Calculations
By using data from the National Data Buoy Center, I was able to find the actual power contained in the waves at four sites around Hawaii (the only four in this general area sites that are monitored by NBDC equipment). Using historical data graphs, I calculated the average yearly wave heights and average yearly wave periods for all four sites (a map of these sites can be found below). With these values, I was able to calculate the actual power per unit width contained in the waves around Hawaii.
T = wave period L
= wavelength H = waveheight
n = group velocity parameter g
= gravity ? = density
of water
*I used the deep water wave assumptions of: L = 1.56*T^2 & n = 0.5
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Year Average
(Jan-Dec)
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Power
(MW)
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Efficiency
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185 miles SE of
Hilo, HI
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51004
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0.5
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6.48
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65.50502
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2.47
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37813.12196
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0.037813122
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29%
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215 miles SSW of
Hilo, HI
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51002
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0.5
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6.34
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62.70514
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2.43
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35807.6177
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0.035807618
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31%
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205 miles SW of
Honolulu, HI
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51003
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0.5
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6.66
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69.19474
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2.29
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33405.56465
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0.033405565
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33%
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170 miles W of
Kauai Island
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51001
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0.5
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6.79
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71.9224
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2.46
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39301.90591
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0.039301906
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28%
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Multiplying the power per unit width by the diameter of each PowerBuoy (4.5 m) and by the number of buoys in the system (20), I was able to find the actual power contained in the ocean along the projected width of the system. Dividing 1 megawatt by this number gave me the efficiency for each location. The average of was 30%.
Upon finding this efficiency, I set out to find out where the PowerBuoy system's power generating abilities would be maximized. Out of regional curiosity, I decided to first check some locations in the Great Lakes. I chose one NDBC location in Lake Superior and one in Lake Michigan. My results were just as I had expected: if the same system with a 30% efficiency was installed at either one of these locations, it would require many more than 20 buoys at both spots to generate the target power output of 1 megawatt. My results are shown below.
Year Average (Jan-Dec) | efficiency = 30% | |||||||
Location of buoy | Station ID | n | T (sec) | L (m) | H (m) | Power (watts) | Power (MW) | PowerBuoys needed for 1MW system |
Lake Michigan- 43 miles SE of Milwaukee, WI | 45007 | 0.5 | 3.3 | 16.9884 | 0.765 | 1847.18517 | 0.001847185 | 401 |
Lake Superior- 200 ENE of Hancock, MI | 45004 | 0.5 | 3.7 | 21.3564 | 0.92 | 2995.373628 | 0.002995374 | 247 |
I then calculated, using the
same method as above, the number of PowerBuoys needed to generate 1 megawatt
in two more locations around North America; off the East coast (54 miles
southeast off Nantucket) and West coast (310 north off Adak, Alaska).
The locations and my results are shown below.
Year Average (Jan-Dec) | efficiency = 30% | |||||||
Location of buoy | Station ID | n | T (sec) | L (m) | H (m) | Power (watts) | Power (MW) | PowerBuoys needed for 1MW system |
54 miles SE of Nantucket, MA | 44008 | 0.5 | 5.67 | 50.15228 | 1.725 | 16137.45 | 0.016137 | 46 |
310 miles N of Adak, Alaska | 46035 | 0.5 | 6.59 | 67.74784 | 2.65 | 44264.01 | 0.044264 | 17 |
These results show that Nantucket (and most likely a large portion of the eastern seaboard) is not a very economically viable location to install the PowerBuoy system. Off the coast of Alaska (and perhaps other far northwestern offshore locations) is an even more economically viable location for the system to be installed, requiring less than 20 PowerBuoys to generate the target 1 megawatt of power.
Since the above calculations were all done using average yearly wave heights and wave periods, the results would vary during the summer months and winter months. Winter months usually yield more intense wind patterns, thus raising the average height and period. Summer months usually are more calm, having the opposite effect. Below are my calculations for the same locations using the number of buoys previously calculated for each respective site.
