Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.8
3.9
Journals
Sustainability
Special Issues
Electric Power Equipment Sustainable Development
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Electric Power Equipment Sustainable Development

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 December 2022) | Viewed by 3842

Special Issue Editors

Dr. Junhao Li

E-Mail Website
Guest Editor
School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: power equipment sustainable growth; condition assessment; fault detection; new energy equipment; reliability of power equipment; low-carbon management
Dr. Xutao Han

E-Mail
Guest Editor
School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: new energy transmission; new energy power equipment modeling; detection for wind generator; simulation

Special Issue Information

Dear Colleagues,

In the past few decades, the power industry has developed rapidly, and UHV power systems have increased in large numbers with respect to commercial operations in China. In response to events such as environmental protection and global warming, the energy system has gradually changed from mainly fossil energy to new energy represented by wind, solar, and biomass energy. With the increase in the scale of power system and the transformation of energy utilization methods, more and more power equipment is used in operation, such as power transformers, gas-insulated switchgear, generators, and power electronics devices, and the sustainability requirements for power equipment are becoming stricter. The sustainable development of power equipment is mainly reflected in several dimensions: the use of more environmentally friendly materials to manufacture power equipment; the use of equipment state modeling to provide accurate assessment results for the equipment state in order to ensure long-term sustainable operation; the use of new manufacturing technology to ensure long-term reliability relative to new energy electrical equipment; and adopting new methods to provide efficient management and economic operation of electric power equipment, etc.

At the same time, the development of new technologies such as Big Data and artificial intelligence also provides new tools for the sustainable development of electrical equipment: utilizing Big Data in order to analyze and mine fault information contained in the equipment; providing early warning to ensure that the equipment does not have catastrophic accidents; and using artificial intelligence to identify the internal defects of the equipment and providing accurate early warning.

This Special Issue aims at attracting original high-quality papers and review articles focused on environmental friendly electrical equipment, condition assessment of power equipment, new energy equipment, efficient management and economic operation for power equipment, data analysis, and data-driven applications for power equipment sustainability. We willingly welcome all researchers to consider technological advances in electric power equipment sustainable development technologies, and, further, to contribute to sustainable growth of the power system.

Prospective authors may submit contributions reslated to (but not limited to) the following:

  • Development of environmentally friendly and low-carbon electric power equipment;
  • Long-term operational sustainability of electric power equipment;
  • Reliability and economy of new energy electric power equipment;
  • Electric power equipment fault detection and condition assessment;
  • Efficient management and economic operation of electric power equipment;
  • Life cycle cost management for electric power equipment;
  • Data analysis and data-driven applications for electric power equipment sustainability;
  • Any subjects relevant to sustainability in electric power equipment

Dr. Junhao Li
Dr. Xutao Han
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable development
  • electric power equipment
  • low-carbon
  • environmentally friendly
  • new energy
  • reliability
  • economy operation
  • condition assessment
  • fault detection

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

24 pages, 11084 KiB  
Article
Development of a Low-Cost Remote Fault Detection System for a Photovoltaic Power Plant
by Kuei-Hsiang Chao, Wen-Cheng Pu and Hsuan-Hao Chen
Sustainability 2022, 14(24), 16596; https://doi.org/10.3390/su142416596 - 11 Dec 2022
Viewed by 1017
Abstract
The main purpose of this study is to develop a cost-effective photovoltaic module array (PVMA) fault detection system. The system installs a fault detection module in the junction box at the back of each photovoltaic module (PVM), connects it to the Wi-Fi on [...] Read more.
The main purpose of this study is to develop a cost-effective photovoltaic module array (PVMA) fault detection system. The system installs a fault detection module in the junction box at the back of each photovoltaic module (PVM), connects it to the Wi-Fi on the case site, and transfers data and information to the server for data analysis. The PVM outputs the voltage to the isolated DC-DC power module as the power supply of the overall circuits. The fault detection module sends data to the message queuing telemetry transport (MQTT) broker through the protocol in MQTT. As for the server host end, the visualization IoT development tool Node-RED is set up to display complex data sent by the fault detection module by means of data visualization. At the same time, it is linked to the open source time series database (OSTSDB) to process time series data. Finally, the results of the PVM are instantly sent to the maintenance personnel through an exception alert notification in order to inform the maintenance personnel to quickly rule out the failure. As the developed fault detection system hardware is more cost-effective than existing detection systems, the cost-effectiveness is favorable for mass production with market competitiveness. Full article
(This article belongs to the Special Issue Electric Power Equipment Sustainable Development)
►▼ Show Figures

