Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
2.7
Journals
JMSE
Special Issues
Study on the Performance of Wave Energy Converters
share announcement

Study on the Performance of Wave Energy Converters

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

Deadline for manuscript submissions: closed (10 June 2024) | Viewed by 3992

Special Issue Editors

Prof. Dr. Elizaldo Domingues Dos Santos

E-Mail Website
Guest Editor
Escola de Engenharia, Universidade Federal do Rio Grande—FURG, Rio Grande 96203-900, Brazil
Interests: fluid mechanics; heat transfer; renewable energy; constructal design
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Liércio André Isoldi

E-Mail Website
Guest Editor
Escola de Engenharia, Universidade Federal do Rio Grande—FURG, Rio Grande 96203-900, Brazil
Interests: computational fluid dynamics; computational solid mechanics; renewable energy; constructal design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Ocean wave energy converters (WECs) have emerged as a promising technology for harnessing renewable energy from the vast resources of the ocean. As the world seeks to transition toward clean and sustainable energy sources, understanding the performance of WECs becomes crucial for optimizing their efficiency and reliability. This Special Issue aims to explore various aspects related to the performance of ocean wave energy converters. We invite researchers and experts from academia and industry to contribute their original research articles, reviews and case studies on this topic.

The topics of interest include, but are not limited to:

  • Design and optimization of WECs: novel design concepts, modeling techniques and optimization strategies for improving the performance of WECs;
  • Performance evaluation and monitoring: experimental and numerical methods for assessing the performance of WECs, including power generation, energy conversion efficiency and reliability;
  • Wave resource assessment: studies focusing on characterizing and predicting the wave resource at different coastal regions and its impact on the performance of WECs;
  • Control and operation strategies: advanced control algorithms and operational strategies for enhancing the performance and survivability of WECs under varying wave conditions;
  • Environmental impact assessment: investigations on the potential environmental impacts of WECs, including their effects on marine ecosystems and mitigation measures.

Dr. Elizaldo Domingues Dos Santos
Dr. Liércio André Isoldi
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.

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

  • ocean wave energy converters
  • WEC
  • performance evaluation
  • ocean wave energy
  • wave resource assessment
  • marine renewable energy

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

34 pages, 7195 KiB  
Article
Geometric Evaluation of the Hydro-Pneumatic Chamber of an Oscillating Water Column Wave Energy Converter Employing an Axisymmetric Computational Model Submitted to a Realistic Sea State Data
by Édis Antunes Pinto Júnior, Sersana Sabedra de Oliveira, Phelype Haron Oleinik, Bianca Neves Machado, Luiz Alberto Oliveira Rocha, Mateus das Neves Gomes, Elizaldo Domingues dos Santos, José Manuel Paixão Conde and Liércio André Isoldi
J. Mar. Sci. Eng. 2024, 12(9), 1620; https://doi.org/10.3390/jmse12091620 - 11 Sep 2024
Viewed by 172
Abstract
In this research, considering the air methodology, an axisymmetric model was developed, validated, and calibrated for the numerical simulation of an Oscillating Water Column (OWC) converter subjected to a realistic sea state, representative of the Cassino beach, in the south of Brazil. To [...] Read more.
In this research, considering the air methodology, an axisymmetric model was developed, validated, and calibrated for the numerical simulation of an Oscillating Water Column (OWC) converter subjected to a realistic sea state, representative of the Cassino beach, in the south of Brazil. To do so, the Finite Volume Method (FVM) was used, through the Fluent software (Version 18.1), for the airflow inside the hydro-pneumatic chamber and turbine duct of the OWC. Furthermore, the influence of geometric parameters on the available power of the OWC converter was evaluated through Constructal Design combined with Exhaustive Search. For this, a search space with 100 geometric configurations for the hydro-pneumatic chamber was defined by means of the variation in two degrees of freedom: the ratio between the height and diameter of the hydro-pneumatic chamber (H1/L1) and the ratio between the height and diameter of the smallest base of the connection, whose surface of revolution has a trapezoidal shape, between the hydro-pneumatic chamber and the turbine duct (H2/L2). The ratio between the height and diameter of the turbine duct (H3/L3) was kept constant. The results indicated that the highest available power of the converter was achieved by the lowest values of H1/L1 and highest values of H2/L2, with the optimal case being obtained by H1/L1 = 0.1 and H2/L2 = 0.81, achieving a power 839 times greater than the worst case. The values found are impractical in real devices, making it necessary to limit the power of the converters to 500 kW to make this assessment closer to reality; thus, the highest power obtained was 15.5 times greater than that found in the worst case, these values being consistent with other studies developed. As a theoretical recommendation for practical purposes, one can infer that the ratio H1/L1 has a greater influence over the OWC’s available power than the ratio H2/L2. Full article
(This article belongs to the Special Issue Study on the Performance of Wave Energy Converters)
►▼ Show Figures

Figure 1

16 pages, 6131 KiB  
Article
Experimental Study on the Spring-like Effect on the Hydrodynamic Performance of an Oscillating Water Column Wave Energy Converter
by Ning Yuan, Chuanli Xu and Zhen Liu
J. Mar. Sci. Eng. 2024, 12(8), 1327; https://doi.org/10.3390/jmse12081327 - 6 Aug 2024
Viewed by 449
Abstract
The oscillating water column (OWC) wave energy converter has demonstrated significant potential for converting ocean wave energy. The spring-like effect of air compressibility can significantly affect the hydrodynamic behavior of the device, but it has rarely been investigated through experimental studies. In this [...] Read more.
The oscillating water column (OWC) wave energy converter has demonstrated significant potential for converting ocean wave energy. The spring-like effect of air compressibility can significantly affect the hydrodynamic behavior of the device, but it has rarely been investigated through experimental studies. In this study, an experimental test on a model-scaled OWC device was carried out in a wave flume using a series of regular and irregular waves. The spring-like effect was taken into account by the combination of the air chamber with an additional air reservoir of appropriate volume, where the total volume was scaled according to the square of the Froude scale. The hydrodynamic performance was compared with the results obtained without considering the spring-like effect. A phase difference between the air pressure and airflow rate was observed when employing the additional air reservoir. The amplitudes of free surface elevation and airflow rate increased, while the air pressure was reduced when the spring-like effect was considered. The results demonstrate that failure to consider the spring-like effect can lead to overestimation of the hydrodynamic efficiencies, and the errors were mainly affected by the incident wave frequency. Full article
(This article belongs to the Special Issue Study on the Performance of Wave Energy Converters)
►▼ Show Figures

