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Analysis of Load and Calculated Available Wind Power using Data from the Bonneville Power Administration. Demetrios Bovopoulos West High School ‘12 Emmanuel Gyebison West High School ‘13 Jacob Armstrong West High School ‘13 Young Scholar’s Program July 17, 2012 Knoxville, Tennessee.
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Analysis of Load and Calculated Available Wind Power using Data from the Bonneville Power Administration DemetriosBovopoulos West High School ‘12 Emmanuel Gyebison West High School ‘13 Jacob Armstrong West High School ‘13 Young Scholar’s Program July 17, 2012 Knoxville, Tennessee
Matlab • MATLAB was used to analyze the data, which was from a Bonneville Power Administration (BPA) meteorological site in Oregon. • Matlab provides: • The ability to perform loops • Intuitive function names • The ability to read and write Excel files • A program was written to • Get the data • Calculate the power using a model taken from http://www.stanford.edu/group/efmh/winds/aj07_jamc.pdf for a GE 1.5 MW turbine
Use of MATLAB • Calculate the capacity factor and average per-turbine output • Compare this output to the load
Data Analysis • Our data showed that the wind is highest at night • The wind speed was lowest around noon. • Some of our data proved that the lower the temperature, the better the wind output.
Using a turbine to model the wind data • We used a 1.5 MW GE turbine as our model • It would take 8879 wind turbines to generate as much energy as was consumed by the load. The cost of this would be $12 billion • 200 turbines would provide 2.25% of the loadat a cost of $260 million • The capacity factor is 45.47% – very high for a wind farm. • The average load is 6.0555 GW over the time period in question.
Why Wind is the Future • Wind shows potential to be the answer. It looks promising as a alternative source of power. • The wind is forever free • Unlike fossil fuel power stations, wind turbines do not produce harmful emissions. • By dispersing wind farms, a certain percentage of the total energy output can be used for base-load power generation.
Offshore wind power provides continuous reliable power Wind can be integrated easily with the grid because most of the energy from a wind turbine is already in the form of 60Hz AC As height increases, wind becomes steadier
Cons and misconceptions of wind • The wind doesn’t blow all the time at any given site. • The speed of the wind is constantly changing. • Some people think its too noisy.
Not in my back yard • People do not want wind turbines near their houses • BUT… • Most wind sites are in sparsely populated areas • Some of the land is occupied by farmers, but wind turbines do NOT prevent the growth of crops on the land • Leasing the right to place wind turbines on the land would be an option.
Our Proposal • Wind would do very little for a city like Knoxville. • So we found a place that is such that wind could provide most of its energy
Santa Barbara • Population 90,000 • It is located between a mountain and an ocean • Both are great places for wind turbines.
Santa Barbara has a power demand of about 30MW and a peak demand of 50 MW. • So what we are proposing is that (10) 6 MW offshore wind turbines be put in place and (20) 2MW wind turbines be put on the mountain • The overall cost would be around $150 million
This plan could be used for small towns all around the USA that are close to the ocean and mountains. • Over time the savings in electricity would repay the cost of building wind farms.
http://science.howstuffworks.com/environmental/green-science/wind-turbine-kill-birds.htmhttp://science.howstuffworks.com/environmental/green-science/wind-turbine-kill-birds.htm • http://www.energy.siemens.com/us/en/power-generation/renewables/wind-power/?stc=usccc025486 • http://transmission.bpa.gov/business/operations/wind/ • http://www.sce.com/ • http://www.stanford.edu/group/efmh/winds/aj07_jamc.pdf