IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7045-d924863.html
   My bibliography  Save this article

The Application and Development of LVDC Buildings in China

Author

Listed:
  • Jing Kang

    (Shenzhen Institute of Building Research Co., Ltd., Shenzhen 518049, China)

  • Bin Hao

    (Shenzhen Institute of Building Research Co., Ltd., Shenzhen 518049, China)

  • Yutong Li

    (Shenzhen Institute of Building Research Co., Ltd., Shenzhen 518049, China)

  • Hui Lin

    (Taihor Building Energy Technology Co., Ltd., Beijing 100084, China)

  • Zhifeng Xue

    (Taihor Building Energy Technology Co., Ltd., Beijing 100084, China)

Abstract

LVDC buildings use a low-voltage direct current (LVDC) distribution system for energy transmission and integrate photovoltaic (PV), battery energy storage (BES) and the utility grid as building energy resources. This technology can reduce energy loss in conversion to a certain extent and increase renewable energy compared with traditional AC distribution systems. Under the national goal of carbon peaking and carbon neutrality, LVDC buildings have been proven to be a new approach to energy conservation and emission reductions, and have been applied in engineering in China. However, the construction methods and integrated technologies of those projects are not clear, and technical barriers and policy constraints for the engineering application of LVDC buildings are not systematically discussed yet. This paper presents the latest study of LVDC building engineering applications the advantages and drawbacks of LVDC development in China. First, relevant policies and standards which support the development of LVDC building industries are summarized. More than 60 practical LVDC projects are investigated, and the application characteristics and the technology status of building types, and their capacity and design methods, etc., are analyzed. The attitudes of stakeholders toward LVDC buildings are surveyed to determine the policy direction according to the demands of this technology, with reference to building practitioners who intend to engage in LVDC projects.

Suggested Citation

  • Jing Kang & Bin Hao & Yutong Li & Hui Lin & Zhifeng Xue, 2022. "The Application and Development of LVDC Buildings in China," Energies, MDPI, vol. 15(19), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7045-:d:924863
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7045/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/7045/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hallemans, L. & Ravyts, S. & Govaerts, G. & Fekriasl, S. & Van Tichelen, P. & Driesen, J., 2022. "A stepwise methodology for the design and evaluation of protection strategies in LVDC microgrids," Applied Energy, Elsevier, vol. 310(C).
    2. Tang, Rui & Wang, Shengwei, 2019. "Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids," Applied Energy, Elsevier, vol. 242(C), pages 873-882.
    3. Glasgo, Brock & Azevedo, Inês Lima & Hendrickson, Chris, 2016. "How much electricity can we save by using direct current circuits in homes? Understanding the potential for electricity savings and assessing feasibility of a transition towards DC powered buildings," Applied Energy, Elsevier, vol. 180(C), pages 66-75.
    4. Novoa, Laura & Flores, Robert & Brouwer, Jack, 2019. "Optimal renewable generation and battery storage sizing and siting considering local transformer limits," Applied Energy, Elsevier, vol. 256(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. Gerber, Daniel L. & Nordman, Bruce & Brown, Richard & Poon, Jason, 2023. "Cost analysis of distributed storage in AC and DC microgrids," Applied Energy, Elsevier, vol. 344(C).
    2. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.
    3. Yangfan Chen & Yu Zhang, 2023. "DC Transformers in DC Distribution Systems," Energies, MDPI, vol. 16(7), pages 1-19, March.