Summer Average (Jun-Aug) | |||||||||
Station ID | n | T (sec) | L (m) | H (m) | Power (watts) | Power (MW) | PowerBuoys | Power generated by system in summer (MW) | |
185 miles SE of Hilo, HI | 51004 | 0.5 | 5.9 | 54.3036 | 2.17 | 26573.27625 | 0.026573276 | 20 | 0.7174785 |
215 miles SSW of Hilo, HI | 51002 | 0.5 | 5.9 | 54.3036 | 2.2 | 27313.1001 | 0.0273131 | 20 | 0.7374537 |
205 miles SW of Honolulu, HI | 51003 | 0.5 | 6.1 | 58.0476 | 1.9 | 21062.53598 | 0.021062536 | 20 | 0.5686885 |
170 miles W of Kauai Island | 51001 | 0.5 | 5.83 | 53.022684 | 1.93 | 20770.97083 | 0.020770971 | 20 | 0.5608162 |
Lake Michigan- 43 miles SE of Milwaukee, WI | 45007 | 0.5 | 2.75 | 11.7975 | 0.43 | 493.1534885 | 0.000493153 | 401 | 0.2669686 |
Lake Superior- 200 ENE of Hancock, MI | 45004 | 0.5 | 2.65 | 10.9551 | 0.35 | 310.4956969 | 0.000310496 | 247 | 0.1035348 |
54 miles SE of Nantucket, MA | 44008 | 0.5 | 5.93 | 54.857244 | 1.13 | 7242.44496 | 0.007242445 | 46 | 0.4497558 |
310 miles N of Adak, Alaska | 46035 | 0.5 | 5.77 | 51.936924 | 1.57 | 13603.43986 | 0.01360344 | 17 | 0.3121989 |
Winter Average (Nov-Feb) | |||||||||
Station ID | n | T (sec) | L (m) | H (m) | Power (watts) | Power (MW) | PowerBuoys | Power generated by system in winter (MW) | |
185 miles SE of Hilo, HI | 51004 | 0.5 | 7 | 76.44 | 2.8 | 52491.348 | 0.052491348 | 20 | 1.4172664 |
215 miles SSW of Hilo, HI | 51002 | 0.5 | 6.88 | 73.841664 | 2.79 | 51223.64369 | 0.051223644 | 20 | 1.3830384 |
205 miles SW of Honolulu, HI | 51003 | 0.5 | 7.5 | 87.75 | 2.69 | 51908.61561 | 0.051908616 | 20 | 1.4015326 |
170 miles W of Kauai Island | 51001 | 0.5 | 7.75 | 93.6975 | 3.11 | 71696.19432 | 0.071696194 | 20 | 1.9357972 |
Lake Michigan- 43 miles SE of Milwaukee, WI | 45007 | 0.5 | 4 | 24.96 | 1.25 | 5977.96875 | 0.005977969 | 401 | 3.2361734 |
Lake Superior- 200 ENE of Hancock, MI | 45004 | 0.5 | 4.6 | 33.0096 | 1.5 | 9899.51625 | 0.009899516 | 247 | 3.3009937 |
54 miles SE of Nantucket, MA | 44008 | 0.5 | 6.3 | 61.9164 | 2.17 | 28374.8543 | 0.028374854 | 46 | 1.7620785 |
310 miles N of Adak, Alaska | 46035 | 0.5 | 7.325 | 83.702775 | 3.65 | 93339.82472 | 0.093339825 | 17 | 2.142149 |
As expected, more than the target 1 megawatt of
power is produced during the winter and less than 1 megawatt during the
summer. This creates a potential problem if communities were to become
reliant on this form of power. Ocean Power Technologies claims that
it is feasible to store the power transmitted to the shore as electricity
in a battery, eliminating the problem of high and low periods of productivity.