Special Issue "Advanced Marine Energy Harvesting Technologies"

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 February 2023 | Viewed by 1048

Special Issue Editors

Dr. Hao Wang
E-Mail Website
Guest Editor
Marine Engineering College, Dalian Maritime University, Dalian, China
Interests: triboelectric nanogenerator
Prof. Dr. Minyi Xu
E-Mail Website
Guest Editor
Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered System, Marine Engineering College, Dalian Maritime University, Dalian 116026, China
Interests: self-powered sensor; underwater sensor; energy harvesting technology; triboelectric nanogenerator
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xinxiang Pan
E-Mail Website
Guest Editor
Maritime College, Guangdong Ocean University, Zhanjiang 524088, China
Interests: marine sensing; self-powered sensor; nanogenerator; energy harvesting; renewable energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The harvesting of marine energy (e.g., wind, wave, current and thermal) is a sustainable and convenient way to generate and store power from the oceans. The past several decades have seen rapid progress in marine energy harvesting technologies. These technologies could help to overcome the high entropy of marine energy and greatly promote the efficiencies of energy capture and power take-off. Combined with the advances in power management and energy storage, marine energy could be a promising sector in the grid, and have the potential to represent the power foundation of self-powered marine systems and distributed marine systems. This Special Issue invites original research and review articles on the broad aspects of advanced harvesting technologies for marine energy. Topics of interest include, but are not limited to, the following:

  • Wave energy and energy capture;
  • Offshore wind energy and floating wind turbines;
  • Current and tidal energy;
  • Linear direct generators;
  • Triboelectric nanogenerators;
  • Self-powered systems and distributed systems;
  • Power management and energy storage.

Dr. Hao Wang
Prof. Dr. Minyi Xu
Prof. Dr. Xinxiang Pan
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 2000 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

  • wave energy
  • offshore wind energy
  • current energy
  • energy capture
  • linear direct generators
  • triboelectric nanogenerators
  • floating wind turbines
  • self-powered systems
  • distributed systems
  • power management
  • energy storage

Published Papers (2 papers)

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Research

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Article
Prediction of Wave Energy Flux in the Bohai Sea through Automated Machine Learning
J. Mar. Sci. Eng. 2022, 10(8), 1025; https://doi.org/10.3390/jmse10081025 - 26 Jul 2022
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Abstract
The rational assessment of regional energy distribution provides a scientific basis for the selection and siting of power generation units. This study, which focused on the Bohai Sea, set 31 research coordinate points in the Bohai sea for assessing the potential/trends of wave [...] Read more.
The rational assessment of regional energy distribution provides a scientific basis for the selection and siting of power generation units. This study, which focused on the Bohai Sea, set 31 research coordinate points in the Bohai sea for assessing the potential/trends of wave energy flux (WEF). We applied a point-to-point time series prediction method which modelled the different geographical coordinate points separately. Subsequently, we evaluated the performance of three traditional machine learning methods and three automated machine learning methods. To estimate WEF, the best model was applied to each research coordinate points, respectively. Then, the WEF was calculated and predicted based on the data of MWP, SWH, and water depth. The results indicate that, for all coordinates in the Bohai Sea, the H2O-AutoML algorithm is superior to the other five algorithms. Gradient boosting machine (GBM), extreme gradient boosting (XGBoost), and stacked ensemble models yielded the best performance out of the H2O algorithms. The significant wave height (SWH), the mean wave period (MWP), and the WEF in the Bohai Sea tended to be concentrated in the center of the sea and dispersed in the nearshore areas. In the year 2000, 2010, 2020, and 2030, the maximum annual average WEF at each research coordinate in the Bohai Sea is around 1.5 kW/m, with a higher flux in autumn and winter. In summary, the results provide ocean parameter characterization for the design and deployment of wave energy harvesting devices. Moreover, the automated machine learning introduced herein has potential for use in more applications in ocean engineering. Full article
(This article belongs to the Special Issue Advanced Marine Energy Harvesting Technologies)
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Review

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Review
Advances in Marine Self-Powered Vibration Sensor Based on Triboelectric Nanogenerator
J. Mar. Sci. Eng. 2022, 10(10), 1348; https://doi.org/10.3390/jmse10101348 - 22 Sep 2022
Viewed by 351
Abstract
With the rapid development of advanced electronics/materials and manufacturing, marine vibration sensors have made great progress in the field of ship and ocean engineering, which could cater to the development trend of marine Internet of Things (IoT) and smart shipping. However, the use [...] Read more.
With the rapid development of advanced electronics/materials and manufacturing, marine vibration sensors have made great progress in the field of ship and ocean engineering, which could cater to the development trend of marine Internet of Things (IoT) and smart shipping. However, the use of conventional power supply models requires periodic recharging or replacement of batteries due to limited battery life, which greatly causes too much inconvenience and maintenance consumption, and may also pose a potential risk to the marine environment. By using the coupling effect of contact electrification and electrostatic induction, triboelectric nanogenerators (TENGs) were demonstrated to efficiently convert mechanical vibration movements into electrical signals for sensing the vibration amplitude, direction, frequency, velocity, and acceleration. In this article, according to the two working modes of harmonic vibration and non-harmonic vibration, the latest representative achievements of TENG-based vibration sensors for sensing mechanical vibration signals are comprehensively reviewed. This review not only covers the fundamental working mechanism, rational structural design, and analysis of practical application scenarios, but also investigates the characteristics of harmonic vibration and non-harmonic vibration. Finally, perspectives and challenges regarding TENG-based marine self-powered vibration sensors at present are discussed. Full article
(This article belongs to the Special Issue Advanced Marine Energy Harvesting Technologies)
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