MODELLING OF ONE WAY GEARS WAVE ENERGY CONVERTER FOR IRREGULAR OCEAN WAVES TO GENERATE ELECTRICITY

2016 ◽  
Vol 78 (5-7) ◽  
Author(s):  
Masjono Masjono ◽  
Salama Manjang ◽  
Dadang A. Suriamiharja ◽  
M. Arsyad Thaha
Keyword(s):  
Output Power ◽  
Analytical Model ◽  
Wave Energy ◽  
Ocean Waves ◽  
Wave Energy Converter ◽  
Gravity Force ◽  
Energy Converter ◽  
Wave Condition ◽  
Proposed Model ◽  
Project Model

The prediction of converted energy by one way gears wave energy converter may be influenced by non-linearity properties of the ocean waves. To date there has not been an adequate analytical model to predict the power production of one way gear wave energy converter under irregular wave condition. In this work, analytical model is developed to describe the interaction of one way gear wave energy converter that utilized gravity force of the gravityweight (M) with irregular ocean waves using JONSWAP (Joint North Sea Wave Project) model. This interaction model has been simulated numerically by means of computer software. The simulation result showed that wave height is strongly determining the converted output power. The outcome of harnessing the gravity force instead of buoyant force of this proposed model that commonly used by the previous wave energy converter demonstrate significant potential output power. The proposed model can be used to design feasible and efficient wave energy converter.

scholarly journals Deep Learning for Wave Energy Converter Modeling Using Long Short Term Memory

2021 ◽  
Author(s):  
Seyed Milad Mousavi ◽  
Majid Ghasemi ◽  
Mahsa Dehghan Manshadi ◽  
Amir Mosavi
Keyword(s):  
Wind Speed ◽  
Output Power ◽  
Wave Energy ◽  
Short Term Memory ◽  
Ocean Waves ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

Accurate forecasts of ocean waves energy can not only reduce costs for investment but it is also essential for management and operation of electrical power. This paper presents an innovative approach based on the Long Short Term Memory (LSTM) to predict the power generation of an economical wave energy converter named “Searaser”. The data for analyzing is provided by collecting the experimental data from another study and the exerted data from numerical simulation of searaser. The simulation is done with Flow-3D software which has high capability in analyzing the fluid solid interactions. The lack of relation between wind speed and output power in previous studies needs to be investigated in this field. Therefore, in this study the wind speed and output power are related with a LSTM method. Moreover, it can be inferred that the LSTM Network is able to predict power in terms of height more accurately and faster than the numerical solution in a field of predicting. The network output figures show a great agreement and the root mean square is 0.49 in the mean value related to the accuracy of LSTM method. Furthermore, the mathematical relation between the generated power and wave height was introduced by curve fitting of the power function to the result of LSTM method.

Design and Analysis of a Two-Body Wave Energy Converter With Mechanical Motion Rectifier

2016 ◽  
Author(s):  
Xiaofan Li ◽  
Changwei Liang ◽  
Lei Zuo
Keyword(s):  
Output Power ◽  
Relative Motion ◽  
Wave Energy ◽  
Average Output Power ◽  
Body Wave ◽  
Wave Energy Converter ◽  
Mechanical Motion ◽  
Energy Converter ◽  
Average Output ◽  
Wave Condition

The design and dynamic analysis of a two-body wave energy converter with 50W average output power is presented in this paper. The wave energy is extracted through the relative motion between a floating buoy and a submerged body, both oscillating in the heave direction. A ball screw system is used to convert the linear relative motion into bidirectional rotation of the screw. Moreover, a mechanical motion rectifier (MMR) is used in the power take-off (PTO) design and convert the bidirectional rotation into unidirectional rotation of generator by using two one-way bearings in the gear system. The dynamic equation of this two-body wave energy converter is established by considering the engagement and disengagement of the one-way bearings in the PTO system. The simulation results in the regular and irregular waves are presented and the average output power of the proposed wave energy converter under different wave condition are estimated.

scholarly journals Providing a Prediction Model to the Output Power of a Wave Energy Converter by Artificial Neural Network

