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Data mining models to predict ocean wave energy flux in the absence of wave records

Mahmoodi K., Ghassemi H., Nowruzi H.

Zeszyty Naukowe Akademii Morskiej w Szczecinie

2017

nr 49 (121)

119--129

Ocean wave energy is known as a renewable energy resource with high power potential and without negative environmental impacts. Wave energy has a direct relationship with the ocean’s meteorological parameters. The aim of the current study is to investigate the dependency between ocean wave energy flux and meteorological parameters by using data mining methods (DMMs). For this purpose, a feed-forward neural network (FFNN), a cascade-forward neural network (CFNN), and gene expression programming (GEP) are implemented as different DMMs. The modeling is based on historical meteorological and wave data taken from the National Data Buoy Center (NDBC). In all models, wind speed, air temperature, and sea temperature are input parameters. In addition, the output is the wave energy flux which is obtained from the classical wave energy flux equation. It is notable that, initially, outliers in the data sets were removed by the local distribution based outlier detector (LDBOD) method to obtain the best and most accurate results. To evaluate the performance and accuracy of the proposed models, two statistical measures, root mean square error (RMSE) and regression coefficient (R), were used. From the results obtained, it was found that, in general, the FFNN and CFNN models gave a more accurate prediction of wave energy from meteorological parameters in the absence of wave records than the GEP method.

Przekształtnik energii fal oceanicznych - Wave Dragon MW

Kaźmierkowski M., Jasiński M., Sorensen H.

Przegląd Elektrotechniczny

2008

R. 84, nr 2

8-13

Artykuł prezentuje podstawowe informacje na temat przekształtnika energii fal morskich Wave Dragon MW oraz problemy związane z wyborem systemu odbioru i przesyłu energii do linii zasilającej. Omówiono niektóre z możliwości rozwiązań systemu prądnica – energoelektroniczny przekształtnik sieciowy, a także przedstawiono wstępne wyniki badań symulacyjnych (w pakiecie symulacyjnym SABER i Matlab) i eksperymentalnych z generatorami indukcyjnym i synchronicznym o magnesach trwałych oraz przekształtnikiem AC/DC/AC dwu i trzy poziomowym.

The paper has as an objective to combine and disseminate information on generators and power electronics solutions for Wave Dragon MW Power Take Off system. Wave Dragon MW captures power from the sea waves by means of low-head turbines and converts it to rotating mechanical power. In recent years because of energetic problem on almost whole world power electronics and electric machines as well as renewable energy market has been intensively developed. Problems which can appear in mechanical power to electrical power conversion in Wave Dragon MW can be expected to be similar as in wind turbine. However, subject of the mechanical energy conversion from sea waves to electrical energy is not well identified and further research should be curried out.