Jianxiao, 2025. "Dynamic operating envelopes embedded peer-to-peer-to-grid energy trading," Applied Energy, Elsevier, vol. 377(PB).
    6. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
    7. Kuruseelan S & Vaithilingam C, 2019. "Peer-to-Peer Energy Trading of a Community Connected with an AC and DC Microgrid," Energies, MDPI, vol. 12(19), pages 1-15, September.
    8. Min-Hwi Kim & Youngsub An & Hong-Jin Joo & Dong-Won Lee & Jae-Ho Yun, 2021. "Self-Sufficiency and Energy Savings of Renewable Thermal Energy Systems for an Energy-Sharing Community," Energies, MDPI, vol. 14(14), pages 1-14, July.
    9. Park, Sung-Won & Zhang, Zhong & Li, Furong & Son, Sung-Yong, 2021. "Peer-to-peer trading-based efficient flexibility securing mechanism to support distribution system stability," Applied Energy, Elsevier, vol. 285(C).
    10. Lyu, Cheng & Jia, Youwei & Xu, Zhao, 2021. "Fully decentralized peer-to-peer energy sharing framework for smart buildings with local battery system and aggregated electric vehicles," Applied Energy, Elsevier, vol. 299(C).
    11. Ning Wang & Weisheng Xu & Weihui Shao & Zhiyu Xu, 2019. "A Q-Cube Framework of Reinforcement Learning Algorithm for Continuous Double Auction among Microgrids," Energies, MDPI, vol. 12(15), pages 1-26, July.
    12. Chun Xia-Bauer & Florin Vondung & Stefan Thomas & Raphael Moser, 2022. "Business Model Innovations for Renewable Energy Prosumer Development in Germany," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    13. Wang, Zibo & Yu, Xiaodan & Mu, Yunfei & Jia, Hongjie, 2020. "A distributed Peer-to-Peer energy transaction method for diversified prosumers in Urban Community Microgrid System," Applied Energy, Elsevier, vol. 260(C).
    14. Soto, Esteban A. & Bosman, Lisa B. & Wollega, Ebisa & Leon-Salas, Walter D., 2021. "Peer-to-peer energy trading: A review of the literature," Applied Energy, Elsevier, vol. 283(C).
    15. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    16. Francesca Andreolli & Chiara D'Alpaos & Peter Kort, 2023. "Does P2P Trading Favor Investments in PV-Battery Systems?," Working Papers 2023.02, Fondazione Eni Enrico Mattei.
    17. Samende, Cephas & Cao, Jun & Fan, Zhong, 2022. "Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints," Applied Energy, Elsevier, vol. 317(C).
    18. Filipe Bandeiras & Álvaro Gomes & Mário Gomes & Paulo Coelho, 2023. "Exploring Energy Trading Markets in Smart Grid and Microgrid Systems and Their Implications for Sustainability in Smart Cities," Energies, MDPI, vol. 16(2), pages 1-41, January.
    19. Wang, Zibo & Yu, Xiaodan & Mu, Yunfei & Jia, Hongjie & Jiang, Qian & Wang, Xiaoyu, 2021. "Peer-to-Peer energy trading strategy for energy balance service provider (EBSP) considering market elasticity in community microgrid," Applied Energy, Elsevier, vol. 303(C).
    20. Paladin, Andrea & Das, Ridoy & Wang, Yue & Ali, Zunaib & Kotter, Richard & Putrus, Ghanim & Turri, Roberto, 2021. "Micro market based optimisation framework for decentralised management of distributed flexibility assets," Renewable Energy, Elsevier, vol. 163(C), pages 1595-1611.

    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:appene:v:376:y:2024:i:pa:s0306261924016064. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.