Ocean renewable energy and its prospect for developing economies

Kabir, Mahfuz; Chowdhury, Shahariar; Sultana, Nigar; Jamal, Mohammad Shah; Techato, Kuaanan

doi:10.1016/b978-0-323-88668-0.00007-3

Cited by 3 publications

(2 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At this time, an energy conversion period takes place, and the generator is prepared for the next cycle. Figure 4 shows one of the gages and its valve [42]. The most important part of the energy conversion in the wave generator is the generator, which converts the floating mechanical energy into electrical energy.…”

Section: Different Components Of the Wave Convertermentioning

confidence: 99%

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

Rituraj¹

2022

Preprint

View full text Add to dashboard Cite

This study proposes a data-driven methodology for modeling power and hydrogen generation of a sustainable energy converter. The wave and hydrogen production at different wave heights and wind speeds are predicted. Furthermore, this research emphasizes and encourages the possibility of extracting hydrogen from ocean waves. By using the extracted data from FLOW-3D software simulation and the experimental data from the special test in the ocean, the comparison analysis of two data-driven learning methods is conducted. The results show that the amount of hydrogen production is propor-tional to the amount of generated electrical power. The reliability of the proposed renewable energy converter is further discussed as a sustainable smart grid application.

show abstract

Section: Different Components Of the Wave Convertermentioning

confidence: 99%

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

Rituraj¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…So that Indonesia has a very large need for ocean current power generation technology to be utilized immediately due to a government policy committed to achieving the NZE which must be implemented in Indonesia. However, Ocean Renewable Energy (ORE) is a relatively new and underutilized source of renewable energy that has a lot of potential to reduce carbon emissions from burning fossil fuels and help with global climate change [2], Even the Center for Data and Information Technology for Energy and Mineral Resources (CDI-ESDM) states that until 2022 there will be no electricity generation from currents or ocean waves in Indonesia [3],…”

Section: Introductionmentioning

confidence: 99%

System Performance Characteristics of Darrieus Turbine with Tilted Blades in Current and Wave Conditions

Suyanto,

Fitri,

Erwandi

et al. 2023

Kapal

View full text Add to dashboard Cite

Indonesia has abundant sources of renewable energy from ocean currents and waves, or a mixture of currents and waves at certain times to be used as an energy source for power plants. So at the Indonesian Hydrodynamics Laboratory, a study has been carried out to determine the performance of the Darrieus-type vertical axis turbine model to utilize the energy of ocean currents and waves. But the Darrieus Turbine with the turbine blades positioned perpendicular to the turbine axis cannot rotate if there is only wave force. Then several turbine models were made with the placement of the blades in an inclined position, to produce optimal rotor rotation in current conditions or a mixture of currents and waves. This paper describes the testing of 3 turbine models by varying the angle of inclination of the turbine blades (45°, 60°, and 75°), but still having the same turbine rotor area and giving different input currents and wave periods to produce the best efficiency and rotation in absorb current energy or a mixture of current and wave energy. The test results show that the 3 models of slanted blade turbines can absorb both wave and current energy, but turbines with 75° blade inclination produce the best performance compared to the others when exposed to currents and waves

show abstract

Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study

et al. 2023

View full text Add to dashboard Cite

This study proposes a data-driven methodology for modeling power and hydrogen generation of a sustainable energy converter. The wave and hydrogen production at different wave heights and wind speeds are predicted. Furthermore, this research emphasizes and encourages the possibility of extracting hydrogen from ocean waves. By using the extracted data from the FLOW-3D software simulation and the experimental data from the special test in the ocean, the comparison analysis of two data-driven learning methods is conducted. The results show that the amount of hydrogen production is proportional to the amount of generated electrical power. The reliability of the proposed renewable energy converter is further discussed as a sustainable smart grid application.

show abstract

Ocean renewable energy and its prospect for developing economies

Cited by 3 publications

References 62 publications

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

https://www.academia.edu/93557562/Predicting_Power_and_Hydrogen_Generation_of_a_Renewable_Energy_Converter_Utilizing_Data_Driven_methods_A_Sustainable_Smart_Grid_Case_Study

System Performance Characteristics of Darrieus Turbine with Tilted Blades in Current and Wave Conditions

Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study

Contact Info

Product

Resources

About