    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. Tao Xu & He Meng & Jie Zhu & Wei Wei & He Zhao & Han Yang & Zijin Li & Yuhan Wu, 2021. "Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination," Energies, MDPI, vol. 14(6), pages 1-24, March.
    2. Issah Babatunde Majeed & Nnamdi I. Nwulu, 2022. "Impact of Reverse Power Flow on Distributed Transformers in a Solar-Photovoltaic-Integrated Low-Voltage Network," Energies, MDPI, vol. 15(23), pages 1-19, December.
    3. Zheng, Ling & Zhou, Bin & Cao, Yijia & Wing Or, Siu & Li, Yong & Wing Chan, Ka, 2022. "Hierarchical distributed multi-energy demand response for coordinated operation of building clusters," Applied Energy, Elsevier, vol. 308(C).
    4. Wu, Long & Yin, Xunyuan & Pan, Lei & Liu, Jinfeng, 2023. "Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy," Applied Energy, Elsevier, vol. 349(C).
    5. Saeed Habibi & Ramin Rahimi & Mehdi Ferdowsi & Pourya Shamsi, 2021. "DC Bus Voltage Selection for a Grid-Connected Low-Voltage DC Residential Nanogrid Using Real Data with Modified Load Profiles," Energies, MDPI, vol. 14(21), pages 1-19, October.
    6. Mageswaran Rengasamy & Sivasankar Gangatharan & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "The Motivation for Incorporation of Microgrid Technology in Rooftop Solar Photovoltaic Deployment to Enhance Energy Economics," Sustainability, MDPI, vol. 12(24), pages 1-27, December.
    7. Pinto, Giuseppe & Deltetto, Davide & Capozzoli, Alfonso, 2021. "Data-driven district energy management with surrogate models and deep reinforcement learning," Applied Energy, Elsevier, vol. 304(C).
    8. Jiang, Xin & Jin, Yang & Zheng, Xueyuan & Hu, Guobao & Zeng, Qingshan, 2020. "Optimal configuration of grid-side battery energy storage system under power marketization," Applied Energy, Elsevier, vol. 272(C).
    9. Ran, Fengming & Gao, Dian-ce & Zhang, Xu & Chen, Shuyue, 2020. "A virtual sensor based self-adjusting control for HVAC fast demand response in commercial buildings towards smart grid applications," Applied Energy, Elsevier, vol. 269(C).
    10. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    11. Xin-gang, Zhao & Ze-qi, Zhang & Yi-min, Xie & Jin, Meng, 2020. "Economic-environmental dispatch of microgrid based on improved quantum particle swarm optimization," Energy, Elsevier, vol. 195(C).
    12. Xie, Kang & Hui, Hongxun & Ding, Yi & Song, Yonghua & Ye, Chengjin & Zheng, Wandong & Ye, Shuiquan, 2022. "Modeling and control of central air conditionings for providing regulation services for power systems," Applied Energy, Elsevier, vol. 315(C).
    13. Eskander, Monica M. & Silva, Carlos A., 2023. "Techno-economic and environmental comparative analysis for DC microgrids in households: Portuguese and French household case study," Applied Energy, Elsevier, vol. 349(C).
    14. Das, Laya & Garg, Dinesh & Srinivasan, Babji, 2020. "NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid," Applied Energy, Elsevier, vol. 257(C).
    15. Wang, Ting & Zhang, Chunyan & Hao, Zhiguo & Monti, Antonello & Ponci, Ferdinanda, 2023. "Data-driven fault detection and isolation in DC microgrids without prior fault data: A transfer learning approach," Applied Energy, Elsevier, vol. 336(C).
    16. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Georghiou, George E., 2021. "Social arrangements, technical designs and impacts of energy communities: A review," Renewable Energy, Elsevier, vol. 169(C), pages 1138-1156.
    17. Buttitta, Giuseppina & Jones, Colin N. & Finn, Donal P., 2021. "Evaluation of advanced control strategies of electric thermal storage systems in residential building stock," Utilities Policy, Elsevier, vol. 69(C).
    18. da Fonseca, André L.A. & Chvatal, Karin M.S. & Fernandes, Ricardo A.S., 2021. "Thermal comfort maintenance in demand response programs: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    19. Sun, Yue & Luo, Zhiwen & Li, Yu & Zhao, Tianyi, 2024. "Grey-box model-based demand side management for rooftop PV and air conditioning systems in public buildings using PSO algorithm," Energy, Elsevier, vol. 296(C).
    20. Xiao, Xianyong & Zhang, Mingshun & Yang, Ruohuan & Chen, Xiaoyuan & Zheng, Zixuan, 2024. "Superconducting magnetic energy storage based modular interline dynamic voltage restorer for renewable-based MTDC network," Applied Energy, Elsevier, vol. 371(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:15:y:2022:i:19:p:7045-:d:924863. 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.