From Earlham CS Department
- 1 Project goals: To determine the feasibility of a utility scale wind farm being constructed in the fields back campus.
- 2 References
Project goals: To determine the feasibility of a utility scale wind farm being constructed in the fields back campus.
- I have talked with Arlene DeBlanc about possible government grants
- I have analyzed data from RP&L's tall towers survey.
- I have analyzed data from the Indiana Tall Towers Wind Survey
- I have analyzed the data from the weather station on the roof of Dennis
- I have contacted numerous manufacturers for price quotes and other information on possible turbines
- I have investigated various funding sources
- Long blades (100M diameter+)
- Tall tower (100M+ height)
REpower USA 1-503-517-7160 PDT
Nordex Germany +49 - (40) - 300 30 - 1490 GMT+1
Fuhrlander Germany 49-(0)2664-9966-0 GMT+1
Vestas USA (+1) 503 327 2000 PDT
- B&I guaranteed loans
- Cover up to 10 Million $ (up to 40 in some cases)
- Guarantee 60-70% of the loans against default
- Up to 50,000$ for economic development
- Deadline for this year has already passed
- Average award of 9 Million $
- Must show that project will help the local economy
- Need to find or create comprehensive economic development strategy
- RP&L placed anemometers at the Kicks 96 tower
- anemometers were placed at 50m and 100m, in sets of 2.
- The data we received doesn't state where each anemometer is
- After processing the first two sensors correspond closely (8.39 M/s, 8.31 M/s)
- Sensor three reports a slightly higher windspeed, corresponding to a doubling of altitude (9.24 M/s)
- Sensor four reports what appears to be an anomalously low average speed. (5.38 M/s)
- Prior to processing all values about 30 M/s were removed
- Removal was justified by the range of values (up to 8008 M/s) that failed sanity check
- Removal does not affect power generated as there wind speeds above 25 M/s are not usable by the wind turbines.
- Prior to removal of 300 M/s+ data sensors three and four had roughly similar average values
- RP&L data shows a significantly higher windspeed than is estimated by satellite data (6.5 M/s)
- This increased the estimated output by turbine by roughly one third.
Dennis Roof Data
- Data was retrieved from the weather station on the roof of Dennis
- Data ranges from January 5th 2000 to March 10 2009
- The average wind speed over that time is 5.64 M/s
- Assuming the sensor is at 10 M the 1/7th power rule extrapolates that the wind speed at 100M should be 7.84 M/s
- 1/7th power law is: u/ur = (z/zr)?
- With our numbers: (100/10)0.143=7.84 M/s
- This indicates that the RP&L survey is more likely to be closer to the true wind speed than the satellite data.