Feature Papers on Marine Energy in 2024

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: closed (30 August 2024) | Viewed by 1366

Special Issue Editors


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Guest Editor
Department of Nuclear Engineering and Fluid Mechanics, Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), C/Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain
Interests: active and passive devices for flow control; computational fluid dynamics; turbulence theory; vortex dynamics and boundary layers; wind turbine rotor aerodynamics/aero-elasticity; active/passive devices for flow control; flow separation study in complex geometries; energy harvesters
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Guest Editor
Department of Energy Engineering, University of the Basque Country, Bilbao, Spain
Interests: thermal engineering; hydrodynamics; numerical modeling; fluid mechanics; numerical simulation; energy; computational fluid dynamics; turbomachinery; fluid structure interaction; industrial engineering
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Special Issue Information

Dear Colleagues,

The main goal of this Special Issue is to highlight the most recent and relevant advances that have been in Marine Energy’s applications. Currently, several interesting Marine Energy-related techniques have been developed in the field of Fluid Mechanics and Energy Systems. There are many applications, such as Offshore Wind Turbines and Control, Photovoltaic Energy Systems, Wave Energy Converters, Oscillating Water Column technology, etc., that, in recent years, have experienced significant improvements. It is commonly accepted that Marine Energy-related renewable technologies will become the dominant sources of renewable energy generation. The reasons for this are based on the fact that waves have a much higher power density than wind or solar; although, this form of energy production has not been fully developed yet.

Dr. Unai Fernández Gámiz
Dr. Jesús María Blanco
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. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • intelligent techniques applied to marine energy
  • oscillating water column
  • offshore wind turbine technology
  • floating platforms and overtopping
  • PIV-particle image velocimetry
  • photovoltaic energy production and control in marine environments
  • hydrogen production and storage
  • energy storage
  • energy harvester design and control
  • artificial neural network for marine energy applications
  • hybrid renewable energy plants
  • battery energy storage systems
  • forecast in renewable energy systems
  • WEC-wave energy converters

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Published Papers (1 paper)

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Research

22 pages, 7849 KiB  
Article
Array Optimization for a Wave Energy Converter with Adaptive Resonance Using Dual Bayesian Optimization
by Aghamarshana Meduri and HeonYong Kang
J. Mar. Sci. Eng. 2024, 12(12), 2143; https://doi.org/10.3390/jmse12122143 - 24 Nov 2024
Cited by 1 | Viewed by 944
Abstract
A novel Dual Bayesian optimization strategy is formed for an array of wave energy converters with adaptive resonance to maximize the annual performance through the energy conversion processes from irregular waves to electricity. A wave energy converter with adaptive resonance changes the natural [...] Read more.
A novel Dual Bayesian optimization strategy is formed for an array of wave energy converters with adaptive resonance to maximize the annual performance through the energy conversion processes from irregular waves to electricity. A wave energy converter with adaptive resonance changes the natural frequency of power take-off dynamics for varying irregular waves, resulting in the maximum annual energy production. The first step of the two-step Dual Bayesian optimization determines the geometric layout of the array, which maximizes the first energy conversion to the total array excitation for irregular waves occurring annually. The second step optimizes the operational parameters of individual wave energy converters in the optimized array to maximize the power generation in varying sea states through simultaneous conversion to mechanical and electrical energy. The coupled hydrodynamics are solved in the frequency domain, and the power performance is evaluated by solving the Cummins’ equation in the time domain extended for multiple floating bodies, each strongly coupled with nonlinear power take-off dynamics. The proposed method is applied to a surface-riding wave energy converter, already optimized for single unit operation at individual sea states. Investigating two array layouts, linear and random, the optimized arrays after Step 1 increase the excitation spectral area by up to 40% relative to the single unit operation, indicating the synergy enhancing the first energy conversion. Subsequently, the dual-optimized linear layout attained a q-factor up to 1.13 in commonly occurring sea states, achieving improved average power generation in 60% of the evaluated sea states. The performance of the random layout exhibited the average power fluctuating along the wave spectra with a peak q-factor of 1.07. The individual adaptive resonance is confirmed in the optimized arrays, such that each surface-riding wave energy converter of both layouts adaptively resonates with the peak of the wave excitation spectra, maximizing the power generation for the different irregular waves. Full article
(This article belongs to the Special Issue Feature Papers on Marine Energy in 2024)
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