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Oceans
Special Issues
Offshore Renewable Energy and Related Environmental Science
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Offshore Renewable Energy and Related Environmental Science

A special issue of Oceans (ISSN 2673-1924).

Deadline for manuscript submissions: 1 September 2026 | Viewed by 1534

Special Issue Editors

Prof. Dr. Yordan Garbatov

E-Mail Website1 Website2
Guest Editor
Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal
Interests: ship and offshore structures; lifecycle assessment; reliability and risk; renewable energy; energy efficiency; environmental, societal, and economic impact
Special Issues, Collections and Topics in MDPI journals
Dr. Emre Uzunoglu

E-Mail Website
Guest Editor
KONGSTEIN, Hamburg, Germany
Interests: renewable energy; offshore structures; wind energy
Dr. Elif Oguz
*
Website
Guest Editor
Civil Engineering Department, Middle East Technical University, Ankara, Turkey
Interests: floating wind turbines; offshore wind energy; offshore marine renewables
* We dedicate the memory of the editor, Dr. Elif Oguz, who passed away during this special issue period.

Special Issue Information

Dear Colleagues,

This Special Issue will focus on offshore renewable energy, including wind, wave, tidal, and thermal technologies, along with their benefits in reducing carbon emissions and promoting economic growth. It will also cover environmental concerns such as noise pollution, habitat destruction, and effects on marine life. Additionally, it will include multidisciplinary assessments of interactions between species, ecosystems, and infrastructure, emphasizing environmental science in understanding these impacts. Research contributions that examine changes in marine ecosystems, develop mitigation methods, and explore ways to balance energy goals with the protection of nature will be especially welcomed.

Prof. Dr. Yordan Garbatov
Dr. Emre Uzunoglu
Dr. Elif Oguz
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 250 words) can be sent to the Editorial Office for assessment.

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. Oceans 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 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

  • offshore renewable energy
  • offshore structures
  • environmental concerns
  • effects on marine life
  • changes in marine ecosystems

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

31 pages, 7153 KB  
Article
Balancing Accuracy and Efficiency in the Temporal Resampling of Met-Ocean Data
by Sara Ramos-Marin and C. Guedes Soares
Oceans 2026, 7(2), 35; https://doi.org/10.3390/oceans7020035 - 16 Apr 2026
Viewed by 332
Abstract
Harmonising heterogeneous met-ocean time series to a common temporal resolution is a prerequisite for integrated marine renewable energy assessments. Such datasets often differ in their sampling frequency, statistical distribution, and non-stationarity, complicating joint analysis. This study presents a practical multi-criteria framework for selecting [...] Read more.
Harmonising heterogeneous met-ocean time series to a common temporal resolution is a prerequisite for integrated marine renewable energy assessments. Such datasets often differ in their sampling frequency, statistical distribution, and non-stationarity, complicating joint analysis. This study presents a practical multi-criteria framework for selecting temporal interpolation strategies for met-ocean datasets, explicitly balancing prediction accuracy and computational efficiency. Six environmental variables relevant to offshore renewable energy—wind speed, significant wave height, energy period, peak period, global horizontal irradiance, and upper-ocean thermal gradients—are analysed using ten-year reanalysis datasets for the Madeira Archipelago. Six commonly used deterministic time-domain interpolation methods are evaluated within a unified validation framework combining training–test splits, k-fold cross-validation, and Monte Carlo resampling. Their performances are quantified using the relative root mean square error and computational time, integrated through a composite performance score. The results show that makima interpolation provides the most consistent compromise between accuracy and efficiency for most variables in dense, regularly sampled met-ocean datasets, while spline-based approaches perform better for highly skewed solar irradiance. Preprocessing steps, such as detrending and distribution normalisation, yield only marginal improvements for dense, regularly sampled datasets, and method rankings remain stable under moderate changes in accuracy–speed weightings. Rather than proposing a universal interpolator, this work delivers a reproducible decision-support workflow for temporal resampling of multi-variable met-ocean datasets, supporting early-stage marine renewable energy assessments. Full article
(This article belongs to the Special Issue Offshore Renewable Energy and Related Environmental Science)
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23 pages, 4171 KB  
Article
Research on Wake Characteristics of Dynamic Yawing Offshore Wind Turbine by Proper Orthogonal Decomposition
by Oussama Sabbar, Bowen Zhang, Jie Ge and Longyan Wang
Oceans 2026, 7(2), 25; https://doi.org/10.3390/oceans7020025 - 9 Mar 2026
Viewed by 611
Abstract
The wake that forms behind a yawing wind turbine is a complex flow region that can affect the performance of downstream turbines in offshore wind farms. It contains various flow features, including velocity deficit, shear layers, and vortex structures, which evolve in both [...] Read more.
The wake that forms behind a yawing wind turbine is a complex flow region that can affect the performance of downstream turbines in offshore wind farms. It contains various flow features, including velocity deficit, shear layers, and vortex structures, which evolve in both time and space. Understanding this behavior is important for the design and operation of large-scale offshore wind farms. In this work, large-eddy simulations combined with proper orthogonal decomposition are used to study the wake development behind the National Renewable Energy Laboratory five-megawatt offshore wind turbine under both aligned and yawed inflow conditions. The results indicate that yawing the rotor leads to a lateral shift in the wake and increased asymmetry, with a stronger shear layer forming on one side. This asymmetry promotes enhanced mixing between the wake and the surrounding flow, contributing to a faster downstream recovery of the velocity field. The proper orthogonal decomposition analysis shows that the most energetic modes are associated with large-scale wake deflection and meandering, while higher-order modes correspond to smaller and less stable flow structures within the shear layer. The temporal evolution of these modes illustrates how the wake responds to the yaw maneuver and gradually reaches a new quasi-steady state. Overall, the study provides insight into the influence of yaw on wind turbine wake dynamics and demonstrates the applicability of combining large-eddy simulation with proper orthogonal decomposition for wake analysis in offshore wind farm studies. Full article
(This article belongs to the Special Issue Offshore Renewable Energy and Related Environmental Science)
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