Comprehensive Comparison of the Most Effective Wind Turbines

Solomin, Evgeny; Lingjie, X.; Jia, Huaisen; Danping, D.

doi:10.1007/978-3-030-39225-3_64

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Indeed, aerodynamic load on the horizontal axis wind turbine (HAWT) blade is different in the top and bottom positions because the wind speed along the length of the blades is significantly different. The blade operates in different torques and transfers the pulsing vibrations to the hub, which may cause damage and other failures [15]. In addition, it can be assumed an irreversible physical degradation of wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Vertical Wind Speed Profiles Based on Ward’s Agglomerative Clustering Algorithm

C. Bueso,

Molina-Garcia,

P. Ramallo-Gonzalez

et al. 2023

Journal of Modern Power Systems and Clean Energy

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Wind turbine blades have been constantly increasing since wind energy becomes a popular renewable energy source to generate electricity. Therefore, the wind sector requires a more efficient and representative characterization of vertical wind speed profiles to assess the potential for a wind power plant site. This paper proposes an alternative characterization of vertical wind speed profiles based on Ward' s agglomerative clustering algorithm, including both wind speed module and direction data. This approach gives a more accurate incoming wind speed variation around the rotor swept area, and subsequently, provides a more realistic and complete wind speed vector characterization for vertical profiles. Real wind database collected for 2018 in the Forschungsplattformen in Nordund Ostsee (FINO) research platform is used to assess the methodology. A preliminary pre-processing stage is proposed to select the appropriated number of heights and remove missing or incomplete data. Finally, two locations and four heights are selected, and 561588 wind data are characterized. Results and discussion are also included in this paper. The methodology can be applied to other wind database and locations to characterize vertical wind speed profiles and identify the most likely wind data vector patterns.

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Section: Introductionmentioning

confidence: 99%

Characterization of Vertical Wind Speed Profiles Based on Ward’s Agglomerative Clustering Algorithm

C. Bueso,

Molina-Garcia,

P. Ramallo-Gonzalez

et al. 2023

Journal of Modern Power Systems and Clean Energy

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Advancements in Vertical Axis Wind Turbine Technologies: A Comprehensive Review

Seifi Davari,

Seify Davari,

Botez

et al. 2024

Arab J Sci Eng

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Addressing VAWT Aerodynamic Challenges as the Key to Unlocking Their Potential in the Wind Energy Sector

Abdolahifar,

Zanj

2024

Energies

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While the wind turbine industry has been primarily dominated by horizontal-axis wind turbines, the forefront of knowledge of these turbines has revealed significant challenges in various aspects, including manufacturing, structural design, cost, and maintenance. On the other hand, the advantages associated with Darrieus vertical-axis wind turbines (VAWTs) demonstrate significant potential that can address the existing challenges of the wind turbine industry. Current work aims to investigate the practicality of this potential for the wind energy sector. To this end, the benefits of employing Darrieus turbines for domestic and industrial applications, isolated operation, and on/offshore windfarm applications have been explored. It is apparent that Darrieus VAWTs are better suited to a wide range of environments, whether they are deployed in isolation or integrated systems, and whether they are utilized on a small or large scale. Darrieus VAWTs are adaptable to urban unsteady variable wind, are less expensive on large scales, provide higher power density at the windfarm level, and provide stability for offshore platforms. Nevertheless, challenges remain in fully harnessing VAWT potential rooted in their complex aerodynamics. This serves as a primary challenge for VAWTs to address the challenges of the wind turbine industry in line with the 2050 roadmap.

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Comprehensive Comparison of the Most Effective Wind Turbines

Cited by 3 publications

References 21 publications

Characterization of Vertical Wind Speed Profiles Based on Ward’s Agglomerative Clustering Algorithm

Characterization of Vertical Wind Speed Profiles Based on Ward’s Agglomerative Clustering Algorithm

Advancements in Vertical Axis Wind Turbine Technologies: A Comprehensive Review

Addressing VAWT Aerodynamic Challenges as the Key to Unlocking Their Potential in the Wind Energy Sector

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