Microsoft Word Report 11 02 Wave Power final ex appendix doc

 
Regional model
Once the boundary wave conditions are established, they are plugged into the 
regional model together with wind data for the region of interest. Since the 
running the model can be rather computation heavy, this step can be iterate 
in order to increases the spatial resolution. However, instead of using 
boundary conditions from a global model, the output wave data from the 
previous run with the regional model are used as inputs. With the approach 
briefly describe above time series of directional spectrum for the location of 
interest can modelled.
In wave energy, the power table has become the most common power 
transfer function, similar to the power curve used in wind energy. However, 
since the wave energy flux is determined from two parameters instead of one, 
as the case is in wind energy, a surface function or a table is needed to 
describe the energy conversion instead of a curve. The modelled spectra hold 
all information needed to create a scatter diagram (see fabricated example in 
Figure A.2), i.e. a bivariate occurrence table of Hs vs. Te for e.g. one year. 
Once the scatter diagram is generated it is simply a task of multiplying it with 
the power table, cell by cell, to get the annual energy production.

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ELFORSK 
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Figure A.2: Fabricated occurrence table
Example
occurence
table
Hs/Tp
Hs/Tp
5,00 5,50 6,00 6,50 7,00 7,50 8,00 8,50
9,00
9,50 10,00 10,50 11,00 11,50 12,00 12,50 13,00 13,50 14,00 14,50 15,00
0,50
0,03
0,06
0,08
0,09
0,28
0,53
1,07
1,00
0,12 0,10 0,03 0,04 0,54 0,21 0,17 0,26
0,58
0,21
0,82
0,54
0,53
0,12
0,14
0,12
4,53
1,50
0,15 0,36 0,21 0,24 0,57 0,96 1,24 1,34
1,21
1,03
0,82
0,56
0,32
0,14
0,12
0,03
0,04
9,34
2,00
0,12 0,14 0,35 0,28 0,99 1,18 1,34
1,53
1,45
1,54
1,02
0,35
0,24
0,28
0,05
0,09
10,95