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Wind Turbine Data, Analysis and Models: Volume II
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Wind Turbine Data, Analysis and Models: Volume II

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 5768

Special Issue Editor

Prof. Dr. Daniel Villanueva Torres

E-Mail Website
Guest Editor
Departamento de Enxeñería Eléctrica, Universidade de Vigo, EEI, Campus de Lagoas-Marcosende, 36310 Vigo, Spain
Interests: electric energy storage; renewable energy; electric energy in buildings; electrical installations; electric vehicle; optimization of electric energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the continuation of the previous one, "Wind Turbine Data, Analysis, and Models", which was closed in July 2020. The main objective of this Special Issue is to give professional scholars and experts the opportunity to share their research related to wind turbines. It provides a means for the presentation and discussion of the latest developments in the research, analysis, and modelling of wind turbines. The following topics are covered by this Special Issue:

  • Wind speed data analysis;
  • Wind speed data filtering;
  • Wind speed models or distributions;
  • Power curve models;
  • Wind power data analysis;
  • Wind power models or distributions;
  • Wind turbine models;
  • Simulation of wind turbines;
  • Influence of the weather in wind turbines;
  • Influence of the obstacles or terrain condition in wind turbines;
  • Wind turbine losses;
  • Ageing of wind turbines.

The papers accepted for publication in the journal must be original and refereed to a high standard. They may include new research findings, new applications of models, the analysis of real data and its interpretation, and so on. All of the manuscripts will be thoroughly refereed through a single-blind peer-review process.

Prof. Dr. Daniel Villanueva Torres
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. Applied Sciences 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 2400 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

  • wind speed
  • wind power
  • power curve
  • wind energy
  • wind turbine

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Published Papers (2 papers)

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Research

20 pages, 3972 KiB  
Article
Simulation of Wind Speeds with Spatio-Temporal Correlation
by Moisés Cordeiro-Costas, Daniel Villanueva, Andrés E. Feijóo-Lorenzo and Javier Martínez-Torres
Appl. Sci. 2021, 11(8), 3355; https://doi.org/10.3390/app11083355 - 8 Apr 2021
Cited by 5 | Viewed by 2079
Abstract
Nowadays, there is a growing trend to incorporate renewables in electrical power systems and, in particular, wind energy, which has become an important primary source in the electricity mix of many countries, where wind farms have been proliferating in recent years. This circumstance [...] Read more.
Nowadays, there is a growing trend to incorporate renewables in electrical power systems and, in particular, wind energy, which has become an important primary source in the electricity mix of many countries, where wind farms have been proliferating in recent years. This circumstance makes it particularly interesting to understand wind behavior because generated power depends on it. In this paper, a method is proposed to synthetically generate sequences of wind speed values satisfying two important constraints. The first consists of fitting the given statistical distributions, as the generally accepted fact is assumed that the measured wind speed in a location follows a certain distribution. The second consists of imposing spatial and temporal correlations among the simulated wind speed sequences. The method was successfully checked under different scenarios, depending on variables, such as the number of locations, the duration of the data collection period or the size of the simulated series, and the results were of high accuracy. Full article
(This article belongs to the Special Issue Wind Turbine Data, Analysis and Models: Volume II)
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21 pages, 7548 KiB  
Article
Pitch Angle Optimization for Small Wind Turbines Based on a Hierarchical Fuzzy-PID Controller and Anticipated Wind Speed Measurement
by Ernesto Chavero-Navarrete, Mario Trejo-Perea, Juan Carlos Jáuregui-Correa, Roberto Valentín Carrillo-Serrano, Guillermo Ronquillo-Lomeli and José Gabriel Ríos-Moreno
Appl. Sci. 2021, 11(4), 1683; https://doi.org/10.3390/app11041683 - 13 Feb 2021
Cited by 9 | Viewed by 2961
Abstract
Wind energy is an alternative to meet the growing energy demand and protect the environment; however, in places with limited wind resources, only the installation of small horizontal-axis wind turbines (SHAWTs) is profitable. At the height of these turbines, the wind is usually [...] Read more.
Wind energy is an alternative to meet the growing energy demand and protect the environment; however, in places with limited wind resources, only the installation of small horizontal-axis wind turbines (SHAWTs) is profitable. At the height of these turbines, the wind is usually unstable with gusts and turbulence due to obstacles in its path such as buildings and trees. The pitch angle must be adaptable to guarantee nominal rotation speed, and it is commonly regulated with a proportional-integral-derivative (PID) feedback controller. This controller works well when the wind is stable, but not with drastic changes in wind speed. To correct this problem, this article introduces a PID controller with automatic adjustment of the gain values using a fuzzy logic controller (FLC). The PID gain adjustment allows an optimal response speed of the system for different wind conditions. The membership functions of the FLC are determined from a methodology that includes: The measurement of the wind speed at a calculated distance, a statistical analysis of the wind variability, and a dynamic analysis of the wind path. In this way, it is possible to anticipate the response of the actuator to the arrival of a gust of wind to the rotor. The algorithm is implemented in 14 kW SHAWTs where the difference in performance with a conventional controller is quantified. Satisfactory results were obtained, the electrical output increased by 7%, and the risk of rotor damage due to vibrations or mechanical fatigue was reduced by 20%. Full article
(This article belongs to the Special Issue Wind Turbine Data, Analysis and Models: Volume II)
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