2021 ◽  
Author(s):  
Seyed Milad Mousavi ◽  
Majid Ghasemi ◽  
Mahsa Dehghan Manshadi ◽  
Amir Mosavi
Keyword(s):  
Wind Speed ◽  
Output Power ◽  
Wave Energy ◽  
Short Term Memory ◽  
Electrical Power ◽  
Ocean Waves ◽  
Mean Value ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Wind Speeds

The technologies pertaining to ocean waves has been continuously improving since its creation and the major focus is to come up with accurate predication of power generation from the oceans waves. The precise forecast can not only reduce costs for investment but also it is essential for management and operation of electrical power. The purpose of the current paper is to numerically investigate a new economical wave energy converter named “Searaser”. The simulation is done with Flow-3D software which has high capability in analyzing the fluid solid interactions. by collecting the experimental data of another study and the exerted data which is from numerical simulation, the wind speed and output power are related with a long short term memory (LSTM). By doing comparative analysis between these data, it can be concluded that the artificial intelligence method is so accurate and fast. The network output figures show a good agreement and the root mean square is 0.49 in mean value which was related to the accuracy of LSTM method. One of the novelties of this study is to provide a scatter plot that generates power in terms of wind speed. Due to the accumulation of data, the power can be predicted for other wind speeds by using the intermediate values. Furthermore, the mathematical relation between the generated power and wave height was introduced by curve fitting the power function to the result of LSTM method.

scholarly journals Deep Learning for Wave Energy Converter Modeling Using Long Short-Term Memory

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 871
Author(s):  
Seyed Milad Mousavi ◽  
Majid Ghasemi ◽  
Mahsa Dehghan Manshadi ◽  
Amir Mosavi
Keyword(s):  
Wind Speed ◽  
Output Power ◽  
Wave Energy ◽  
Short Term Memory ◽  
Ocean Waves ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

Accurate forecasts of ocean waves energy can not only reduce costs for investment, but it is also essential for the management and operation of electrical power. This paper presents an innovative approach based on long short-term memory (LSTM) to predict the power generation of an economical wave energy converter named “Searaser”. The data for analysis is provided by collecting the experimental data from another study and the exerted data from a numerical simulation of Searaser. The simulation is performed with Flow-3D software, which has high capability in analyzing fluid–solid interactions. The lack of relation between wind speed and output power in previous studies needs to be investigated in this field. Therefore, in this study, wind speed and output power are related with an LSTM method. Moreover, it can be inferred that the LSTM network is able to predict power in terms of height more accurately and faster than the numerical solution in a field of predicting. The network output figures show a great agreement, and the root mean square is 0.49 in the mean value related to the accuracy of the LSTM method. Furthermore, the mathematical relation between the generated power and wave height was introduced by curve fitting of the power function to the result of the LSTM method.

Novel hydraulic mechanism-based output power regulation for the wave energy converter

2021 ◽  
Vol 110 ◽  
pp. 102587
Author(s):  
Dazhou Geng ◽  
Yang Zheng ◽  
Qijuan Chen ◽  
Xuhui Yue ◽  
Donglin Yan
Keyword(s):  
Output Power ◽  
Wave Energy ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Power Regulation ◽  
Hydraulic Mechanism

Modeling and Experiment of a Novel Micro Wave Energy Converter

2017 ◽  
Vol 863 ◽  
pp. 175-182
Author(s):  
Yi Ming Zhu ◽  
Zi Rong Luo ◽  
Zhong Yue Lu ◽  
Jian Zhong Shang
Keyword(s):  
Output Power ◽  
Wave Energy ◽  
Mechanical Energy ◽  
Vertical Motion ◽  
Electrical Energy ◽  
Wave Energy Converter ◽  
Design Parameters ◽  
Energy Converter ◽  
Drive Power ◽  
Continuous Rotation

This paper proposed a novel micro wave energy converter which can convert irregular wave energy into rotating mechanical energy, then into electrical energy. The device consists of an energy absorption part and an energy conversion part. In details, the blades are installed on the absorber circumferentially and averagely, which are capable of converting the vertical motion of the surface body to continuous rotation of the absorber and leading to a great increase in efficiency. A physical prototype was built to test the performance of the novel generator and optimize the design parameters. In the experiment part, a linear motion electric cylinder was used as the drive power to provide the heaving motion for the device. And the experiment platform was built for modeling a marine environment. Also, a data acquisition program was edited in Labview. Thus, the experiment analyzed the influence of amplitude, frequency, blade angle and resistance value to the output power, and then obtained the optimum parameters combination which can maximize the value of the output power. The result will provide reference for the device’s further application.

