IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i1d10.1007_s13198-021-01419-x.html
   My bibliography  Save this article

Simulation and inspection of fault arc in building energy-saving distribution system

Author

Listed:
  • Chunwang Xiaogeng LiRen

    (Union University)

  • Xiaojun Ma

    (Union University)

  • Fuxiang Chen

    (Union University)

  • Zhicheng Yang

    (Union University)

  • Sandeep Panchal

    (Government Polytechnic Mankeda, Uttar Pradesh)

Abstract

To achieve sustainability in modern society, the energy efficiency is a major concern. Smart cities sustainability depends on the availability of energy-efficient infrastructures and services. Buildings in the city are responsible for most of the energy consumption and emissions to the atmosphere (40%). The smart buildings are required by the smart cities for the sustainability goals achievement. To study the simulation of fault arc in building energy-saving distribution system is the aim of the paper. By modeling the fault arc in low voltage power supply and distribution lines of buildings, the characteristics of fault arc were analyzed. The wavelet analysis method is used to denoise and extract features of the collected data. Compared with Fourier transform method, the situation when the load changes in the circuit is analyzed. The simulation results show that the method can effectively detect the singularity of fault arc and accurately identify fault arc. In one cycle (0.02 s), the electric power input to the arc reaches 1000 W, so the energy input to the fault arc in 3.2–5 s will be very high. Multi-resolution analysis is carried out on the signal by wavelet transform, and the feature vector of the signal is extracted. Artificial neural network is used to identify the fault of the input feature vector. Simulation results show that this method has good fault recognition performance.

Suggested Citation

  • Chunwang Xiaogeng LiRen & Xiaojun Ma & Fuxiang Chen & Zhicheng Yang & Sandeep Panchal, 2022. "Simulation and inspection of fault arc in building energy-saving distribution system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 331-339, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01419-x
    DOI: 10.1007/s13198-021-01419-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01419-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01419-x?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. Hong-Keun Ji & Guoming Wang & Gyung-Suk Kil, 2020. "Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards," Energies, MDPI, vol. 13(22), pages 1-16, November.
    2. César Benavente-Peces & Nisrine Ibadah, 2020. "Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers," Energies, MDPI, vol. 13(13), pages 1-24, July.
    3. Cai, Baoping & Liu, Yonghong & Fan, Qian & Zhang, Yunwei & Liu, Zengkai & Yu, Shilin & Ji, Renjie, 2014. "Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network," Applied Energy, Elsevier, vol. 114(C), pages 1-9.
    4. Venkata Anand Prabhala & Bhanu Prashant Baddipadiga & Poria Fajri & Mehdi Ferdowsi, 2018. "An Overview of Direct Current Distribution System Architectures & Benefits," Energies, MDPI, vol. 11(9), pages 1-20, September.
    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. Liu, Zengkai & Liu, Yonghong & Zhang, Dawei & Cai, Baoping & Zheng, Chao, 2015. "Fault diagnosis for a solar assisted heat pump system under incomplete data and expert knowledge," Energy, Elsevier, vol. 87(C), pages 41-48.
    2. Garshasbi, Mohammad Sadeq, 2016. "Fault localization based on combines active and passive measurements in computer networks by ant colony optimization," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 205-212.
    3. 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.
    4. Chen, Xiaoyuan & Jiang, Shan & Chen, Yu & Lei, Yi & Zhang, Donghui & Zhang, Mingshun & Gou, Huayu & Shen, Boyang, 2022. "A 10 MW class data center with ultra-dense high-efficiency energy distribution: Design and economic evaluation of superconducting DC busbar networks," Energy, Elsevier, vol. 250(C).
    5. Jianjia He & Thi Hoai Thuong Mai, 2021. "The Circular Economy: A Study on the Use of Airbnb for Sustainable Coastal Development in the Vietnam Mekong Delta," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    6. Xunzhi Yin & Jiaqi Yu & Qi Dong & Yongheng Jia & Cheng Sun, 2020. "Energy Sustainability of Rural Residential Buildings with Bio-Based Building Fabric in Northeast China," Energies, MDPI, vol. 13(21), pages 1-14, November.
    7. Anastasios I. Dounis, 2022. "Machine Intelligence in Smart Buildings," Energies, MDPI, vol. 16(1), pages 1-5, December.
    8. Özkan Uğurlu & Serdar Yıldız & Sean Loughney & Jin Wang & Shota Kuntchulia & Irakli Sharabidze, 2020. "Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2610-2638, December.
    9. Fam, Mei Ling & He, Xuhong & Konovessis, Dimitrios & Ong, Lin Seng, 2020. "Using Dynamic Bayesian Belief Network for analysing well decommissioning failures and long-term monitoring of decommissioned wells," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    10. Wang, Zhanwei & Wang, Zhiwei & He, Suowei & Gu, Xiaowei & Yan, Zeng Feng, 2017. "Fault detection and diagnosis of chillers using Bayesian network merged distance rejection and multi-source non-sensor information," Applied Energy, Elsevier, vol. 188(C), pages 200-214.
    11. Ali Behravan & Bahareh Kiamanesh & Roman Obermaisser, 2021. "Fault Diagnosis of DCV and Heating Systems Based on Causal Relation in Fuzzy Bayesian Belief Networks Using Relation Direction Probabilities," Energies, MDPI, vol. 14(20), pages 1-47, October.
    12. Cai, Baoping & Xie, Min & Liu, Yonghong & Liu, Yiliu & Feng, Qiang, 2018. "Availability-based engineering resilience metric and its corresponding evaluation methodology," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 216-224.
    13. Feng, Qiang & Bi, Xiong & Zhao, Xiujie & Chen, Yiran & Sun, Bo, 2017. "Heuristic hybrid game approach for fleet condition-based maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 166-176.
    14. Boning Wu & Xuesong Zhou & Youjie Ma, 2020. "Bus Voltage Control of DC Distribution Network Based on Sliding Mode Active Disturbance Rejection Control Strategy," Energies, MDPI, vol. 13(6), pages 1-21, March.
    15. Song, Yufei & Mi, Jinhua & Cheng, Yuhua & Bai, Libing & Chen, Kai, 2020. "A dependency bounds analysis method for reliability assessment of complex system with hybrid uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    16. Dui, Hongyan & Si, Shubin & Yam, Richard C.M., 2017. "A cost-based integrated importance measure of system components for preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 98-104.
    17. Ren, Yi & Fan, Dongming & Feng, Qiang & Wang, Zili & Sun, Bo & Yang, Dezhen, 2019. "Agent-based restoration approach for reliability with load balancing on smart grids," Applied Energy, Elsevier, vol. 249(C), pages 46-57.
    18. Aguilera, José Joaquín & Meesenburg, Wiebke & Ommen, Torben & Markussen, Wiebke Brix & Poulsen, Jonas Lundsted & Zühlsdorf, Benjamin & Elmegaard, Brian, 2022. "A review of common faults in large-scale heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    19. Hernández, José L. & de Miguel, Ignacio & Vélez, Fredy & Vasallo, Ali, 2024. "Challenges and opportunities in European smart buildings energy management: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    20. Van-Long Pham & Keiji Wada, 2020. "Applications of Triple Active Bridge Converter for Future Grid and Integrated Energy Systems," Energies, MDPI, vol. 13(7), pages 1-22, April.

    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:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01419-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.