IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i11p2569-d1402211.html
   My bibliography  Save this article

Multi-Energy Load Collaborative Optimization of the Active Building Energy Management Strategy

Author

Listed:
  • Min Wang

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Hang Gao

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Dongqian Pan

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Xiangyu Sheng

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Chunxing Xu

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Qiming Wang

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

Abstract

Under the dual-carbon target, the popularization and application of building integrated photovoltaic (BIPV) and ground source heat pump systems have made active buildings a research hotspot in the field of architecture and energy. Aiming at this issue, based on the building energy consumption model of active buildings, an active building energy management system (EMS) control strategy based on multi-energy load collaborative optimization is proposed. Firstly, based on the thermal dynamic characteristics and building performance parameters of active buildings, the overall refined energy consumption model of active buildings is constructed. Secondly, based on the construction of BIPV, the ice storage air conditioning system, the ground source heat pump system, and the integrated demand response (IDR) model, a tiered carbon transaction cost model is introduced, and an energy management strategy that leverages the synergistic application of renewable and active technologies is proposed. This strategy aims to meet the comprehensive needs of active buildings in terms of economic benefits, comfort, and environmental protection. Finally, the strategy’s effectiveness is demonstrated through a practical example.

Suggested Citation

  • Min Wang & Hang Gao & Dongqian Pan & Xiangyu Sheng & Chunxing Xu & Qiming Wang, 2024. "Multi-Energy Load Collaborative Optimization of the Active Building Energy Management Strategy," Energies, MDPI, vol. 17(11), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2569-:d:1402211
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/11/2569/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/11/2569/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sehar, Fakeha & Pipattanasomporn, Manisa & Rahman, Saifur, 2017. "Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables," Energy, Elsevier, vol. 120(C), pages 642-651.
    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. Luiz Almeida & Ana Soares & Pedro Moura, 2023. "A Systematic Review of Optimization Approaches for the Integration of Electric Vehicles in Public Buildings," Energies, MDPI, vol. 16(13), pages 1-26, June.
    2. Cao, Sunliang, 2019. "The impact of electric vehicles and mobile boundary expansions on the realization of zero-emission office buildings," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Lumbumba Taty-Etienne Nyamayoka & Lesedi Masisi & David Dorrell & Shuo Wang, 2025. "Techno-Economic Feasibility and Optimal Design Approach of Grid-Connected Hybrid Power Generation Systems for Electric Vehicle Battery Swapping Station," Energies, MDPI, vol. 18(5), pages 1-30, March.
    4. Anamarija Falkoni & Antun Pfeifer & Goran Krajačić, 2020. "Vehicle-to-Grid in Standard and Fast Electric Vehicle Charging: Comparison of Renewable Energy Source Utilization and Charging Costs," Energies, MDPI, vol. 13(6), pages 1-22, March.
    5. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu & Liu, Junyao, 2023. "A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective," Applied Energy, Elsevier, vol. 331(C).
    6. Ana Carolina Dias Barreto de Souza & Filipe Menezes de Vasconcelos & Gabriel Abel Massunanga Moreira & João Victor dos Reis. Alves & Jonathan Muñoz Tabora & Maria Emília de Lima Tostes & Carminda Céli, 2024. "Impact of Electric Vehicles Consumption on Energy Efficient and Self-Sufficient Performance in Building: A Case Study in the Brazilian Amazon Region," Energies, MDPI, vol. 17(16), pages 1-32, August.
    7. Yi, Tao & Cheng, Xiaobin & Peng, Peng, 2022. "Two-stage optimal allocation of charging stations based on spatiotemporal complementarity and demand response: A framework based on MCS and DBPSO," Energy, Elsevier, vol. 239(PC).
    8. Seddig, Katrin & Jochem, Patrick & Fichtner, Wolf, 2017. "Integrating renewable energy sources by electric vehicle fleets under uncertainty," Energy, Elsevier, vol. 141(C), pages 2145-2153.
    9. Corinaldesi, Carlo & Lettner, Georg & Auer, Hans, 2022. "On the characterization and evaluation of residential on-site E-car-sharing," Energy, Elsevier, vol. 246(C).
    10. Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Usher, John M. & Jaradat, Raed, 2018. "A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid," Applied Energy, Elsevier, vol. 229(C), pages 841-857.
    11. Chitalia, Gopal & Pipattanasomporn, Manisa & Garg, Vishal & Rahman, Saifur, 2020. "Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks," Applied Energy, Elsevier, vol. 278(C).
    12. Francesca Ceglia & Elisa Marrasso & Carlo Roselli & Maurizio Sasso, 2021. "Small Renewable Energy Community: The Role of Energy and Environmental Indicators for Power Grid," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    13. Sanchari Deb & Kari Tammi & Karuna Kalita & Pinakeshwar Mahanta, 2018. "Impact of Electric Vehicle Charging Station Load on Distribution Network," Energies, MDPI, vol. 11(1), pages 1-25, January.
    14. Charilaos Latinopoulos & Aruna Sivakumar & John W. Polak, 2021. "Optimal Pricing of Vehicle-to-Grid Services Using Disaggregate Demand Models," Energies, MDPI, vol. 14(4), pages 1-27, February.
    15. Lagomarsino, Maria & van der Kam, Mart & Parra, David & Hahnel, Ulf J.J., 2022. "Do I need to charge right now? Tailored choice architecture design can increase preferences for electric vehicle smart charging," Energy Policy, Elsevier, vol. 162(C).
    16. Li, Junqiang & Ren, Hao & Wang, Mingyue, 2021. "How to escape the dilemma of charging infrastructure construction? A multi-sectorial stochastic evolutionary game model," Energy, Elsevier, vol. 231(C).
    17. Bastida-Molina, Paula & Hurtado-Pérez, Elías & Moros Gómez, María Cristina & Vargas-Salgado, Carlos, 2021. "Multicriteria power generation planning and experimental verification of hybrid renewable energy systems for fast electric vehicle charging stations," Renewable Energy, Elsevier, vol. 179(C), pages 737-755.
    18. Emmanuel Karapidakis & Marios Nikologiannis & Marini Markaki & Georgios Kouzoukas & Sofia Yfanti, 2025. "Enhancing Renewable Energy Integration and Implementing EV Charging Stations for Sustainable Electricity in Crete’s Supermarket Chain," Energies, MDPI, vol. 18(3), pages 1-22, February.
    19. Sridharan, S. & Sivakumar, S. & Shanmugasundaram, N. & Swapna, S. & Vasan Prabhu, V., 2023. "A hybrid approach based energy management for building resilience against power outage by shared parking station for EVs," Renewable Energy, Elsevier, vol. 216(C).
    20. Laith Shalalfeh & Ashraf AlShalalfeh & Khaled Alkaradsheh & Mahmoud Alhamarneh & Ahmad Bashaireh, 2021. "Electric Vehicles in Jordan: Challenges and Limitations," Sustainability, MDPI, vol. 13(6), pages 1-16, March.

    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:11:p:2569-:d:1402211. 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.