Figure 1

16 pages, 3536 KiB  
Article
The Wave Amplification Mechanism of Resonant Caisson
by Jiawei Hao, Dietao Ding, Jiawen Li and Ji Huang
J. Mar. Sci. Eng. 2024, 12(7), 1038; https://doi.org/10.3390/jmse12071038 - 21 Jun 2024
Viewed by 475
Abstract
Previous studies have introduced a resonant caisson designed to enhance wave energy extraction in regions with low wave energy density; however, its operational mechanism remains poorly understood. This paper seeks to elucidate the operational mechanism of the resonant caisson by leveraging Star-CCM+ for [...] Read more.
Previous studies have introduced a resonant caisson designed to enhance wave energy extraction in regions with low wave energy density; however, its operational mechanism remains poorly understood. This paper seeks to elucidate the operational mechanism of the resonant caisson by leveraging Star-CCM+ for Computational Fluid Dynamics (CFD) simulations, focusing on the influence of guides and their dimensions on the water levels, flow velocities, and vortex dynamics. The findings demonstrate the remarkable wave-amplification capabilities of the resonant caisson, with the maximum amplification factor reaching 2.31 at the calculated frequency in the absence of guides. Incorporating guides and expanding their radii substantially elevate the flow rates, accelerate the water currents, and alter the vortex patterns, thereby further enhancing the amplification factor. This study will provide a reference for optimizing the design of resonant caissons and wave energy converters based on resonant caissons, thus promoting the effective use of wave energy resources. Full article
(This article belongs to the Special Issue Study on the Performance of Wave Energy Converters)
►▼ Show Figures

Figure 1

21 pages, 5753 KiB  
Article
Enhancing Wave Energy Conversion Efficiency through Supervised Regression Machine Learning Models
by Sunny Kumar Poguluri and Yoon Hyeok Bae
J. Mar. Sci. Eng. 2024, 12(1), 153; https://doi.org/10.3390/jmse12010153 - 12 Jan 2024
Cited by 3 | Viewed by 1099
Abstract
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not undergone exhaustive scrutiny, and there are no potential or concurrent models [...] Read more.
The incorporation of machine learning (ML) has yielded substantial benefits in detecting nonlinear patterns across a wide range of applications, including offshore engineering. Existing ML works, specifically supervised regression models, have not undergone exhaustive scrutiny, and there are no potential or concurrent models for improving the performance of wave energy converter (WEC) devices. This study employs supervised regression ML models, including multi-layer perceptron, support vector regression, and XGBoost, to optimize the geometric aspects of an asymmetric WEC inspired by Salter’s duck, based on key parameters. These important parameters, the ballast weight and its position, vary along a guided line within the available geometric resilience of the asymmetric WEC. Each supervised regression ML model was fine-tuned through hyperparameter optimization using Grid cross-validation. When evaluating the performance of each ML model, it became evident that the tuned hyperparameters of XGBoost led to predictions that strongly aligned with the actual values compared to other models. Furthermore, the study extended to assess the performance of the optimized WEC at the designated deployment test site location. Full article
(This article belongs to the Special Issue Study on the Performance of Wave Energy Converters)
►▼ Show Figures

Figure 1

27 pages, 15963 KiB  
Article
Numerical and Experimental Investigation of the Dynamics of a U-Shaped Sloshing Tank to Increase the Performance of Wave Energy Converters
by Marco Fontana, Giuseppe Giorgi, Massimiliano Accardi, Ermanno Giorcelli, Stefano Brizzolara and Sergej Antonello Sirigu
J. Mar. Sci. Eng. 2023, 11(12), 2339; https://doi.org/10.3390/jmse11122339 - 11 Dec 2023
Cited by 1 | Viewed by 979
Abstract
In this investigation, a comprehensive study was conducted on a U-shaped sloshing tank, based on reversing the classical treatment of such devices as motion stabilizers and using them instead to improve the performance of wave energy converters. The modeling encompasses a comparative analysis [...] Read more.
In this investigation, a comprehensive study was conducted on a U-shaped sloshing tank, based on reversing the classical treatment of such devices as motion stabilizers and using them instead to improve the performance of wave energy converters. The modeling encompasses a comparative analysis between a linear model and Computational Fluid Dynamics (CFD) simulations. The validation of the CFD methodology was rigorously executed via a series of experimental tests, subsequently enhancing the linear model. The refined linear model demonstrates a notable alignment with rigorously verified results, thus establishing itself as a reliable tool for advanced research, indicating promise for various applications. Furthermore, this novelty is addressed by simulating the integration of a U-tank device with a pitch-based wave energy converter, displaying a broadening of the operational bandwidth and a substantial performance improvement, raising the pitch motion of the floater to about 850% in correspondence with the new secondary peak over extended periods, effectively addressing previously identified limitations. This achievement contributes to the system’s practical relevance in marine energy conversion. Full article
(This article belongs to the Special Issue Study on the Performance of Wave Energy Converters)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop