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Cutting-Edge Technologies in Offshore Wind Energy
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Cutting-Edge Technologies in Offshore Wind Energy

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Marine Energy".

Deadline for manuscript submissions: 10 November 2025 | Viewed by 583

Special Issue Editor

Prof. Dr. Dongran Song

E-Mail Website
Guest Editor
School of Automation, Central South University, Changsha 410083, China
Interests: renewable energy power-generation technologies; microgrid system modeling, optimization and control; economic analysis and optimization of energy/electrical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Offshore wind energy is a rapidly evolving field, driven by advancements in technology and the need for sustainable energy solutions. This Special Issue focuses on the latest innovations that enhance efficiency, scalability, and environmental sustainability in offshore wind projects. Key areas include floating wind turbines, smart grid integration, aerodynamic optimizations, and deep-water infrastructure, which collectively aim to harness stronger winds, reduce costs, and minimize ecological impacts.

Prof. Dr. Dongran Song
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. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly 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

  • floating wind turbines
  • smart grid integration
  • aerodynamic optimizations
  • deep-water infrastructure

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Published Papers (1 paper)

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Research

23 pages, 5661 KB  
Article
Data-Driven Load Suppression and Platform Motion Optimization for Semi-Submersible Wind Turbines
by Liqing Liao, Qian Huang, Li Wang, Jian Yang, Dongran Song, Sifan Chen and Lingxiang Huang
J. Mar. Sci. Eng. 2025, 13(10), 1839; https://doi.org/10.3390/jmse13101839 - 23 Sep 2025
Viewed by 415
Abstract
To address the issues of large fatigue loads on key components and poor platform motion stability under the coupling effect of wind, waves, and internal excitations in semi-submersible wind turbines, this paper proposes a data-driven load suppression and platform motion optimization method. First, [...] Read more.
To address the issues of large fatigue loads on key components and poor platform motion stability under the coupling effect of wind, waves, and internal excitations in semi-submersible wind turbines, this paper proposes a data-driven load suppression and platform motion optimization method. First, the NREL 5 MW OC4 semi-submersible wind turbine is used as the research object. Wind-wave environment and aeroelastic simulation models are constructed based on TurbSim and OpenFAST. The rainflow counting method and Palmgren–Miner rule are applied to calculate the damage equivalent load (DEL) of key components, and the platform’s maximum horizontal displacement (Smax) is defined to represent the motion range. Secondly, a systematic analysis is conducted to examine the effects of servo control variables such as generator speed, yaw angle, and active power on the DELs of the blade root, tower base, drivetrain, mooring cables, and platform Smax. It is found that the generator speed and the yaw angle have significant impacts, with the DELs of the blade root and drivetrain showing a strong positive correlation with Smax. On this basis, a fatigue load model based on random forests is established. A multi-objective optimization framework is built using the NSGA-II algorithm, with the objectives of minimizing the total DEL of key components and Smax, thereby optimizing the servo control parameters. Case studies based on actual marine environmental data from the East China Sea show that, compared to the baseline configuration (a typical unoptimized control strategy), the optimization results lead to a maximum reduction of 14.1% in the total DEL of key components and a maximum reduction of 16.95% in Smax. The study verifies the effectiveness of data-driven modeling and multi-objective optimization for coordinated control, providing technical support for improving the structural safety and operational stability of semi-submersible wind turbines. Full article
(This article belongs to the Special Issue Cutting-Edge Technologies in Offshore Wind Energy)
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