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114 Fundamentals of Ocean Renewable Energy


            5.1.4 Irregular Waves
            So far, we have considered a wave that is characterized by a single frequency and
            direction (i.e. a monochromatic wave). Monochromatic waves can be generated
            in laboratories (wave tanks), but are rarely seen in the ocean. Waves, which have
            been generated by wind, are irregular and include many wave frequencies. As
            ‘wind waves’ travel over long distances, they are dispersed, because the wave
            celerity/speed is dependent on the frequency. These waves are called ‘swell
            waves’ and are more similar to regular waves.
               Within the range of validity of linear wave theory (see the next section),
            we can superimpose several monochromatic/sine waves to construct a more
            realistic irregular wave. Conversely, we can decompose an irregular wave into a
            number of sinusoidal waves, which have different frequencies. Mathematically
            speaking, this is the concept of the Fourier series/integral, which is based on the
            principal that any function can be constructed by combining a set of simple sine
            waves. This is a powerful method, because we can also find the wave properties,
            such as pressure, acceleration, and energy, by combining/superimposing the
            hydrodynamic field of these individual sine waves.
               Two main approaches exist to deal with irregular waves: statistical and
            spectral. In the statistical approach, statistical variables are calculated and used
            to represent irregular waves. For instance, parameters such as the average wave
            period, and the root mean square wave height, can be used to represent the
            wave period, and the wave height, respectively, for a realistic sea state. In this
            approach, the sea state is represented by a probability distribution function such
            as Rayleigh, and statistical parameters are derived from that distribution. The
            spectral method is based on the concept of the Fourier transform and is the basis
            of spectral wave models, such as SWAN [2], TOMAWAC [4], or STWAVE [5],
            which are commonly used for wave energy resource characterization. A detailed
            discussion about irregular waves is beyond the scope of this book and can be
            found in many other resources (e.g. [1,6]). Here, basic concepts, with a focus on
            wave power, are presented.
               As mentioned, we can combine several waves with a range of frequencies
            and phases, to construct an irregular wave, or vice versa. Mathematically
            speaking, this means
                                        N

                                 η(t) =   a i sin(σ i t + g i )        (5.22)
                                        i=1
            where a i and g i are the amplitude and phase of an individual sine wave,
            respectively, and η represents the time series of an irregular wave. The total
            energy of this irregular wave is found by adding up the energy of all sine waves
            as follows
                                        N           N
                                   1       2   1       2
                               E =   ρg   a =   ρg    H i              (5.23)
                                           i
                                   2           8
                                       i=1         i=1
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