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Smart IoT System for Renewable Energy Resource-2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (22 March 2024) | Viewed by 1124

Special Issue Editors


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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

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,

Renewable energy resources are used as distributed generation (DG) units and installed near to where the energy is converted and consumed. Further, the integration of renewable energy sources at home is very important.

IoT helps smart grids to support various network functions throughout the generation, distribution, and consumption of energy by incorporating IoT devices (such as sensors, actuators, and smart meters), as well as by providing the connectivity, automation, and tracking for such devices. For these applications, the use of low-power long-range wireless networks (LPWAN) is fundamental to facilitate all the necessary tasks in the smart grids in City 4.0 and Industry 4.0.

The integration of renewable energies (photovoltaic solar, wind energy, biomass energy, hydroelectric energy, and other sources) in smart grids implies the monitoring of households, cities, industries, and electric vehicles at all times. In this sense, the development of monitoring and control applications using mobile devices is a fundamental tool in this type of systems, which complements all the possibilities offered by the IoT.

Smart energy meters are used to allow for communication between consumers and utility command centers to exchange messages about electrical consumption. Thus, it is essential to have access from any location and instant access to information using mobile devices or computers.

The development and expansion of the electric vehicle requires monitoring the state of charge of the batteries, the storage energy system, other electrical parameters, and the vehicle altogether. In this sense, the use of long-range networks such as LoRa and NB-IoT provides the basis for the development of all these functionalities.

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.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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 grids
  • smart meter networks
  • monitoring of renewable energy power plants: photovoltaic solar energy, wind energy, hydroelectric energy, biomass energy, and other renewable energy resources
  • distributed generation
  • efficient smart electrical energy
  • monitoring of storage energy system: batteries, supercapacitors, fuel cells, etc.
  • monitoring electrical vehicles
  • wireless technologies: Wi-Fi, LoRa, ZigBee, Bluetooth, NB-IoT, etc.
  • LPWAN electrical networks

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Published Papers (2 papers)

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28 pages, 1250 KiB  
Article
Hydrogen 4.0: A Cyber–Physical System for Renewable Hydrogen Energy Plants
by Ali Yavari, Christopher J. Harrison, Saman A. Gorji and Mahnaz Shafiei
Sensors 2024, 24(10), 3239; https://doi.org/10.3390/s24103239 - 20 May 2024
Viewed by 130
Abstract
The demand for green hydrogen as an energy carrier is projected to exceed 350 million tons per year by 2050, driven by the need for sustainable distribution and storage of energy generated from sources. Despite its potential, hydrogen production currently faces challenges related [...] Read more.
The demand for green hydrogen as an energy carrier is projected to exceed 350 million tons per year by 2050, driven by the need for sustainable distribution and storage of energy generated from sources. Despite its potential, hydrogen production currently faces challenges related to cost efficiency, compliance, monitoring, and safety. This work proposes Hydrogen 4.0, a cyber–physical approach that leverages Industry 4.0 technologies—including smart sensing, analytics, and the Internet of Things (IoT)—to address these issues in hydrogen energy plants. Such an approach has the potential to enhance efficiency, safety, and compliance through real-time data analysis, predictive maintenance, and optimised resource allocation, ultimately facilitating the adoption of renewable green hydrogen. The following sections break down conventional hydrogen plants into functional blocks and discusses how Industry 4.0 technologies can be applied to each segment. The components, benefits, and application scenarios of Hydrogen 4.0 are discussed while how digitalisation technologies can contribute to the successful integration of sustainable energy solutions in the global energy sector is also addressed. Full article
(This article belongs to the Special Issue Smart IoT System for Renewable Energy Resource-2nd Edition)
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20 pages, 3367 KiB  
Article
A Combined Persistence and Physical Approach for Ultra-Short-Term Photovoltaic Power Forecasting Using Distributed Sensors
by Yakov Malinkovich, Moshe Sitbon, Simon Lineykin, Kfir Jack Dagan and Dmitry Baimel
Sensors 2024, 24(9), 2866; https://doi.org/10.3390/s24092866 - 30 Apr 2024
Viewed by 382
Abstract
This paper presents a novel method for forecasting the impact of cloud cover on photovoltaic (PV) fields in the nowcasting term, utilizing PV panels as sensors in a combination of physical and persistence models and integrating energy storage system control. The proposed approach [...] Read more.
This paper presents a novel method for forecasting the impact of cloud cover on photovoltaic (PV) fields in the nowcasting term, utilizing PV panels as sensors in a combination of physical and persistence models and integrating energy storage system control. The proposed approach entails simulating a power network consisting of a 22 kV renewable energy source and energy storage, enabling the evaluation of network behavior in comparison to the national grid. To optimize computational efficiency, the authors develop an equivalent model of the PV + energy storage module, accurately simulating system behavior while accounting for weather conditions, particularly cloud cover. Moreover, the authors introduce a control system model capable of responding effectively to network dynamics and providing comprehensive control of the energy storage system using PID controllers. Precise power forecasting is essential for maintaining power continuity, managing overall power-system ramp rates, and ensuring grid stability. The adaptability of our method to integrate with solar fencing systems serves as a testament to its innovative nature and its potential to contribute significantly to the renewable energy field. The authors also assess various scenarios against the grid to determine their impact on grid stability. The research findings indicate that the integration of energy storage and the proposed forecasting method, which combines physical and persistence models, offers a promising solution for effectively managing grid stability. Full article
(This article belongs to the Special Issue Smart IoT System for Renewable Energy Resource-2nd Edition)
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