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Advances in Offshore Wind Energy Development

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".

Deadline for manuscript submissions: closed (28 April 2024) | Viewed by 5561

Special Issue Editors

Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Interests: hydrate dissociation and CO2 utilization and storage; geomechanics related to hydraulic fracturing; offshore geotechnical engineering
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Guest Editor
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China
Interests: crustal stress field; rock mechanics; earthquakes and geodynamics

Special Issue Information

Dear Colleagues,

With more and more onshore fuel-based energy being extracted and the demand for clean energy increasing rapidly worldwide, offshore wind energy has attracted a great deal of interest from the research community and industry partners during the past several decades due to the high quality of offshore wind resources, reduced environmental impact, and more space in which to construct. The total worldwide offshore wind power installed capacity reached 35.3 GW in 2021. According to statistics in 2020, the United Kingdom (29%), China (28%) and Germany (22%) account for more than 75% of the global installed capacity.

The development of offshore wind energy faces two important issues. First, although the cost of offshore wind energy has decreased substantially, reaching  USD 78/MWh in 2019, it is still higher than that of onshore wind power. In addition to the high construction cost, the cost of wind turbine foundations occupies a large portion of the total cost. Second, the pile–soil–structure interaction is complex under wind, wave and current loadings. Especially in extreme situations such as typhoon, tsunami, and earthquake, the exploration of offshore wind energy is more likely to cause accidents such as overturning and breaking. Therefore, the mechanical behavior of the system needs to be studied to improve the overall system performance. Offshore wind engineering is a complex system, involving multiple loadings (e.g., wind, wave and current), multiple stages (e.g., wind farm design, foundation installation, operation, maintenance), and multiple physics (e.g., aero, hydro, mechanical, vibration). In addition, floating foundations face more serious stability problems with flexible mooring chains. Furthermore, some coastlines are susceptible to submarine geological hazards (earthquakes, submarine landslides) and related secondary hazards (e.g., tsunamis). It is necessary to assess the risks to the foundations of offshore wind turbines posed by coastal geohazards.

This Special Issue will collect high-quality original research articles and review papers reflecting the advances in the research on offshore wind energy. Manuscripts could be based on analytical, numerical studies as well as laboratory experiments and field technologies. Case studies from practice are also welcome.

Potential topics include but are not limited to the following:

  • Potential evaluation of offshore wind energy;
  • Aerodynamics of wind;
  • Hydrodynamics of wave and flow;
  • Structure dynamics, such as vibration, erosion and fatigue;
  • Geotechnical problems such as large deformation, failure and scour;
  • Foundation design for offshore wind turbines;
  • Foundation–soil–structure under wind, wave and current loadings;
  • Coastal geohazards threatening foundation stability, such as earthquake, tsunamis, and submarine slope failure;
  • Installation methods, monitoring techniques and maintenance system in the full life cycle of wind farm.

Dr. Bisheng Wu
Dr. Rui Wang
Dr. Chongyuan Zhang
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.

Keywords

  • offshore wind energy
  • wind energy evaluation
  • foundation–soil interaction
  • wind farms

Published Papers (3 papers)

