scholarly journals ESTIMATION OF ELECTRICITY GENERATED FROM TIDAL ENERGY IN BEDONO VILLAGE OF DEMAK REGENCY

2020 ◽  
Vol 4 (9) ◽  
pp. 13-17
Author(s):  
Agus Margiantono ◽  
Titik Nurhayati ◽  
Wahib Hasbullah
Keyword(s):  
Electric Power ◽  
Current Velocity ◽  
Tidal Current ◽  
Tidal Energy ◽  
Tidal Currents ◽  
Active Power ◽  
Tidal Current Velocity ◽  
The Village

In some places in the village of Bedono Demak Regency there is a location with high tidal current velocity, the coordinates of the Location is 6 ° 55'29.0 "S 110 ° 29'11.4" E. In this study estimated the amount of electric power that can be generated from tidal currents in the village Bedono. Estimates are made by modeling the location and the Darrieus turbine using the CFD (Computating Fluid Dinamyc) Software. From the research that has been done to get the results of electric power that can be produced in the village Bedono highest at 14-16 times 3469.413W and lowest 39.002W at 22-24 hours according to the CFD is the highest active power occurred at 14-16 at 3197.064W and the lowest 35.941W at 22-24 hours.

scholarly journals Comparative Investigations of Tidal Current Velocity Prediction Considering Effect of Multi-Layer Current Velocity

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6417
Author(s):  
Bo Feng ◽  
Peng Qian ◽  
Yulin Si ◽  
Xiaodong Liu ◽  
Haixiao Yang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Current Velocity ◽  
Tidal Current ◽  
Learning Algorithms ◽  
Critical Role ◽  
Tidal Energy ◽  
Machine Learning Algorithms ◽  
Tidal Current Velocity ◽  
Velocity Prediction ◽  
Prediction Approach

Accurate tidal current prediction plays a critical role with increasing utilization of tidal energy. The classical prediction approach of the tidal current velocity adopts the harmonic analysis (HA) method. The performance of the HA approach is not ideal to predict the high frequency components of tidal currents due to the lack of capability processing the non-astronomic factor. Recently, machine learning algorithms have been applied to process the non-astronomic factor in the prediction of tidal current. In this paper, a tidal current velocity prediction considering the effect of the multi-layer current velocity method is proposed. The proposed method adopts three machine learning algorithms to establish the prediction models for comparative investigations, namely long-short term memory (LSTM), back-propagation (BP) neural network, and the Elman regression network. In the case study, the tidal current data collected from the real ocean environment were used to validate the proposed method. The results show that the proposed method combined with the LSTM algorithm had higher accuracy than both the commercial tidal prediction tool (UTide) and the other two algorithms. This paper presents a novel tidal current velocity prediction considering the effect of the multi-layer current velocity method, which improves the accuracy of the power flow prediction and contributes to the research in the field of tidal current velocity prediction and the capture of tidal energy.

scholarly journals On Tidal Current Velocity Vector Time Series Prediction: A Comparative Study for a French High Tidal Energy Potential Site

2019 ◽  
Vol 7 (2) ◽  
pp. 46 ◽  
Author(s):  
Tony El Tawil ◽  
Nicolas Guillou ◽  
Jean-Frédéric Charpentier ◽  
Mohamed Benbouzid
Keyword(s):  
Time Series ◽  
Numerical Model ◽  
Linear Approximation ◽  
Current Velocity ◽  
Tidal Current ◽  
Tidal Energy ◽  
Energy System ◽  
Energy Potential ◽  
Tidal Current Velocity ◽  
Tidal Stream

Estimating the energy potential of tidal stream site is a key feature for tidal energy system deployment. This paper aims to compare two methods of prediction of tidal current velocities. The first one is based on the use of a fully three-dimensional (3D) numerical approach. However, while being accurate, the numerical model is highly time-consuming. The second method is based on a linear approximation of the tidal current, which only requires preliminary knowledge of local current velocities time series during two typical tidal cycles. This second method allows a very quick evaluation of the tidal stream resource during a long time period. The proposed comparison is done in three different locations of a high potential tidal energy site in west of France. It is carried out in terms of current velocity and energy harnessing for several turbines technology options (with and without yaw). The achieved results show that the linear approximation gives satisfactory evaluation of the tidal stream potential and can be a very interesting tool for preliminary site evaluation and first technology options selection. However, the fully 3D numerical model can obviously be very useful in more advanced steps of a project.

scholarly journals A comparative study for tidal current velocity prediction using simplified and fast algorithms

