Performance analysis and tank test validation of a hybrid ocean wave-current energy converter with a single power takeoff

Jiang, Boxi; Li, Xiaofan; Chen, Shuo; Xiong, Qiuchi; Chen, Bang-Fuh; Parker, Robert G.; Zuo, Lei

doi:10.1016/j.enconman.2020.113268

Cited by 40 publications

(11 citation statements)

References 31 publications

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“…These sources are very promising and available at all times during the day. Moreover, these energy sources in marine environments have a high density compared to the other sources of renewable energies, such as wind or solar energies [44]. In the following, a short introduction will be given to each of the marine energy sources that piezoelectric energy harvesters are designed for.…”

Section: Ocean Energy Sources For Piezoelectric Energy Harvestersmentioning

confidence: 99%

An Atlas of Piezoelectric Energy Harvesters in Oceanic Applications

Kargar

Hao

2022

Sensors

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Nowadays, a large number of sensors are employed in the oceans to collect data for further analysis, which leads to a large number of demands for battery elimination in electronics due to the size reduction, environmental issues, and its laborious, pricy, and time-consuming recharge or replacement. Numerous methods for direct energy harvesting have been developed to power these low-power consumption sensors. Among all the developed harvesters, piezoelectric energy harvesters offer the most promise for eliminating batteries from future devices. These devices do not require maintenance, and they have compact and simple structures that can be attached to low-power devices to directly generate high-density power. In the present study, an atlas of 85 designs of piezoelectric energy harvesters in oceanic applications that have recently been reported in the state-of-the-art is provided. The atlas categorizes these designs based on their configurations, including cantilever beam, diaphragm, stacked, and cymbal configurations, and provides insightful information on their material, coupling modes, location, and power range. A set of unified schematics are drawn to show their working principles in this atlas. Moreover, all the concepts in the atlas are critically discussed in the body of this review. Different aspects of oceanic piezoelectric energy harvesters are also discussed in detail to address the challenges in the field and identify the research gaps.

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Section: Ocean Energy Sources For Piezoelectric Energy Harvestersmentioning

confidence: 99%

An Atlas of Piezoelectric Energy Harvesters in Oceanic Applications

Kargar

Hao

2022

Sensors

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“…Absorbing wave energy and transforming it into electricity implies wave energy converters (WECs) that use the motion of ocean surface waves to convert ocean wave energy into electricity. In general, there are different types of WEC systems [5,6]. Due to the important role of WECs in producing electricity from ocean waves, the precise forecast can not only reduce costs for investment but also be essential for the management and operation of electrical power.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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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.

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“…Further to the absorber oscillating in heave, the concept of a pitching point absorber involves mounting an arm on the top of the absorber with a single pitching degree of freedom. The top-mounted pitching point absorber is designed to work together with other technologies on an offshore platform [19,20,21]. In this way, construction, deployment, and maintenance costs can be substantially reduced, and so such absorbers offer great potential for deep ocean applications.…”

Section: Challenge Of Wave Energymentioning

confidence: 99%