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Research

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16 pages, 6656 KiB  
Article
Study on the near Wake Aerodynamic Characteristics of Floating Offshore Wind Turbine under Combined Surge and Pitch Motion
by Shudong Leng, Yefeng Cai, Haisheng Zhao, Xin Li and Jiafei Zhao
Energies 2024, 17(3), 744; https://doi.org/10.3390/en17030744 - 05 Feb 2024
Viewed by 664
Abstract
Floating offshore wind turbines (FOWTs) may experience six degree of freedom (DoF) movements under the influence of environmental conditions. Different combinations of platform movements with the same amplitude and frequency may have distinct influences on the aerodynamic characteristics of the wind turbine. In [...] Read more.
Floating offshore wind turbines (FOWTs) may experience six degree of freedom (DoF) movements under the influence of environmental conditions. Different combinations of platform movements with the same amplitude and frequency may have distinct influences on the aerodynamic characteristics of the wind turbine. In this study, a detailed, full-scale CFD model of NREL 5 MW wind turbine is developed to investigate the specific aerodynamic and near wake characteristics under the influence of surge, pitch, and coupled surge–pitch platform motion based on the OpenFOAM tool box. It is clearly noted that different platform movements led to varying relative velocities of the blade, which affected the aerodynamic performance of wind turbines such as thrust, torque, and angle of attack (AOA). On the other hand, when the wind turbine was subjected to combined surge–pitch motion with the same phase, the wake velocity field fluctuated greatly, and the velocity at the center of the wake even exceeded the free flow velocity. Moreover, the platform movement affected the gap between the shed vortices. When the wind turbine moved forward, the gap between the vortices increased, while when the wind turbine moved backward, the gap between the vortices decreased or even converged, resulting in vortex–vortex interaction. Full article
(This article belongs to the Special Issue Advances in Offshore Wind Energy Development)
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17 pages, 2494 KiB  
Article
Modeling and Investigation of the Effect of a Wind Turbine on the Atmospheric Boundary Layer
by Vladislav N. Kovalnogov, Ruslan V. Fedorov, Andrei V. Chukalin, Ekaterina V. Tsvetova and Mariya I. Kornilova
Energies 2022, 15(21), 8196; https://doi.org/10.3390/en15218196 - 03 Nov 2022
Cited by 2 | Viewed by 1639
Abstract
Wind power engineering is one of the environmentally safe areas of energy and certainly makes a significant contribution to the fight against CO2 emissions. The study of the air masses movement in the zone of wind turbines and their influence on the [...] Read more.
Wind power engineering is one of the environmentally safe areas of energy and certainly makes a significant contribution to the fight against CO2 emissions. The study of the air masses movement in the zone of wind turbines and their influence on the boundary layer of the atmosphere is a fundamental basis for the efficient use of wind energy. The paper considers the theory of the movement of air masses in the rotation zone of a wind turbine, and presents an analytical review of applied methods for modeling the atmospheric boundary layer and its interaction with a wind turbine. The results of modeling the boundary layer in the wind turbine zone using the STAR CCM+ software product are presented. The wind speed and intensity of turbulence in the near and far wake of the wind turbine at nominal load parameters are investigated. There is a significant decrease in the average wind speed in the near wake of the wind generator by 3 m/s and an increase in turbulent intensity by 18.3%. When considering the long-distance track behind the wind turbine, there is a decrease in the average speed by 0.6 m/s, while the percentage taken from the average value of the turbulent intensity is 7.2% higher than in the section in front of the wind generator. The influence of a wind turbine on the change in the temperature stratification of the boundary layer is considered. The experiments revealed a temperature change (up to 0.5 K), which is insignificant, but at night the stratification reaches large values due to an increase in the temperature difference in the surface boundary layer. In the long term, the research will contribute to the sustainable and efficient development of regional wind energy. Full article
(This article belongs to the Special Issue Advances in Offshore Wind Energy Development)
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Review

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32 pages, 3491 KiB  
Review
Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review
by Amira Elkodama, Amr Ismaiel, A. Abdellatif, S. Shaaban, Shigeo Yoshida and Mostafa A. Rushdi
Energies 2023, 16(17), 6394; https://doi.org/10.3390/en16176394 - 04 Sep 2023
Cited by 4 | Viewed by 2560
Abstract
In recent years, the increasing environmental problems, especially the issue of global warming, have motivated demand for a cleaner, more sustainable, and economically viable energy source. In this context, wind energy plays a significant role due to the small negative impact it has [...] Read more.
In recent years, the increasing environmental problems, especially the issue of global warming, have motivated demand for a cleaner, more sustainable, and economically viable energy source. In this context, wind energy plays a significant role due to the small negative impact it has on the environment, which makes it among the most widespread potential sustainable renewable fuel nowadays. However, wind turbine control systems are important factors in determining the efficiency and cost-effectiveness of a wind turbine (WT) system for wind applications. As wind turbines become more flexible and larger, it is difficult to develop a control algorithm that guarantees both efficiency and reliability as these are conflicting objectives. This paper reviews various control strategies for the three main control systems of WT, which are pitch, torque, and yaw control, in different operational regions considering multi-objective control techniques. The different control algorithms are generally categorized as classical, modern (soft computing) and artificial intelligence (AI) for each WT control system. Modern and soft computing techniques have been showing remarkable improvement in system performance with minimal cost and faster response. For pitch and yaw systems, soft computing control algorithms like fuzzy logic control (FLC), sliding mode control (SMC), and maximum power point tracking (MPPT) showed superior performance and enhanced the WT power performance by up to 5% for small-scale WTs and up to 2% for multi-megawatt WTs. For torque control systems, direct torque control (DTC) and MPPT AI-based techniques were suitable for reducing generator torque fluctuations and estimating the torque coefficient for different wind speed regions. Classical control techniques such as PI/PID resulted in poor dynamic response for large-scale WTs. However, to improve classical control techniques, AI algorithms could be used to tune the controller’s parameters to enhance its response, as a WT is a highly non-linear system. A graphical abstract is presented at the end of the paper showing the pros/cons of each control system category regarding each WT control system. Full article
(This article belongs to the Special Issue Advances in Offshore Wind Energy Development)
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