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Advanced Renewable Energy Generation Systems and Energy Harvesting Technologies
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Advanced Renewable Energy Generation Systems and Energy Harvesting Technologies

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

Deadline for manuscript submissions: closed (25 February 2023) | Viewed by 6294

Special Issue Editors

Dr. Simon Lineykin

E-Mail Website
Guest Editor
Department of Mechanical Engineering and Mechatronics, Ariel University, Ariel 40700, Israel
Interests: analog electronic design; ultra-low noise systems and sensors; magneto-electric sensors; magneto-optical sensors; system design using computer aided design software; modeling and emulation of the physical processes; precision motion control and positioning; power system analysis and design; RF and Terahertz system design; THz vision systems; VLSI; MEMS; micro-robots; active cooling systems using Peltier effect; thermoelectric power generation; control systems; energy harvesting
Special Issues, Collections and Topics in MDPI journals
Dr. Moshe Sitbon

E-Mail Website
Guest Editor
Department of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel
Interests: photovoltaics; renewable energy; renewable energy technologies; energy conversion; energy saving; power generation; electricity; electrical power engineering

Special Issue Information

Dear Colleagues,

This Special Issue covers a wide range of systems that use renewable and waste energy to convert it into electrical energy. These systems differ by their principle of operation (photovoltaic, magnetoelectric, thermoelectric, pyroelectric, piezoelectric, etc.), by energy sources (water, wind, sun, temperature gradients), and by the amount of energy that they produce.

The physical properties of direct energy converters and their combinations in devices of interest, mathematical models of energy conversion systems, engineering applications, efficiency optimization methods, output power maximization, electronic systems that allow tracking the maximum power point and their corresponding algorithms, energy storage devices, the use of the novel materials and technologies, and other topics directly related to systems for renewable energy generation and energy harvesting are all within the scope of the Special Issue.

We hope that this Special Issue provides an opportunity for researchers to share their achievements and become acquainted with their colleagues' achievements in this field.

Dr. Simon Lineykin
Dr. Moshe Sitbon
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. Sensors 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

  • waste energy harvesting
  • renewable energy generation
  • modeling of energy conversion processes
  • photovoltaic systems
  • thermoelectric generators
  • piezoelectric harvesters
  • magnetoelectrics harvesters
  • maximum power point tracking (MPPT) systems
  • grid balancing
  • energy storages

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

17 pages, 13738 KiB  
Article
Design, Development and Testing of a Monitoring System for the Study of Proton Exchange Fuel Cells and Stacks
by Milena L. Zambrano H, Antonio José Calderón, Manuel Calderón, Juan Félix González, Reinhardt Pinzón and José Rogelio Fábrega Duque
Sensors 2023, 23(11), 5221; https://doi.org/10.3390/s23115221 - 31 May 2023
Cited by 3 | Viewed by 1710
Abstract
This article is about the design, development and validation of a new monitoring architecture for individual cells and stacks to facilitate the study of proton exchange fuel cells. The system consists of four main elements: input signals, signal processing boards, analogue-to-digital converters (ADCs) [...] Read more.
This article is about the design, development and validation of a new monitoring architecture for individual cells and stacks to facilitate the study of proton exchange fuel cells. The system consists of four main elements: input signals, signal processing boards, analogue-to-digital converters (ADCs) and a master terminal unit (MTU). The latter integrates a high-level graphic user interface (GUI) software developed by National Instruments LABVIEW, while the ADCs are based on three digital acquisition units (DAQs). Graphs showing the temperature, currents and voltages in individual cells as well as stacks are integrated for ease of reference. The system validation was carried out both in static and dynamic modes of operation using a Ballard Nexa 1.2 kW fuel cell fed by a hydrogen cylinder, with a Prodigit 32612 electronic load at the output. The system was able to measure the voltage distributions of individual cells, and temperatures at different equidistant points of the stack both with and without an external load, validating its use as an indispensable tool for the study and characterization of these systems. Full article
(This article belongs to the Special Issue Advanced Renewable Energy Generation Systems and Energy Harvesting Technologies)
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17 pages, 8723 KiB  
Article
Current Sensorless Based on PI MPPT Algorithms
by Moacyr A. G. de Brito, Guilherme M. S. Martines, Anderson S. Volpato, Ruben B. Godoy and Edson A. Batista
Sensors 2023, 23(10), 4587; https://doi.org/10.3390/s23104587 - 9 May 2023
Cited by 3 | Viewed by 1762
Abstract
This paper presents novel current sensorless maximum-power point-tracking (MPPT) algorithms based on compensators/controllers and a single-input voltage sensor. The proposed MPPTs eliminate the expensive and noisy current sensor, which can significantly reduce the system cost and retain the advantages of the widely used [...] Read more.
This paper presents novel current sensorless maximum-power point-tracking (MPPT) algorithms based on compensators/controllers and a single-input voltage sensor. The proposed MPPTs eliminate the expensive and noisy current sensor, which can significantly reduce the system cost and retain the advantages of the widely used MPPT algorithms, such as Incremental Conductance (IC) and Perturb and Observe (P&O) algorithms. Additionally, it is verified that the proposed algorithms, especially the proposed Current Sensorless V based on PI, can reach outstanding tracking factors (TFs) such as the IC and P&O based on PI algorithms. In this sense, the insertion of controllers inside the MPPT gives them adaptive characteristics, and the experimental TFs are in the remarkable range of more than 99%, with an average yield of 99.51% and a peak of 99.80%. Full article
(This article belongs to the Special Issue Advanced Renewable Energy Generation Systems and Energy Harvesting Technologies)
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13 pages, 5134 KiB  
Communication
Development of a Pavement-Embedded Piezoelectric Harvester in a Real Traffic Environment
by Lucas Fraporti Heller, Lélio Antônio Teixeira Brito, Marcos Antônio Jeremias Coelho, Valner Brusamarello and Washington Peres Nuñez
Sensors 2023, 23(9), 4238; https://doi.org/10.3390/s23094238 - 24 Apr 2023
Cited by 4 | Viewed by 2386
Abstract
Road pavements are spread over large areas and convey various possibilities for energy sources such as high thermal gradients due to their materials and colors, wind corridors, large flat areas for solar harvesting, and heavy loading from traffic. The latest advances in road [...] Read more.
Road pavements are spread over large areas and convey various possibilities for energy sources such as high thermal gradients due to their materials and colors, wind corridors, large flat areas for solar harvesting, and heavy loading from traffic. The latest advances in road energy generation have been discretely implemented and have mainly focused on photovoltaic surface applications; other studies have explored the use of piezoelectric transducers with high stresses for better energy-production performance but limited life span. This study explores the stresses on pavement surfaces from traffic loading shockwaves that yield to the natural frequency vibration a piezoelectric harvester using a cantilever array. The passing vehicles triggered 16 piezoelectric sensors divided into four embedded steel profiles. The peak electrical power obtained in the experiment was 55.6 µW with a single transducer using a tip mass of 16 g. The proposed harvester demonstrated potential for applications in micro-generation of energy with limited infrastructure modification and high endurance under traffic loading over time. Its generation capacity is around 50 mWh a month with 16 piezoelectric cantilevers installed (for a commercial traffic volume of 1500 vehicles a day), enough to power a 200 m flashing LED raised marker strip to guide drivers for lane alignment during night shifts. Full article
(This article belongs to the Special Issue Advanced Renewable Energy Generation Systems and Energy Harvesting Technologies)
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