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Energy Monitoring Technologies
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Energy Monitoring Technologies

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (30 January 2022) | Viewed by 10197

Special Issue Editor

Prof. Dr. Filipe Magno de Gouveia Quintal

E-Mail Website
Guest Editor
Larys-ITI, Faculty of Exact Sciences and Engineering, Penteada University Campus, University of Madeira, 9000-082 Funchal, Portugal
Interests: sustainability; eco-feedback; user interfaces; prototyping; ubiquitous computing

Special Issue Information

Dear Colleagues,

Energy Monitoring Technologies comprise a very wide field of research. A significant portion of the work presented in different Issues of this journal result from or expect the existence of energy consumption data, which attests the importance of work in this field.

This Special Issue on Energy Monitoring Technologies aims to gather contributions from different fields of science in the development and evaluation of monitoring technologies.

We are calling for the submission of innovative works regarding the development of sensing technologies to measure energy consumption in fields including (but not limited to) electricity, fuel, and water. Furthermore, this Special Issue also expects contributions from work on how to aggregate and present data collected from energy monitoring technologies for the end user, which could be from fellow researchers, energy industry professionals, or energy consumers.

We also welcome works that evaluate how the access to energy monitoring technologies has enabled services such as demand response management, smart charging, eco-feedback, or even broader social sciences studies in the sustainability and climate change areas.

Prof. Dr. Filipe Magno de Gouveia Quintal
Guest Editor

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

  • Energy monitoring
  • Energy visualization
  • Energy management
  • Eco-feedback
  • Electric vehicles
  • Domestic consumption
  • Sensing
  • Energy consumers
  • User studies

Published Papers (5 papers)

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Editorial

Jump to: Research

2 pages, 154 KiB  
Editorial
Energy Monitoring Technologies
by Filipe Quintal
Energies 2022, 15(16), 5820; https://0-doi-org.brum.beds.ac.uk/10.3390/en15165820 - 11 Aug 2022
Cited by 1 | Viewed by 1032
Abstract
Energy monitoring is a vast field of research [...] Full article
(This article belongs to the Special Issue Energy Monitoring Technologies)
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Research

