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Energies
Special Issues
Designing, Monitoring, Diagnosis and Reliability of the Renewable Energy Systems
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Designing, Monitoring, Diagnosis and Reliability of the Renewable Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 11465

Special Issue Editors

Prof. Dr. Silvano Vergura

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy
Interests: photovoltaic systems; renewable energy technologies; smart cities technologies; infrared analysis; cloud-based applications for the energy; diagnostics and prognostics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Giuseppe Marco Tina

E-Mail Website
Guest Editor
Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, st. A.Doria, n. 6, 95125 Catania, Italy
Interests: MATLAB simulation; renewable energy technologies; electrical power engineering; power electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue is focused on the issues related to the designing of Renewable Energy Sources (RES), the monitoring of the performance, the diagnosis of failures, the reliability, and the resilience. The RES have been rapidly growing in the past years in all over the world with beneficial effects on the price reduction. Researchers are making a valuable contribution to the development of increasingly efficient renewable energy sources, by improving the designing of the constituting components and increasing the performance of RES. Diagnostics and prognostics are reducing the time related to a fault (MTTF, MTTR, MDT, etc.) and increasing the availability of the power source at full power. Topics of interest for this issue include, but are not limited to the areas:

  • Photovoltaic systems
  • Concentrating solar systems
  • Concentrating photovoltaics and thermal (CPT) systems
  • Wind systems
  • Tidal systems
  • Storage systems for RES applications
  • Electrical machines for RES
  • Converters for RES
  • Maximum power point tracking techniques
  • Modelling of renewable energy devices and systems
  • Modeling of smart and/or insulated grids with distributed RES

Application of the following techniques and methods within the aims of this special issue:

  • Innovative sensors and data acquisition systems
  • Not-Destructive Techniques (NDT - infrared, luminescence, etc.)
  • Diagnostics and prognostics
  • Statistic methodologies
  • Artificial intelligence techniques and machine learning for diagnostics
  • Forecasting techniques
  • Optimization techniques
  • Decision support and IT solutions for diagnostics
  • IoT

Dr. Silvano Vergura
Prof. Giuseppe Marco TINA
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.

Published Papers (2 papers)

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Research

24 pages, 4590 KiB  
Article
Time-Resolved Temperature Map Prediction of Concentration Photovoltaics Systems by Means of Coupled Ray Tracing Flux Analysis and Thermal Quadrupoles Modelling
by Alejandro Mateos-Canseco, Manuel I. Peña-Cruz, Arturo Díaz-Ponce, Jean-Luc Battaglia, Christophe Pradère and Luis David Patino-Lopez
Energies 2018, 11(8), 2042; https://doi.org/10.3390/en11082042 - 07 Aug 2018
Cited by 2 | Viewed by 3596
Abstract
A transient 3D thermal model based on the thermal quadrupole method, coupled to ray tracing analysis, is presented. This methodology can predict transient temperature maps under any time-fluctuating irradiance flux—either synthetic or experimental—providing a useful tool for the design and parametric optimization of [...] Read more.
A transient 3D thermal model based on the thermal quadrupole method, coupled to ray tracing analysis, is presented. This methodology can predict transient temperature maps under any time-fluctuating irradiance flux—either synthetic or experimental—providing a useful tool for the design and parametric optimization of concentration photovoltaics systems. Analytic simulations of a concentration photovoltaics system thermal response and assessment of in-plane thermal gradients induced by fast tracking point perturbations, like those induced by wind, are provided and discussed for the first time. Computation times for time-resolved temperature maps can be as short as 9 s for a full month of system operation, with stimuli inspired by real data. Such information could pave the way for more accurate studies of cell reliability under any set of worldwide irradiance conditions. Full article
(This article belongs to the Special Issue Designing, Monitoring, Diagnosis and Reliability of the Renewable Energy Systems)
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22 pages, 5119 KiB  
Article
Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches
by Tien-Chin Wang and Su-Yuan Tsai
Energies 2018, 11(8), 1989; https://doi.org/10.3390/en11081989 - 31 Jul 2018
Cited by 41 | Viewed by 7217
Abstract
The period of industrialization and modernization has increased energy demands around the world. As with other countries, the Taiwanese government is trying to increase the proportion of renewable energy, especially solar energy resources. Thus, there are many solar power plants built in Taiwan. [...] Read more.
The period of industrialization and modernization has increased energy demands around the world. As with other countries, the Taiwanese government is trying to increase the proportion of renewable energy, especially solar energy resources. Thus, there are many solar power plants built in Taiwan. One of the most important components of a solar power plant is the solar panel. The solar panel supplier selection process is a complex and multi-faceted decision that can reduce the cost of purchasing equipment and supply this equipment on time. In this research, we propose fuzzy MCDM approach that includes fuzzy analytical hierarchy process model (FAHP) and data envelopment analysis (DEA) for evaluation and selection of solar panel supplier for a photovoltaic system design in Taiwan. The main objective of this work is to design a fuzzy MCDM approach for solar panel supplier selection based on qualitative and quantitative factors. In the first step of this research, FAHP is applied to define the priority of suppliers. The AHP combined with fuzzy logic (FAHP) can be used to rank suppliers; however, the disadvantages of the FAHP model is that input data, expressed in linguistic terms, depends on experience of experts and the number of suppliers is practically limited, because of the number of pairwise comparison matrices. Thus, we applied several DEA models for ranking potential suppliers in the final stages. As the result, decision making unit 1 (DMU 1) is the optimal solar panel supplier for photovoltaic system design in Taiwan. The contribution of this research is a new fuzzy MCDM for supplier selection under fuzzy environment conditions. This paper also lies in the evolution of a new approach that is flexible and practical to the decision maker. It provides a useful guideline for solar panel supplier selection in many countries as well as a guideline for supplier selection in other industries. Full article
(This article belongs to the Special Issue Designing, Monitoring, Diagnosis and Reliability of the Renewable Energy Systems)
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