Special Issue "Energy Management Based on Internet of Things"

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

Deadline for manuscript submissions: 29 February 2020.

Special Issue Editors

Prof. Dr. Antonio Moreno-Munoz
E-Mail Website
Guest Editor
Department of Electronics and Computer Engineering, University of Cordoba, Cordoba, Spain
Tel. +34957218373
Interests: Internet of energy; smart grids; power quality; electronic instrumentation; usability of complex systems
Special Issues and Collections in MDPI journals
Dr. Emilio José Palacios-García
E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, Pontoppidanstræde 111, Aalborg Ø 9220, Denmark
Interests: smart grids; energy modelling; energy management systems; demand response strategies; energy digitalisation; IoT energy applications
Prof. Dr. Juan C. Vasquez
grade E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, Pontoppidanstræde 111, Aalborg Ø 9220, Denmark
Interests: microgrids; renewable energy; minigrids; distributed generation; islanded energy systems; distributed and hierarchical control; energy internet; IoT-based smart energy homes
Special Issues and Collections in MDPI journals
Prof. Dr. Josep M. Guerrero
grade E-Mail Website
Guest Editor
Department of Energy Technology, Aalborg University, Pontoppidanstræde 111, Aalborg Ø 9220, Denmark
Tel. +4599409726
Interests: microgrids; minigrids; islanded energy systems; distributed generation; renewable energy; hierarchical control; distributed control; maritime microgrids, onboard grids
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The integration of renewable energy sources (RES) at both network and household levels, as well as the pursuit of more sustainable energy consumption, has boosted the research of new energy management systems (EMS) that allow these elements to be coordinated in a reliable manner.

This task presents itself as a great challenge due to the uncertainty of the RES as well as the difficulty in predicting the behavior of the consumer elements. In this way, the implementation of any EMS, demand response (DR) strategies or another type of demand-side management (DSM) program requires the collection of a large amount of data, its subsequent processing, and the appropriate action on the resources to be managed.

In this context, the Internet of Things (IoT) emerges as the best solution to these challenges when considering the unforeseen massive data collection from sensors and actuators within current energy systems. What is more, it will unlock the potential of advance processing strategies based on cutting edge applications of artificial intelligence, big data or blockchain to name a few.

This Special Issue on “Energy Management Based on Internet of Things” is focused on state-of-the innovations in IoT-based infrastructures, communication and networking systems, control architectures, cyber-physical energy systems, and practical implementation of digital technologies in smart grid applications. Topics include but are not limited to:

  • IoT-drive solutions for EMS and DR;
  • Energy digitalization;
  • Smart Community, Smart Building, and Smart Home IoT solutions;
  • Blockchain-based P2P energy trading systems;
  • Data-driven management of energy systems.

Prof. Dr. Antonio Moreno-Munoz
Dr. Emilio José Palacios-García
Prof. Dr. Juan C. Vasquez
Prof. Dr. Josep M. Guerrero
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 papers will be 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 monthly 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 1400 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

  • Smart grids
  • Energy management system
  • Demand response
  • Smart appliances
  • Smart buildings
  • Internet of Things
  • Grid digitalization
  • Big Data
  • Artificial Intelligence
  • Blockchain

Published Papers (2 papers)

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Research

Open AccessFeature PaperArticle
Experiments on a Real-Time Energy Management System for Islanded Prosumer Microgrids
Electronics 2019, 8(9), 925; https://doi.org/10.3390/electronics8090925 - 23 Aug 2019
Abstract
This paper presents an experimental demonstration of a novel real-time Energy Management System (EMS) for inverter-based microgrids to achieve optimal economic operation using a simple dynamic algorithm without offline optimization process requirements. The dynamic algorithm solves the economic dispatch problem offering an adequate [...] Read more.
This paper presents an experimental demonstration of a novel real-time Energy Management System (EMS) for inverter-based microgrids to achieve optimal economic operation using a simple dynamic algorithm without offline optimization process requirements. The dynamic algorithm solves the economic dispatch problem offering an adequate stability performance and an optimal power reference tracking under sudden load and generation changes. Convergence, optimality and frequency regulation properties of the real-time EMS are shown, and the effectiveness and compatibility with inner and primary controllers are validated in experiments, showing better performance on optimal power tracking and frequency regulation than conventional droop control power sharing techniques. Full article
(This article belongs to the Special Issue Energy Management Based on Internet of Things)
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Open AccessFeature PaperArticle
LoBEMS—IoT for Building and Energy Management Systems
Electronics 2019, 8(7), 763; https://doi.org/10.3390/electronics8070763 - 08 Jul 2019
Cited by 1
Abstract
This work presents the efforts on optimizing energy consumption by deploying an energy management system using the current IoT component/system/platform integration trends through a layered architecture. LoBEMS (LoRa Building and Energy Management System), the proposed platform, was built with the mindset of proving [...] Read more.
This work presents the efforts on optimizing energy consumption by deploying an energy management system using the current IoT component/system/platform integration trends through a layered architecture. LoBEMS (LoRa Building and Energy Management System), the proposed platform, was built with the mindset of proving a common platform that would integrate multiple vendor locked-in systems together with custom sensor devices, providing critical data in order to improve overall building efficiency. The actions that led to the energy savings were implemented with a ruleset that would control the already installed air conditioning and lighting control systems. This approach was validated in a kindergarten school during a three-year period, resulting in a publicly available dataset that is useful for future and related research. The sensors that feed environmental data to the custom energy management system are composed by a set of battery operated sensors tied to a System on Chip with a LoRa communication interface. These sensors acquire environmental data such as temperature, humidity, luminosity, air quality but also motion. An already existing energy monitoring solution was also integrated. This flexible approach can easily be deployed to any building facility, including buildings with existing solutions, without requiring any remote automation facilities. The platform includes data visualization templates that create an overall dashboard, allowing management to identify actions that lead to savings using a set of pre-defined actions or even a manual mode if desired. The integration of the multiple systems (air-conditioning, lighting and energy monitoring) is a key differentiator of the proposed solution, especially when the top energy consumers for modern buildings are cooling and heating systems. As an outcome, the evaluation of the proposed platform resulted in a 20% energy saving based on these combined energy saving actions. Full article
(This article belongs to the Special Issue Energy Management Based on Internet of Things)
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