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Clean Technol.
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Recent Advances in Wind Energy
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Recent Advances in Wind Energy

A special issue of Clean Technologies (ISSN 2571-8797).

Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 11406

Special Issue Editor

Dr. Davide Astolfi

E-Mail Website
Guest Editor
Department of Engineering, University of Perugia, 06125 Perugia, Italy
Interests: wind turbines; condition monitoring; fault diagnosis; non-stationary machinery; control and monitoring; vibrations; applied statistics; numerical modelling; mechanical systems dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wind turbines are one of the most efficient technologies for producing clean energy and their role in worldwide electricity usage is destined to further grow. At the end of 2018, the installed wind power was around 600 GW, with a yearly increase in the order of 10%.

The development of wind turbine technology requires advanced scientific techniques in the fields of aerodynamics, modeling and simulation, applied statistics, control and monitoring, material science, and applied mechanics.

On these grounds, this Special Issue is collecting contributions about the most recent advances in wind energy science.

The list of possible topics is wide. Some examples include, but are not limited to, developments in the following:

  • Wind turbine technology (aerodynamic and-or control system);
  • Wind turbines control and monitoring (performance evaluation and-or condition monitoring) through data analysis and measurement techniques;
  • Wind farm management and control;
  • Grid integration of wind energy;
  • Offshore wind energy and wind turbine wakes;
  • Onshore wind energy and wind farms in complex terrain;
  • modeling and simulation techniques;
  • Turbulence;
  • Aeroelasticity and loads;
  • Structures and materials;
  • Micro horizontal or vertical axis wind turbines.

Dr. Davide Astolfi
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. Clean Technologies is an international peer-reviewed open access quarterly 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 1600 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 energy
  • wind turbines
  • wind farms
  • modeling and simulation
  • aerodynamics
  • control and monitoring
  • condition monitoring
  • structures and materials

Published Papers (3 papers)

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Research

22 pages, 2005 KiB  
Article
Forecast Optimization of Wind Speed in the North Coast of the Yucatan Peninsula, Using the Single and Double Exponential Method
by Christy Pérez-Albornoz, Ángel Hernández-Gómez, Victor Ramirez and Damien Guilbert
Clean Technol. 2023, 5(2), 744-765; https://doi.org/10.3390/cleantechnol5020037 - 02 Jun 2023
Viewed by 1205
Abstract
Installation of new wind farms in areas such as the north coast of the Yucatan peninsula is of vital importance to face the local energy demand. For the proper functioning of these facilities it is important to perform wind data analysis, the data [...] Read more.
Installation of new wind farms in areas such as the north coast of the Yucatan peninsula is of vital importance to face the local energy demand. For the proper functioning of these facilities it is important to perform wind data analysis, the data having been collected by anemometers, and to consider the particular characteristics of the studied area. However, despite the great development of anemometers, forecasting methods are necessary for the optimal harvesting of wind energy. For this reason, this study focuses on developing an enhanced wind forecasting method that can be applied to wind data from the north coast of the Yucatan peninsula (in general, any type of data). Thus, strategies can be established to generate a greater amount of energy from the wind farms, which supports the local economy of this area. Four variants have been developed based on the traditional double and single exponential methods. Furthermore, these methods were compared to the experimental data to obtain the optimal forecasting method for the Yucatan area. The forecasting method with the highest performance has obtained an average relative error of 7.9510% and an average mean error of 0.3860 m/s. Full article
(This article belongs to the Special Issue Recent Advances in Wind Energy)
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21 pages, 4607 KiB  
Article
Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait
by Ali M. H. A. Khajah and Simon P. Philbin
Clean Technol. 2022, 4(1), 14-34; https://doi.org/10.3390/cleantechnol4010002 - 10 Jan 2022
Cited by 7 | Viewed by 4495
Abstract
There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on a techno-economic analysis of the feasibility of implementing wind [...] Read more.
There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on a techno-economic analysis of the feasibility of implementing wind power generation in Kuwait for 105 MW of electricity generation based on 50 wind turbines, which is a major requirement for clean energy. The study focused on three main areas of analysis and numerical modelling using the RETScreen software tool. The first area involved evaluating the performance and efficacy of generating wind power by collecting, analysing, and modelling data on observed wind levels, wind turbine operation, and wind power generation. The second area comprised an environmental impact report to assess the environmental benefits of implementing wind power. The third area involved economic analysis of installing wind power in Kuwait. The analysis was undertaken to determine the energy recovery time for wind energy and determine the mitigation of global warming and pollution levels, the decrease of toxic emissions, and any cost savings from implementing clean energy systems in Kuwait. Additionally, sensitivity analysis was undertaken to determine the impact of certain variables in the modelling process. The results were used to estimate that the energy price would be $0.053 per kWh for a power generation capacity of 105 MWh based on an initial cost of US $168 million and O&M of $5 million for 214,000 MWh of electricity exported to the grid. Moreover, the wind turbine farm will potentially avoid the emission of approximately 1.8 million t of carbon dioxide per year, thereby saving about $9 million over 20 years spent through installing carbon capture systems for conventional power plants. The wind farm is estimated to have a payback time of 9.1 years. Full article
(This article belongs to the Special Issue Recent Advances in Wind Energy)
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16 pages, 4538 KiB  
Article
Reducing the Structural Mass of Large Direct Drive Wind Turbine Generators through Triply Periodic Minimal Surfaces Enabled by Hybrid Additive Manufacturing
by Austin C. Hayes and Gregory L. Whiting
Clean Technol. 2021, 3(1), 227-242; https://doi.org/10.3390/cleantechnol3010013 - 01 Mar 2021
Cited by 6 | Viewed by 4300
Abstract
As the power output of direct drive generators increases, they become prohibitively large with much of this material structural support. In this work, implicit modeling was coupled to finite element analysis through a genetic algorithm variant to automate lattice optimization for the rotor [...] Read more.
As the power output of direct drive generators increases, they become prohibitively large with much of this material structural support. In this work, implicit modeling was coupled to finite element analysis through a genetic algorithm variant to automate lattice optimization for the rotor of a 5 MW permanent magnet direct drive generator for mass reduction. Three triply periodic minimal surfaces (TPMS) were chosen: Diamond, Schwartz Primitive, and Gyroid. Parameter and functionally graded lattice optimization were employed to reduce mass within deflection criteria. Inactive mass for the 5 MW Diamond, Schwartz Primitive, and Gyroid optimized designs was 10,043, 10,858, and 10,990 kg, respectively. The Schwartz Primitive rotor resulted in a 34% reduction in inactive mass compared to a 5 MW baseline design. Radial and axial deflections were below the critical limit of 0.65 and 32.17 mm, respectively. The lowest torsional deflection was seen in the Schwartz Primitive TPMS lattice at 3.89 mm. Based on these designs, hybrid additive manufacturing with investment casting was used to validate manufacturability in metal. A fused deposition modeling (FDM) TPMS topology was printed for validation of the FEA results. Comparison between digital image correlation of the FDM printed design and FEA design resulted in a 6.7% deformation difference for equivalent loading conditions. Full article
(This article belongs to the Special Issue Recent Advances in Wind Energy)
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