Device Selection of the Potential Wave Energy Site in Indonesian Seas

Triasdian, Beyrra; Indartono, Yuli Setyo; Ningsih, Nining Sari; Novitasari, Dwi

doi:10.1088/1755-1315/291/1/012040

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…An application of the analysis of the wave energy resource on the Atlantic coasts and the flow behaviour within the OWC chamber was also found by means of a numerical flow simulation code [7]. Considering the above, a simple mathematical model of a wave was proposed, representing it in the form of a sinusoid, from which we will be told how much energy the converter receives [8], in addition, a dynamic modelling was presented to evaluate the electrical power in the practical use of the wave energy converter [9]; another study evaluated wave energy converters (WEC) selected and determined their ability to realize energy capture at the potential site of the Indonesian seas [10].…”

Section: Discussionmentioning

confidence: 99%

Electrical utilization through Wave Energy

Espejo Peña,

Palma Dávila,

Durand Onofre

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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This systematic review starts with the purpose of offering a study on the use of wave energy in the coastal zone. Scopus, ScienceDirect, EBSCO and IOP Publishing search engines were used to collect information, starting with an unfiltered search of the topic to be investigated, thus obtaining a total of 10,125 documents; After applying a series of filters through the PRISMA selection process, a total of 31 articles were obtained, which were used for the final development of the systematic review. Finally, it is concluded that the use of a wave energy converter will depend on several factors: the type of converter, the areas where the converters are more efficient and the nature of the waves.

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Section: Discussionmentioning

confidence: 99%

Electrical utilization through Wave Energy

Espejo Peña,

Palma Dávila,

Durand Onofre

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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“…This reanalysis product is used to train and validate the ConvLSTM network. Usage of this product is justified as researchers have extensively validated the dataset and found that it is in good agreement with observations (Mondon and Warner, 2009;Zheng and Li, 2015;Triasdian et al, 2019). The study area is defined as the coastal waters in the northwestern Pacific Ocean enclosed by 105 • E to 126 • E and 4 • N to 43 • N. The study period is selected from 2011 to 2019.…”

Section: Significant Wave Height Reanalysis Productmentioning

confidence: 93%

ConvLSTM-Based Wave Forecasts in the South and East China Seas

Zhou

Xie

et al. 2021

Front. Mar. Sci.

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Numerical wave models have been developed for the wave forecast in last two decades; however, it faces challenges in terms of the requirement of large computing resources and improvement of accuracy. Based on a convolutional long short-term memory (ConvLSTM) algorithm, this paper establishes a two-dimensional (2D) significant wave height (SWH) prediction model for the South and East China Seas trained by WaveWatch III (WW3) reanalysis data. We conduct 24-h predictions under normal and extreme conditions, respectively. Under the normal wave condition, for 6-, 12-, and 24-h forecasting, their correlation coefficients are 0.98, 0.93, and 0.83, and the mean absolute percentage errors are 15, 29, and 61%. Under the extreme condition (typhoon), for 6 and 12 h, their correlation coefficients are 0.98 and 0.94, and the mean absolute percentage errors are 19 and 40%, which is better than the model trained by all the data. It is concluded that the ConvLSTM can be applied to the 2D wave forecast with high accuracy and efficiency.

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“…It should be noted that not all converters require tertiary energ conversion; some only need two stages, the first and the third, to complete the entir process. [31,34,35].…”

Section: Classification and Working Principle Of Wecmentioning

confidence: 99%

Research on Wave Energy Converters

Lian,

Wang,

Wang

et al. 2024

Energies

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With the acceleration of the global warming process, the clean energy crisis is becoming serious; conventional energy is unlikely to solve the current crisis, so people pay attention to new energy. As wave energy is widely distributed, renewable, and clean, hundreds of wave energy converters emerge. In order to understand the research progress of wave energy converters better, this paper divides wave energy converters into overtopping type, oscillating water column type, and oscillating body type according to the working principle and divides the oscillating body type into oscillating float type and oscillating pendulum type by different ways of energy capture. Based on the classification, various types of engineering cases, physical tests and digital simulation, and other academic research results are summarized, especially the generation power and energy conversion efficiency of various devices, and some shortcomings and suggestions are put forward, hoping to provide help for readers to study wave energy generation converters.

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Device Selection of the Potential Wave Energy Site in Indonesian Seas

Cited by 3 publications

References 5 publications

Electrical utilization through Wave Energy

Electrical utilization through Wave Energy

ConvLSTM-Based Wave Forecasts in the South and East China Seas

Research on Wave Energy Converters

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