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Wave power

About: Wave power is a research topic. Over the lifetime, 2671 publications have been published within this topic receiving 41439 citations. The topic is also known as: wind wave energy & sea wave energy.


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Journal ArticleDOI
TL;DR: In this article, the most relevant patterns of the wave energy propagation in the western side of the Black Sea were assessed in the present work, focusing on the Romanian nearshore, which is the most energetic part of the basin.
Abstract: The most relevant patterns of the wave energy propagation in the western side of the Black Sea were assessed in the present work. The emphasis was put on the western side because this is also the most energetic part of the Black Sea. The assessments performed relate some recent results provided by a numerical wave modeling system based on the spectrum concept. The SWAN model (acronym for Simulating Waves Nearshore) was considered. This was implemented over the entire sea basin and focused with increasing resolution in the geographical space towards the Romanian nearshore. Furthermore, some data assimilation techniques have also been implemented, such that the results provided are accurate and reliable. Special attention was paid to the high, but not extreme, winter wave energy conditions. The cases considered are focused on the coastal waves generated by distant storms, which means the local wind has not very high values in the targeted areas. This also takes into account the fact that the configuration of the environmental matrix in the Black Sea is currently subjected to significant changes mainly due to the climate change. From this perspective, the present work illustrates some of the most recent patterns of wave energy propagation in the western side of the Black Sea, considering eight different SWAN computational domains. According to most of the recent evaluations, the nearshore of the Black Sea is characterized by an average wave power lower than 6 kW/m. The results of the present work show that there is a real tendency of the wave energy enhancement. This tendency, especially concerns the western side of the basin, where in the high conditions considered, values of the wave power about 10 times greater than the average have been noticed.

11 citations

Journal ArticleDOI
22 Jun 2021-Energies
TL;DR: The results demonstrated that the proposed MFO can outperform other optimisation methods in maximising the total power harnessed from a wave energy converter (WEC) using bio-inspired swarm-evolutionary optimisation algorithms based on a sample wave regime.
Abstract: Ocean renewable wave power is one of the more encouraging inexhaustible energy sources, with the potential to be exploited for nearly 337 GW worldwide. However, compared with other sources of renewables, wave energy technologies have not been fully developed, and the produced energy price is not as competitive as that of wind or solar renewable technologies. In order to commercialise ocean wave technologies, a wide range of optimisation methodologies have been proposed in the last decade. However, evaluations and comparisons of the performance of state-of-the-art bio-inspired optimisation algorithms have not been contemplated for wave energy converters’ optimisation. In this work, we conduct a comprehensive investigation, evaluation and comparison of the optimisation of the geometry, tether angles and power take-off (PTO) settings of a wave energy converter (WEC) using bio-inspired swarm-evolutionary optimisation algorithms based on a sample wave regime at a site in the Mediterranean Sea, in the west of Sicily, Italy. An improved version of a recent optimisation algorithm, called the Moth–Flame Optimiser (MFO), is also proposed for this application area. The results demonstrated that the proposed MFO can outperform other optimisation methods in maximising the total power harnessed from a WEC.

11 citations

Journal ArticleDOI
TL;DR: In this article, the pitch motion and anchor loading of three articulated tower installations in 50 m water depth while being exposed to north Atlantic storms with Hs of 15.2 m and Tp of 18.4 s were investigated.

11 citations

Journal ArticleDOI
18 Apr 2018-Energies
TL;DR: In this article, the wave energy propagation patterns in the western side of the Iberian nearshore were evaluated, taking into account the results provided by a wave modelling system based on spectral phase averaged wave models.
Abstract: In the present work the wave energy propagation patterns in the western side of the Iberian nearshore were evaluated. This assessment takes into account the results provided by a wave modelling system based on spectral phase averaged wave models, which considers subsequent computational domains with increasing resolution towards the coast. The system was previously validated against both in situ measurements and remotely sensed data. Moreover, several data assimilation techniques were implemented as well. In this way, the reliability of the wave predictions was significantly increased. Although extended wave hindcasts have already been carried out close to the Iberian coast of the Atlantic Ocean, including wave energy assessments, they might not be completely accurate because of recent changes in the dynamics of the ocean and coastal wave climate. Thus, the present work considers wave nowcasts that correspond to the most recent and relevant wave energy propagation patterns in the targeted coastal environment. In order to perform this analysis, four different computational levels were considered. The first level corresponds to the sub oceanic domain and it is linked directly to the oceanic wave model, which is implemented over the entire North Atlantic Ocean. The second is related to the coarser computational domains of the coastal areas, while the third relates to the high-resolution domains. These three levels are defined as spherical coordinates (longitude, latitude). Finally, the last computational level includes some coastal areas which have the highest spatial resolution, defined considering the Cartesian coordinates. Moreover, for each level several computational domains have been considered. This work illustrates the most recent and significant wave transformation and energy propagation patterns corresponding to 18 computational domains with various resolutions in the western Iberian coastal environment.

11 citations

Patent
19 May 2003
TL;DR: In this article, the authors present a design support system for a power supply system that performs a support for designing an optimum combination of a generator set utilizing natural energy such as sunlight, wind power and wave power.
Abstract: PROBLEM TO BE SOLVED: To provide a design support system for a power supply system that performs a support for designing an optimum combination of a generator set utilizing natural energy such as sunlight, wind power and wave power. SOLUTION: A power supply system model is constituted by selecting a variety of the generating sets with natural energy as drive sources, a power consumption apparatus model is constituted by inputting the power consumption of a variety of power consumption apparatuses installed at environmental plant facilities, a predicted output power rate at each hourly zone of one day at the power supply system model is calculated with atmospheric data of a target region wherein the environmental plant facilities are installed, as an input, the transition of the predicted output power rate of the one day is graphed and indicated, a scheduled power consumption rate at each hourly zone of the one day at the power consumption apparatus model is calculated with an operating time for which each power consumption apparatus of the power consumption apparatus model operates at each hourly zone of the one day, and the scheduled power consumption rate of the one day is graphed and indicated. COPYRIGHT: (C)2005,JPO&NCIPI

11 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202349
2022117
2021111
2020142
2019137
2018138