The Potential of Conversion of Sea Wave Energy to Electric Energy: The Performance of Central Sulawesi West Sea using Oscillating Water Column Technology

Rahman, Y A; Setiyawan,

doi:10.1088/1755-1315/926/1/012073

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…A summary of the WEC research in Indonesia is presented in Table 3. Rahman & Setiyawan 69) simulate the OWC devices that the electricity generated is enough for Alindau Village demand. Other researchers conducted a laboratory experiment on the ocean wave characteristics' effect on air pressure in OWC 68) .…”

Section: Discussionmentioning

confidence: 99%

A Mini Review: Wave Energy Converters Technology, Potential Applications and Current Research in Indonesia

Muhammad Alfan Santoso,

Wijayanti,

Ridwan Budi Prasetyo

et al. 2023

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Wave energy is a promising renewable resource and is increasingly in demand in most countries, including Indonesia. The potential for the use of wave energy is quite large in Indonesia, especially in areas with coastlines that are directly exposed to open ocean waters. The use of this wave energy has the potential to be integrated with breakwater buildings in several locations as an alternative that can be considered. This is a significant solution, especially in areas where the implementation of network connections is not possible. However, wave energy technology among other renewable technologies is still considered in ongoing development. Another obstacle is the challenge of energy transfer where there is a requirement for a steady and uninterrupted energy supply, while the voltage generated from the surge can vary continuously. Therefore, this paper shows a general overview of wave energy converter (WEC) technology and power conversion. A solid perception concerning them is outlined. Furthermore, this paper describes research and projects for energy conversion and wave power as well as alternatives to WEC technology and suitable locations in Indonesia.

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Section: Discussionmentioning

confidence: 99%

A Mini Review: Wave Energy Converters Technology, Potential Applications and Current Research in Indonesia

Muhammad Alfan Santoso,

Wijayanti,

Ridwan Budi Prasetyo

et al. 2023

Evergreen

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“…With the popularization and application of new energy developments, ocean wave energy extraction has become a popular research direction for converting this renewable energy into electric energy [1,2]. However, during the research process of ocean wave energy extraction, the conversion efficiency from ocean wave energy into electric energy is low, which is analyzed and verified by many experts [3][4][5]. For example, reference [3] has estimated that the power efficiency of ocean wave energy to electric energy is 11.97%, and reference [4] has calculated that the operation efficiency and power translation of the wave energy converter is 23% (without operation control).…”

Section: Introductionmentioning

confidence: 99%

“…However, during the research process of ocean wave energy extraction, the conversion efficiency from ocean wave energy into electric energy is low, which is analyzed and verified by many experts [3][4][5]. For example, reference [3] has estimated that the power efficiency of ocean wave energy to electric energy is 11.97%, and reference [4] has calculated that the operation efficiency and power translation of the wave energy converter is 23% (without operation control). Moreover, reference [5] has obtained that the natural efficiency of the wave energy conversion system is 1.4%, and the experimental test process was implemented in the Yellow Sea near Lianyungang port.…”

Section: Introductionmentioning

confidence: 99%

Predication of Ocean Wave Height for Ocean Wave Energy Conversion System

2023

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Ocean wave height is one of the critical factors to decide the efficiency of the ocean wave energy conversion system. Usually, only when the resonate occurs between the ocean wave height (ocean wave speed in the vertical direction) and ocean wave energy conversion system, can the conversion efficiency from ocean wave energy into electric energy be maximized. Therefore, this paper proposes two predication methods to predict the future ocean wave height in 1.5–2.5 s. Firstly, the data fitting of real ocean wave height is achieved by the polynomial method, which is beneficial to the predication of ocean wave height. Secondly, the models of the moving average (MA) predication method and auto regressive (AR) predication method are presented by the time series analysis process. Lastly, after the predication of ocean wave height by the MA method and AR method, and compared with the data fitting result of real ocean wave height, it can be found that the AR method is more accurate for the predication of ocean wave height. In addition, the predication results also indicated that the error between the predication value and true value in the future 2.5 s is considered acceptable, which provides enough time to optimize the operation process of the ocean wave energy conversion system by a suitable control method.

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