Jump to: Editorial

23 pages, 5246 KiB  
Article
Reduced Scale Laboratory for Training and Research in Condition-Based Maintenance Strategies for Combustion Engine Power Plants and a Novel Method for Monitoring of Inlet and Exhaust Valves
by Frederico de Oliveira Assuncao, Luiz Eduardo Borges-da-Silva, Helcio Francisco Villa-Nova, Erik Leandro Bonaldi, Levy Ely Lacerda Oliveira, Germano Lambert-Torres, Carlos Eduardo Teixeira, Wilson Cesar Sant’Ana, Josue Lacerda, Jose Luiz Marques da Silva Junior and Edenio Gomes da Silva
Energies 2021, 14(19), 6298; https://0-doi-org.brum.beds.ac.uk/10.3390/en14196298 - 02 Oct 2021
Cited by 4 | Viewed by 1819
Abstract
This paper presents the practical aspects of development of a reduced scale laboratory and a set of monitoring tools for Internal Combustion Engines used in Thermal Power Plants. The reduced scale laboratory is based on the necessity of researchers to test new sensors [...] Read more.
This paper presents the practical aspects of development of a reduced scale laboratory and a set of monitoring tools for Internal Combustion Engines used in Thermal Power Plants. The reduced scale laboratory is based on the necessity of researchers to test new sensors and monitoring strategies that, otherwise, are seldom allowed to be installed in real plants without certification. In addition, the reduced scale laboratory allows the flexibility to insert failures on purpose, in order to evaluate the performance of new sensors/strategies in a safe and controlled environment. The paper also presents the development of a set of reduced cost sensors for monitoring in-cylinder pressure, crank angle, and the position of inlet and exhaust valves (without using ultrasound sensors, which may produce noisy readings on engines operating on gas-diesel fuel mode). Full article
(This article belongs to the Special Issue Energy Monitoring Technologies)
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15 pages, 6304 KiB  
Article
Energy Monitoring in the Wild: Platform Development and Lessons Learned from a Real-World Demonstrator
by Filipe Quintal, Daniel Garigali, Dino Vasconcelos, Jonathan Cavaleiro, Wilson Santos and Lucas Pereira
Energies 2021, 14(18), 5786; https://0-doi-org.brum.beds.ac.uk/10.3390/en14185786 - 14 Sep 2021
Cited by 8 | Viewed by 1872
Abstract
This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and [...] Read more.
This paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom-made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world. Full article
(This article belongs to the Special Issue Energy Monitoring Technologies)
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17 pages, 2807 KiB  
Article
Condition Monitoring of Internal Combustion Engines in Thermal Power Plants Based on Control Charts and Adapted Nelson Rules
by Fernanda Mitchelly Vilas Boas, Luiz Eduardo Borges-da-Silva, Helcio Francisco Villa-Nova, Erik Leandro Bonaldi, Levy Ely Lacerda Oliveira, Germano Lambert-Torres, Frederico de Oliveira Assuncao, Claudio Inacio de Almeida Costa, Mateus Mendes Campos, Wilson Cesar Sant’Ana, Josue Lacerda, Jose Luiz Marques da Silva Junior and Edenio Gomes da Silva
Energies 2021, 14(16), 4924; https://0-doi-org.brum.beds.ac.uk/10.3390/en14164924 - 11 Aug 2021
Cited by 6 | Viewed by 2252
Abstract
In thermal power plants, the internal combustion engines are constantly subjected to stresses, requiring a continuous monitoring system in order to check their operating conditions. However, most of the time, these monitoring systems only indicate if the monitored parameters are in nonconformity close [...] Read more.
In thermal power plants, the internal combustion engines are constantly subjected to stresses, requiring a continuous monitoring system in order to check their operating conditions. However, most of the time, these monitoring systems only indicate if the monitored parameters are in nonconformity close to the occurrence of a catastrophic failure—they do not allow a predictive analysis of the operating conditions of the machine. In this paper, a statistical model, based on the statistical control process and Nelson Rules, is proposed to analyze the operational conditions of the machine based on the supervisory system data. The statistical model is validated through comparisons with entries of the plant logbook. It is demonstrated that the results obtained with the proposed statistical model match perfectly with the entries of the logbook, showing our model to be a promising tool for making decisions concerning maintenance in the plant. Full article
(This article belongs to the Special Issue Energy Monitoring Technologies)
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16 pages, 2720 KiB  
Article
A More Efficient Technique to Power Home Monitoring Systems Using Controlled Battery Charging
by Joaquim Amândio Azevedo and Filipe Edgar Santos
Energies 2021, 14(13), 3846; https://0-doi-org.brum.beds.ac.uk/10.3390/en14133846 - 25 Jun 2021
Cited by 5 | Viewed by 1767
Abstract
Home energy monitoring has recently become a very important issue and a means to reduce energy consumption in the residential sector. Sensors and control systems are deployed at various locations in a house and an intelligent system is used to efficiently manage the [...] Read more.
Home energy monitoring has recently become a very important issue and a means to reduce energy consumption in the residential sector. Sensors and control systems are deployed at various locations in a house and an intelligent system is used to efficiently manage the consumed energy. Low power communication systems are used to provide low power consumption from a smart meter. Several of these systems are battery operated. Other systems use AC/DC adapters to supply power to sensors and communication systems. However, even using low-power technology, such as ZigBee, the power consumption of a router can be high because it must always be powered on. In this work, to evaluate power consumption, a system for monitoring energy usage and indoor air quality was developed. A technique is proposed to efficiently supply power to the components of the system. All sensor nodes are battery operated, and relays are used to control the battery charging process. In addition, an energy harvesting system based on solar energy was developed to power the proposed system. Full article
(This article belongs to the Special Issue Energy Monitoring Technologies)
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