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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".

Deadline for manuscript submissions: closed (25 February 2022) | Viewed by 4967

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Dr. Joon Sung Park

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Guest Editor

Intelligent Mechatronics Research Center, Korea Electronics Technology Institute, Bucheon 14502, Korea
Interests: Wave energy converter; Ocean energy; pulse width modulation converter; inverter system; modeling and simulation;

Special Issue Information

Dear Colleagues,

Among various energy types, wave energy is a kind of renewable energy with enormous potential. The technologies associated with wave energy extraction are highly important for achieving the expected targets in environmental protection and energy efficiency. However, it is still difficult for wave energy to be considered a definite alternative due to its high cost and low efficiency. This Special Issue welcomes all fields related to the stable and efficient extraction of wave energy, including modeling, simulation, power conversion, mechanical devices, etc.

Design approaches for wave energy converters;
Topologies and control algorithms for high efficiency;
Numerical and physical modeling for wave energy converters;
Physical modeling of marine energy converters;
Simulation for wave energy conversion.

Dr. Joon Sung Park
Guest Editor

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Keywords

Wave energy converter
Wave energy harvesting
Power take-off
Energy transmission
Power converters
Power system for wave energy
Power generation
Energy storage system
Topology and control algorithm
Modeling and simulation
System integration

Published Papers (3 papers)

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Research

25 pages, 1870 KiB

Open AccessArticle

Sectoral Analysis of the Fundamental Criteria for the Evaluation of the Viability of Wave Energy Generation Facilities in Ports—Application of the Delphi Methodology

by Raúl Cascajo, Rafael Molina and Luís Pérez-Rojas

Energies 2022, 15(7), 2667; https://0-doi-org.brum.beds.ac.uk/10.3390/en15072667 - 05 Apr 2022

Viewed by 1517

Abstract

Nearly 40% of the world’s population lives within 100 kilometres of the coast with the risk that this implies in terms of exposure to the effects of climate change. Ocean energy, according to the IPCC (Intergovernmental Panel on Climate Change) in 2019, has been identified as one of the measures for mitigating these effects. In addition, ocean energy can play an essential role in achieving some of the SDGs (Sustainable Development Goals) set at the Paris Climate Summit in 2015, namely SDG 7 (clean and affordable energy) and SDG 13 (climate action) and could have a substantial impact on others such as SDG 1 (poverty eradication), SDG 2 (end hunger), SDG 5 (gender equality), SDG 6 (universal energy access), SDG 8 (promote sustainable economic growth), SDG 9 (build resilient infrastructure), SDG 14 (sustainable conservation of oceans and seas) and SDG 17 (promote sustainable development cooperation). There are several projects under development around the world aimed at extracting energy from waves. However, to date, no technology has been found that, in general terms, is superior to others. There are several conditioning factors that prevent this type of energy from reaching the level of maturity of other marine renewable energies. These are mainly economic, technological, environmental, and regulatory, to mention the most important. This article aims to analyse the approaches that other researchers have adopted to evaluate wave energy projects and, through a prospective method of expert consultation such as the Delphi methodology, will present the most generally accepted criteria for successful wave energy projects. Subsequently, the validity of these results will be analysed for the case of the use of the energy produced for self-consumption in ports. Full article

(This article belongs to the Special Issue Technologies for Wave Energy Extraction)

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12 pages, 26363 KiB

Open AccessArticle

The Shape Optimization and Experimental Research of Heave Plate Applied to the New Wave Energy Converter

by Zhongliang Meng, Yun Chen and Shizhen Li

Energies 2022, 15(4), 1313; https://0-doi-org.brum.beds.ac.uk/10.3390/en15041313 - 11 Feb 2022

Viewed by 1227

Abstract

The development and utilization of wave energy is inseparable from the wave energy converter, and its stability is an important condition for operation. Heave is the biggest factor affecting the stable power generation of wave energy converters. The key method to solve this problem is to install a suitable heave plate. Therefore, the design of the heave plate is particularly important. Based on a new type of horizontal rotor wave energy converter, this paper proposes three different shapes of heave plate design schemes and completes the calculation and modeling of the engineering prototype. First, the three types of heave plate devices were numerically simulated using hydrodynamic calculation software to compare their stable performances and verify the feasibility of the scheme. Subsequently, an experimental model was made according to the parameters of the engineering prototype, and a tank experiment was carried out under the same working conditions to further study the influence of the heave plate installation distance on the stability of the wave energy generator. The results showed that when the distance was between 10 mm and 20 mm, the average amplitude change was large, and when the distance was between 20 mm and 30 mm, the average amplitude change was small. Therefore, the installation distance should be between 20 mm and 30 mm. In the case of the same heave plate area and installation distance, the average amplitude of the chamfered heave plate device was smaller than the other two types, indicating that its stability was better. The optimization of the shape and installation distance of the heave plate proposed in this study has obvious effects on improving the stability of the device and provides a reference for the design of the wave energy converter device. Full article

(This article belongs to the Special Issue Technologies for Wave Energy Extraction)

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22 pages, 9341 KiB

Open AccessArticle

Deep Learning Prediction for Rotational Speed of Turbine in Oscillating Water Column-Type Wave Energy Converter

by Chan Roh and Kyong-Hwan Kim

Energies 2022, 15(2), 572; https://0-doi-org.brum.beds.ac.uk/10.3390/en15020572 - 13 Jan 2022

Cited by 9 | Viewed by 1527

Abstract

This study uses deep learning algorithms to predict the rotational speed of the turbine generator in an oscillating water column-type wave energy converter (OWC-WEC). The effective control and operation of OWC-WECs remain a challenge due to the variation in the input wave energy and the significantly high peak-to-average power ratio. Therefore, the rated power control of OWC-WECs is essential for increasing the operating time and power output. The existing rated power control method is based on the instantaneous rotational speed of the turbine generator. However, due to physical limitations, such as the valve operating time, a more refined rated power control method is required. Therefore, we propose a method that applies a deep learning algorithm. Our method predicts the instantaneous rotational speed of the turbine generator and the rated power control is performed based on the prediction. This enables precise control through the operation of the high-speed safety valve before the energy input exceeds the rated value. The prediction performances for various algorithms, such as a multi-layer perceptron (MLP), recurrent neural network (RNN), long short-term memory (LSTM), and convolutional neural network (CNN), are compared. In addition, the prediction performance of each algorithm as a function of the input datasets is investigated using various error evaluation methods. For the training datasets, the operation data from an OWC-WEC west of Jeju in South Korea is used. The analysis demonstrates that LSTM exhibits the most accurate prediction of the instantaneous rotational speed of a turbine generator and CNN has visible advantages when the data correlation is low. Full article

(This article belongs to the Special Issue Technologies for Wave Energy Extraction)

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