A multi-point-absorber wave-energy converter for the stabilization of output power

2018 ◽  
Vol 161 ◽  
pp. 337-349 ◽  
Author(s):  
Hoang-Thinh Do ◽  
Tri-Dung Dang ◽  
Kyoung Kwan Ahn
Keyword(s):  
Output Power ◽  
Wave Energy ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Point Absorber

scholarly journals Kinerja Model Fisik Konverter Energi Ombak Rangkaian Gear Searah pada Periode Ombak yang Bervariasi

2016 ◽  
Vol 22 (2) ◽  
pp. 71 ◽  
Author(s):  
Masjono Muchtar ◽  
Salama Manjang ◽  
Dadang A Suriamiharja ◽  
M Arsyad Thaha
Keyword(s):  
Physical Model ◽  
Wave Energy ◽  
Ocean Waves ◽  
Wave Energy Converter ◽  
Wave Period ◽  
Physical Model Test ◽  
Energy Converter ◽  
Wave Flume ◽  
Period Variations ◽  
Hydraulics Laboratory

To date there were few research on the effect of non-linearity properties of the ocean waves on the performance of wave energy converter (WEC), which uses a series of unidirectional gear. One such parameter is the variation of wave period. The influence of wave period variations on the performance of physical model of the wave energy converters have been investigated at the Hydraulics Laboratory, Department of Civil Engineering, Hasanuddin University Indonesia. This WEC physical model was fabricated and assembled at Politeknik ATI Makassar Indonesia. The investigation steps consists of physical model development, physical model investigation at wave flume prior to the wave period  variation, measuring input output parameters of the physical model under test and empirical model formulation based on observed data analysis. Physical model test carried out on the wave flume at the Hydraulics Laboratory of the Department of Civil Hasanuddin University, at a water depth of 25 cm, wave height between 5-9 cm and wave period between 1.2 - 2.2 seconds. Investigation result based on flywheel radial speed (RPM) and torque (Nm) indicated that calculated harvested power was inversely proportional with the wave period. The longer the period of the waves, the energy produced is getting smaller. The derived empirical formula was y = -85.598x + 208.53 and R² = 0.8881. Y is energy produced (Watt) and X is the wave period (Second). Formulations generated from this study could be used as a reference for future research in dealing with wave period variations on a design one way gear wave energy converter as a source of renewable energy.

scholarly journals Using Flexible Blades to Improve the Performance of Novel Small-Scale Counter-Rotating Self-Adaptable Wave Energy Converter for Unmanned Marine Equipment

2019 ◽  
Vol 7 (7) ◽  
pp. 223 ◽  
Author(s):  
Sun ◽  
Shang ◽  
Luo ◽  
Lu ◽  
Wu ◽  
...  
Keyword(s):  
Output Power ◽  
Wave Energy ◽  
Power Supply ◽  
Simulation Analysis ◽  
Average Power ◽  
Wave Energy Converter ◽  
Small Scale ◽  
Energy Converter ◽  
Experimental Conditions ◽  
Blade Thickness

Unmanned marine equipment has been increasingly developed for open seas. The lack of efficient and reliable power supply is currently one of the bottlenecks restricting the practical application of these devices. In order to provide a viable power supply method for unmanned marine equipment, such as sonic buoys and sea robots, we originally propose a novel small-scale flexible blade wave energy converter (WEC) based on self-adaptable counter-rotating operation mechanism. The flexible blade WEC is designed on the basis of the rigid blade WEC with the caging device. This paper identifies the key factors affecting WEC performance through theoretical analysis. According to the numerical simulation analysis, the output mechanical power of the double-layer absorber is 12.8 W, and the hydraulic efficiency is 36.3%. The results of the verification experiment show that the peak power of WEC is 5.8 W and the average power is 3.2 W. The WEC with 65Mn flexible blade under most experimental conditions has the best performance when the blade thickness is 0.10 mm. The study shows that the new generation WEC can effectively overcome the excessive fluctuation of the output power of the previous generation WEC. The output power curve of the novel WEC is relatively smooth, which is conducive to its smooth operation and subsequent utilization and storage of electrical energy.

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