2020 ◽  
Vol 104 ◽  
pp. 102346 ◽  
Author(s):  
J. Tondut ◽  
T. El Tawil ◽  
J. Thiébot ◽  
N. Guillou ◽  
M. Benaouicha
Keyword(s):  
Comparative Study ◽  
Current Velocity ◽  
Tidal Current ◽  
Fast Algorithms ◽  
Tidal Current Velocity ◽  
Velocity Prediction

A Towing Test of a Floating Type VAMT With Cycloidal Pitch-Controlled Blades

2018 ◽  
Author(s):  
Tomoki Ikoma ◽  
Hiroaki Eto ◽  
Koichi Masuda ◽  
Atsuhiro Oguchi
Keyword(s):  
Control System ◽  
Current Velocity ◽  
Tidal Current ◽  
Vertical Axis ◽  
Floating Structure ◽  
Current Generation ◽  
Variable Pitch ◽  
Pitch Control ◽  
Tidal Current Velocity ◽  
Vertical Axis Turbine

Sea areas around the Japanese Islands which is feasible for tidal current generation are not a lot because sea sites where tidal current velocity is above 2.0 m/s are a few. We can find such sea sites at a west side of the Kyushu Island especially. However, we would earn electrical energy to be generated if it is able to generate electricity long time using around 1.0 m/s in current velocity. A vertical axis turbine should be better than horizontal axis types because VATs can take relatively higher torque. It is very useful that we can set and control a marine turbine to be higher performance in various current velocity. The present study introduce variable pitch-control system to a vertical axis turbine for tidal current generation. The pitch-control system adapts a cycloidal mechanism so that to vary pitch angle of turbine blades is conducted mechanically. The study developed a vertical axis marine turbine with cycloidal pitch-controlled three blades which was based on previous studies and experimental data. The diameter of the turbine is 1.0 m, length of a blade is 1.3 m. The turbine was set on a floating structure in order to carry out towing tests at a sea. We obtained several kinds of data from the towing tests, which were turbine torque, the number of rotation of the turbine, output power from an electrical generator and acceleration of the floating structure. As a result, the turbine made 50 W power from the generator. Although the PTO was not so large, the pitch-control was effective very much. Some issues were found at the same time. We need to consider and develop more useful gears, assemble methods to be feasible of variable pitch system.

scholarly journals On the approximation of spatial structures of global tidal magnetic field models

2018 ◽  
Vol 36 (5) ◽  
pp. 1393-1402 ◽  
Author(s):  
Roger Telschow ◽  
Christian Gerhards ◽  
Martin Rother
Keyword(s):  
Magnetic Field ◽  
Current Velocity ◽  
Tidal Current ◽  
Spatial Structures ◽  
Spatial Constraint ◽  
Magnetic Signal ◽  
Conductivity Model ◽  
Tidal Current Velocity ◽  
Temporal Periodicity

Abstract. The extraction of the magnetic signal induced by the oceanic M2 tide is typically based solely on the temporal periodicity of the signal. Here, we propose a system of tailored trial functions that additionally takes the spatial constraint into account that the sources of the signal are localized within the oceans. This construction requires knowledge of the underlying conductivity model but not of the inducing tidal current velocity. Approximations of existing tidal magnetic field models with these trial functions and comparisons with approximations based on other localized and nonlocalized trial functions are illustrated.

scholarly journals On the Approximation of Spatial Structures of Global Tidal Magnetic Field Models

2018 ◽  
Author(s):  
Roger Telschow ◽  
Christian Gerhards ◽  
Martin Rother
Keyword(s):  
Magnetic Field ◽  
Current Velocity ◽  
Tidal Current ◽  
Spatial Structures ◽  
Spatial Constraint ◽  
Magnetic Signal ◽  
Conductivity Model ◽  
Tidal Current Velocity ◽  
Temporal Periodicity

Abstract. The extraction of the magnetic signal induced by the oceanic M2 tide is typically based solely on the temporal periodicity of the signal. Here, we propose a system of tailored trial functions that additionally takes the spatial constraint into account that the sources of the signal are localized within the oceans. This construction requires knowledge of the underlying conductivity model but not of the inducing tidal current velocity. Approximations of existing tidal magnetic field models with these trial functions and comparisons with approximations based on other localized and non-localized trial functions are illustrated.

scholarly journals Evaluation of turbulence-related high-frequency tidal current velocity fluctuation

2019 ◽  
Vol 139 ◽  
pp. 313-325 ◽  
Author(s):  
Patxi Garcia Novo ◽  
Yusaku Kyozuka ◽  
Maria Jose Ginzo Villamayor
Keyword(s):  
Current Velocity ◽  
High Frequency ◽  
Velocity Fluctuation ◽  
Tidal Current ◽  
Tidal Current Velocity
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