Figure 1

19 pages, 4955 KiB  
Article
Research on Promotion and Application Strategy of Electric Equipment in Plateau Railway Tunnel Based on Evolutionary Game
by Xiaoxu Yang, Yuming Liu, Kai Liu, Guangzhong Hu and Xi Zhao
Sustainability 2022, 14(22), 15309; https://doi.org/10.3390/su142215309 - 17 Nov 2022
Cited by 4 | Viewed by 1035
Abstract
Under China’s modern development concept, it is necessary to promote the application of electric equipment to improve the construction environment of high-altitude railway tunnels and to address the efficiency reduction in high-altitude construction of traditional fuel oil equipment. Based on the analysis of [...] Read more.
Under China’s modern development concept, it is necessary to promote the application of electric equipment to improve the construction environment of high-altitude railway tunnels and to address the efficiency reduction in high-altitude construction of traditional fuel oil equipment. Based on the analysis of the development status of electric equipment for tunneling projects in China, a tripartite evolutionary game approach is used to establish the game payment matrix of the government, equipment manufacturers, and construction units. The impact of the relevant parameters on the tripartite strategy is investigated based on numerical simulations. It has been shown that in the early stages of popularization and application, the government should actively regulate and control, and in the later stages of popularization and application, the government should play a leading role in market mechanisms. Evolutionary stability strategies are affected by the brand revenue that manufacturers earn through technological innovation on electric equipment and the additional research and development costs that need to be paid. The conclusions of this study can help provide a reference for the promotion and application strategy of electric equipment in China’s plateau railway tunnels. Full article
(This article belongs to the Special Issue Electric Power Equipment Sustainable Development)
►▼ Show Figures

Figure 1

29 pages, 8539 KiB  
Article
Multiple Industrial Induction Motors Fault Diagnosis Model within Powerline System Based on Wireless Sensor Network
by Saud Altaf, Shafiq Ahmad, Mazen Zaindin, Shamsul Huda, Sofia Iqbal and Muhammad Waseem Soomro
Sustainability 2022, 14(16), 10079; https://doi.org/10.3390/su141610079 - 15 Aug 2022
Cited by 1 | Viewed by 1250
Abstract
The voltage supply of induction motors of various sizes is typically provided by a shared power bus in an industrial production powerline network. A single motor’s dynamic behavior produces a signal that travels along the powerline. Powerline networks are efficient at transmitting and [...] Read more.
The voltage supply of induction motors of various sizes is typically provided by a shared power bus in an industrial production powerline network. A single motor’s dynamic behavior produces a signal that travels along the powerline. Powerline networks are efficient at transmitting and receiving signals. This could be an indication that there is a problem with the motor down immediately from its location. It is possible for the consolidated network signal to become confusing. A mathematical model is used to measure and determine the possible known routing of various signals in an electricity network based on attenuation and estimate the relationship between sensor signals and known fault patterns. A laboratory WSN based induction motors testbed setup was developed using Xbee devices and microcontroller along with the variety of different-sized motors to verify the progression of faulty signals and identify the type of fault. These motors were connected in parallel to the main powerline through this architecture, which provided an excellent concept for an industrial multi-motor network modeling lab setup. A method for the extraction of Xbee node-level features has been developed, and it can be applied to a variety of datasets. The accuracy of the real-time data capture is demonstrated to be very close data analyses between simulation and testbed measurements. Experimental results show a comparison between manual data gathering and capturing Xbee sensor nodes to validate the methodology’s applicability and accuracy in locating the faulty motor within the power network. Full article
(This article belongs to the Special Issue Electric Power Equipment Sustainable Development)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop