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Smart Home Technologies Based on IoT Concepts
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Smart Home Technologies Based on IoT Concepts

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G1: Smart Cities and Urban Management".

Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 9729

Special Issue Editors

Dr. José A. Afonso

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Guest Editor
1. CMEMS—UMinho, University of Minho, 4800-058 Guimarães, Portugal
2. LABBELS—Associate Laboratory, University of Minho, 4710-057 Braga, Portugal
3. Department of Industrial Electronics, University of Minho, Campus of Azurém, 4800-058 Guimarães, Portugal
Interests: internet of things; wireless sensor networks; body sensor network; mobile phone sensing; quality of service; medium access control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Joao L. Afonso

E-Mail Website
Guest Editor
Department of Industrial Electronics, School of Engineering, University of Minho, 4800-058 Guimaraes, Portugal
Interests: power electronics; power quality; active power filters; renewable energy; energy efficiency; electric vehicles; energy storage systems; battery charging systems; smart grids; smart cities; smart homes; technologies for innovative railway systems
Special Issues, Collections and Topics in MDPI journals
Dr. Vítor Monteiro

E-Mail Website
Guest Editor
Algoritmi Research Centre, Department of Industrial Electronics, University of Minho, 4800-058 Guimarães, Portugal
Interests: power electronics converters; electric mobility; renewable energy sources; digital control techniques; smart grids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet is a fundamental part of our day-to-day lives, and is increasingly present in household equipment through the Internet of Things (IoT), making them more intelligent and contributing to spread the smart home concept. A smart home can be defined as a residence equipped with information and communication technologies that enable the provision of useful services to its occupants, revolutionizing the way we connect to our home. The explosive growth, in recent years, of IoT and its associated technologies amplified the interest and available resources for the development and proliferation of smart home technologies and applications.

Among the multiple smart home application areas, the management of power production and consumption is a hot research area, which has seen increased interest recently due to the demand for renewable energy sources, energy storage technologies, and electric mobility.

This Special Issue aims to joining contributions from academics and researchers with technical or scientific works focusing on smart homes and IoT technologies with application to energy monitoring, control and management. The topics of interest for publication include, but are not limited to:

  • Wireless sensor networks for energy monitoring and control
  • Cloud computing and IoT applied to residential power management
  • Smart sensors and devices for energy applications
  • Smart home protocols for energy systems
  • Smart homes as key enablers of smart grids
  • Artificial intelligence techniques for energy management
  • Demand response systems and algorithms
  • Smart home energy management applications
  • Electric mobility G2V/V2G modes controlled by IoT technologies in smart homes
  • IoT technologies for managing the power production from renewables in smart homes
  • Smart electrical appliances

Prof. Dr. Jose A. Afonso
Prof. Dr. João L. Afonso
Prof. Dr. Vítor Monteiro
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. Energies 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 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

  • smart homes
  • internet of things
  • wireless sensor networks
  • energy management
  • smart grid
  • artificial intelligence

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Published Papers (3 papers)

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21 pages, 6685 KiB  
Article
Smart Wireless Climate Sensor Node for Indoor Comfort Quality Monitoring Application
by C. Bambang Dwi Kuncoro, Arvanida Feizal Permana, Moch Bilal Zaenal Asyikin and Cornelia Adristi
Energies 2022, 15(8), 2939; https://doi.org/10.3390/en15082939 - 16 Apr 2022
Cited by 9 | Viewed by 2628
Abstract
The indoor environment climate should be controlled by continuously maintaining the temperature and relative humidity to achieve thermal comfort. A monitoring system of both parameters is the first step to improving indoor comfort quality. This paper presents a smart wireless climate sensor node [...] Read more.
The indoor environment climate should be controlled by continuously maintaining the temperature and relative humidity to achieve thermal comfort. A monitoring system of both parameters is the first step to improving indoor comfort quality. This paper presents a smart wireless climate sensor node for indoor temperature and humidity monitoring with a powering strategy and design approach for autonomous operation. The data logging results are sent to the cloud using Internet of Things protocol for thermal comfort monitoring and analysis. The monitoring and analysis results are useful to monitor and control the indoor thermal comfort condition for room occupants. A sensor node was designed that includes a low-power mode and compact size features. It consists of a built-in AVR-based microcontroller, a temperature and humidity sensor, and a wireless module with a supercapacitor as the power storage. A low-power algorithm and Internet of Things system were implemented to reduce the total energy consumption as low as possible during operation while improving the thermal comfort quality. This developed sensor node has a small error for temperature, and relative humidity sensed values resulting from calibration. At the same time, it also consumes low power for one cycle of data acquisition. The device was integrated with an Internet of Things monitoring system to monitor indoor thermal comfort in the field experiment. The experiment results showed that the indoor temperature and relative humidity were measured and recorded in the range of 25–30 °C and 30–40%, respectively. This prototype is a preliminary design to achieve an autonomous sensor node with a low-power energy consumption goal. Thus, with this feature, the developed sensor node has potential to couple with a micro energy harvester module toward a fully autonomous active node in further development. Full article
(This article belongs to the Special Issue Smart Home Technologies Based on IoT Concepts)
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26 pages, 3437 KiB  
Article
Blockchain and Internet of Things for Electrical Energy Decentralization: A Review and System Architecture
by Manuel Casquiço, Bruno Mataloto, Joao C. Ferreira, Vitor Monteiro, Joao L. Afonso and Jose A. Afonso
Energies 2021, 14(23), 8043; https://doi.org/10.3390/en14238043 - 1 Dec 2021
Cited by 13 | Viewed by 3091
Abstract
The decentralization in the electrical power grids has gained increasing importance, especially in the last two decades, since transmission system operators (TSO), distribution system operators (DSO) and consumers are more aware of energy efficiency and energy sustainability issues. Therefore, globally, due to the [...] Read more.
The decentralization in the electrical power grids has gained increasing importance, especially in the last two decades, since transmission system operators (TSO), distribution system operators (DSO) and consumers are more aware of energy efficiency and energy sustainability issues. Therefore, globally, due to the introduction of energy production technologies near the consumers, in residential and industrial sectors, new scenarios of distributed energy resources (DER) are emerging. In order to guarantee an adequate power management in the electrical power grids, incorporating producers, consumers and producers-consumers (prosumers) together, it is important to adopt intelligent systems and platforms that allow the provision of information on energy consumption and production in real time, as well as for obtaining a fair price for the sale and purchase of energy. In this paper, we analyze the literature to identify the appropriate solutions to implement a decentralized electrical power grid based on sensors, blockchain and smart contracts, evaluating the current state of the art and pilot projects already in place. We also discuss a proposal for a power grid model, with renewable energy production, combining Internet of Things, blockchain and smart contracts. Full article
(This article belongs to the Special Issue Smart Home Technologies Based on IoT Concepts)
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27 pages, 5470 KiB  
Article
Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques
by Karol Bot, Inoussa Laouali, António Ruano and Maria da Graça Ruano
Energies 2021, 14(18), 5852; https://doi.org/10.3390/en14185852 - 16 Sep 2021
Cited by 15 | Viewed by 2413
Abstract
At a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy [...] Read more.
At a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy system. In this work, we propose a Home Energy Management System (HEMS) by employing a Model-Based Predictive Control (MBPC) framework, implemented using a Branch-and-Bound (BAB) algorithm. We discuss the selection of different parameters, such as time-step, to employ prediction and control horizons and the effect of the weather in the system performance. We compare the economic performance of the proposed approach against a real PV-battery system existing in a household equipped with several IoT devices, concluding that savings larger than 30% can be obtained, whether on sunny or cloudy days. To the best of our knowledge, these are excellent values compared with existing solutions available in the literature. Full article
(This article belongs to the Special Issue Smart Home Technologies Based on IoT Concepts)
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