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Electronics
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IoT and Its Applications in Electric Energy Systems
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IoT and Its Applications in Electric Energy Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 16654

Special Issue Editors

Prof. Dr. Antonio Cano-Ortega

E-Mail Website
Guest Editor
Electrical Engineering Department, University of Jaen, Campus Las Lagunillas, s/n, 23071 Jaen, Spain
Interests: renewable energy; smart grids; microgrids; energy storage systems; hybrid electric systems; smart meter; power quality analyzers; IoT; LPWAN; electrical machines; energy efficiency
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Francisco Sánchez-Sutil

E-Mail Website
Guest Editor
Electrical Engineering Department, University of Jaen, Campus Las Lagunillas, s/n, 23071 Jaen, Spain
Interests: renewable energy; smart grids; microgrids; energy storage systems; hybrid electric systems; electric vehicles; smart meter; power quality analyzers; IoT; LPWAN; wireless sensor network
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, it is essential to have instant access to information from any location using mobile devices or computers. Electrical energy systems must integrate equipment that allows the monitoring, measurement, control and follow-up of domestic and industrial systems within the concept industry 4.0. Smart grids are part of Smart Cities that use systems for street lights control, energy smart meters, renewable energies and distributed micro-generation, etc. For these applications, the use of IoT and low-power long-range wireless networks (LPWAN) is fundamental to facilitate all the necessary tasks in the Smart grids. The development and expansion of the electric vehicle requires its monitoring, the state of charge of the batteries, the available autonomy and other electrical parameters. In this sense, the use of long-range networks, such as LoRa and NB-IoT, provide the basis for the development of all these functionalities. All the features described above for Smart Cities, with households, industries and electric vehicles must be monitored at all times. In this sense, the development of monitoring and control applications using mobile devices is a fundamental tool in this type of system, which complements all the possibilities offered by the IoT.

Prof. Dr. Antonio Cano-Ortega
Prof. Dr. Francisco Sánchez-Sutil
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. Electronics 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

  • Cloud computing
  • Smart electric meters
  • Smart power analyzers
  • Smart lighting systems for mart cities
  • Smart grids
  • Smart homes
  • Smart buildings
  • Smart meter networks
  • Monitor and control renewable energy sources
  • Distributed generation monitoring
  • Electrical energy saving and smart monitoring for Industry 4.0
  • Monitoring electrical vehicles
  • Wireless technologies: Wi-Fi, LoRa, ZigBee, Bluetooth, NB-IoT, …
  • LPWAN electrical networks.

Published Papers (3 papers)

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Research

37 pages, 35863 KiB  
Article
Design and Testing of a Power Analyzer Monitor and Programming Device in Industries with a LoRA LPWAN Network
by Francisco Sánchez-Sutil and Antonio Cano-Ortega
Electronics 2021, 10(4), 453; https://doi.org/10.3390/electronics10040453 - 11 Feb 2021
Cited by 7 | Viewed by 2441
Abstract
Electrical installations represent an important part of the industry. In this sense, knowing the state of the electrical installation in real time through the readings of the installed power analyzers is of vital importance. For this purpose, the RS485 bus can be used, [...] Read more.
Electrical installations represent an important part of the industry. In this sense, knowing the state of the electrical installation in real time through the readings of the installed power analyzers is of vital importance. For this purpose, the RS485 bus can be used, which most electrical installations already have. An alternative to the bus wiring and its distance limitation is the use of low-power wide area networks (LPWAN). The long range (LoRa) protocol is ideal for industries due to its low-power consumption and coverage of up to 10 km. In this research, a device is developed to control all the reading and programming functions of a power analyzer and to integrate the device into the LoRa LPWAN network. The power analyzer monitor and programming device (PAMPD) is inexpensive and small enough to be installed in electrical panels, together with the power analyzer, without additional wiring. The information collected is available in the cloud in real time, allowing a multitude of analysis be run and optimization in real time. The results support high efficiency in information transmission with average information loss rate of 3% and a low average transmission time of 30 ms. Full article
(This article belongs to the Special Issue IoT and Its Applications in Electric Energy Systems)
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28 pages, 10056 KiB  
Article
Smart Public Lighting Control and Measurement System Using LoRa Network
by F. Sánchez Sutil and Antonio Cano-Ortega
Electronics 2020, 9(1), 124; https://doi.org/10.3390/electronics9010124 - 9 Jan 2020
Cited by 40 | Viewed by 9545
Abstract
The installation of smart meters in smart cities to monitor streetlights (SLs) provides easy access to measurements of electrical variables and lighting levels, which improves the operation of installation. The use of smart meters in cities requires temporary high-resolution data to improve the [...] Read more.
The installation of smart meters in smart cities to monitor streetlights (SLs) provides easy access to measurements of electrical variables and lighting levels, which improves the operation of installation. The use of smart meters in cities requires temporary high-resolution data to improve the energy efficiency (EE) of SLs. Long range (LoRa) is an ideal wireless protocol for use in smart cities due to its low energy consumption, secure communications, and long range indoors and outdoors. For this purpose, we developed a low-cost new system and successfully evaluated it by developing three devices, namely the measure and control device for street lights (MCDSL), lighting level measurement device (LLMD) and gateway LoRa network (GWLN), based on the Arduino open-source electronic platform. This paper describes the hardware and software design and its implementation. Further, an algorithm has been developed to enhance the energy efficiency of public lights using MCDSL, the energy efficiency for street lights (EESL) algorithm, that use the illumination level measured on the same set of SLs with a dynamic control, which assumed different lighting levels throughout the night, and adjusted luminous flux based on the traffic intensity of pedestrians. It sends the acquired data through the LoRa low-power wide-area-network (LPWAN) to the cloud. Full article
(This article belongs to the Special Issue IoT and Its Applications in Electric Energy Systems)
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21 pages, 2653 KiB  
Article
ComfOnt: A Semantic Framework for Indoor Comfort and Energy Saving In Smart Homes
by Daniele Spoladore, Atieh Mahroo, Alberto Trombetta and Marco Sacco
Electronics 2019, 8(12), 1449; https://doi.org/10.3390/electronics8121449 - 1 Dec 2019
Cited by 24 | Viewed by 3636
Abstract
This work introduces ComfOnt, a semantic framework developed within the context of ambient assisted living, context awareness, and ambient intelligence Italian research projects. ComfOnt leverages knowledge regarding Smart Home inhabitants and their particular needs, the devices deployed inside the domestic environment (appliances, sensors, [...] Read more.
This work introduces ComfOnt, a semantic framework developed within the context of ambient assisted living, context awareness, and ambient intelligence Italian research projects. ComfOnt leverages knowledge regarding Smart Home inhabitants and their particular needs, the devices deployed inside the domestic environment (appliances, sensors, and actuators), the amount of their energy consumption, and indoor comfort metrics to provide dwellers with customized services. Developed reusing widely adopted ontologies, ComfOnt aims at providing inhabitants with the possibility of having personalized indoor comfort in their living environments and at helping them in scheduling their daily activities requiring appliances; in fact, the proposed semantic framework enables the representation of appliances’ energy consumption and the energy profile of the Smart Home, thus assisting the dwellers in avoiding power cuts and fostering energy savings. ComfOnt serves as a knowledge base for a prototypical application (DECAM) dedicated to Smart Home inhabitants; the architecture and the functionalities of DECAM are here presented. Full article
(This article belongs to the Special Issue IoT and Its Applications in Electric Energy Systems)
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