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KERSEY (70 Ranch) - 8/10/2010 to 8/10/2011

LOCATION DETAILS
Latitude:
N 40° 23.258’ or N 40° 23’ 15"
Longitude:
W 104° 23.920’or W 104° 23’ 55"
Survey Meridian:
Colorado, Sixth Principal Meridian
Township:
5N
Range:
63 W
Section:
23
Elevation:
4,656 ft (1,419.1 m)
Datum:
WGS 84
Tower Type:
Earth Turbines Tilt-Up
Tower Height:
34 m (111.5 feet)
Vane Offset (deg):
+28° (built into raw data)
Direction Basis:
Magnetic North
Mag. Declination:
8° 46' E, changing by 8' W/yr
Symphonie S/N:
309020391
Site No.:
0404

 

CSU ALP Install Team (from left): Daniel Fink, John Purcell, Mark Goudreault, Jake Renquist, Eric Rasbach, and Mike Kostrzewa (taking picture).

DATA DETAILS

August 10, 2010 to August 10, 2011:

The anemometer tower was installed on August 10, 2010 and removed exactly one year later on August 10, 2011. The site was located in a field about 4.8 miles north of U.S. Highway 34 and 8.6 miles due east of Kersey on the 70 Ranch. The terrain was generally flat or slightly rolling in all directions, but the exact site was on a slight rise above all of the terrain within about 1,000 feet of the site. A power transmission line lies about 1/4 mile east of the site.

Data was collected using three (3) NRG #40C Calibrated Anemometers and one (1) NRG #200P Wind Vane, as follows:

  • Anemometers
    1. 33.8 m (111 feet) on an NRG 60" standard boom
    2. 33.8 m (111 feet) on an NRG 60" standard boom
    3. 20.0 m (65.6 feet) on an NRG 60" standard boom
  • Wind Vane
    1. 34.7 m (114 feet) heading 166° on an NRG 13" Z-mast with the null point facing toward the tower

There was also a temperature sensor at a height of 1.8 m (6 feet) on a 6" boom.

All sensors fed into an NRG Symphonie data logger. The certifications for the anemometers are as follows:

NRG #40C Calibrated Anemometers
Anem. No.
1
2
3
Height
33.8 m
33.8 m
20 m
Model No.
1900
1900
1900
Serial No.
1795-00109728
1795-00087808
1795-00087836
Calibration Date
5/4/2009 3:12:53 p.m.
10/31/08 5:39:04 a.m.
10/31/08 10:44:30 a.m.
Slope
0.759 m/s per Hz
0.755 m/s per Hz
0.760 m/s per Hz
Offset
0.30 m/s
0.40 m/s
0.33 m/s

The data logger generated wind reports for each day. Using the Symphonie Data Retriever software, each day's data was complied into one large data file. A zipped file that contains all of the NRG data files and a text version of the aggregate data for all days are given below:

Raw Wind Data Files
NRG Data Plug Files
Txt Files
Kersey_70_Ranch_0404_NRG_2010_0810_to_2011_0810.zip Kersey_70_Ranch_0404_NRG_2010_0810_to_2011_0810.txt

It is important to note that the wind direction data included in these files has already been adjusted for offset at the data logger.

Using this data, an analysis of the wind resource report was developed using Windographer 1.49. For this report, a validation analysis was performed on the data. This data was filtered two ways:

  1. Any wind speed data where the wind speed was less than 1 m/s for 3 hours or more when the temperature was less than 2°C was deleted.
  2. Any wind direction data where the wind direction varied by less than 3 degrees over 3 hours when the temperature was less than 2°C was deleted.

Windographer was then used to add in synthetic data to these intervals with suspect data. During the period considered, there were no intervals of suspect data, so no synthetic data were added.

The final summary report, the combined data files (with and without the data quality analysis), and the Windographer files (with and without the data quality analysis) are given below:

However, when the tower was removed, the crew noticed that one of the three cups on the 20m anemometer was damaged. The cup could have been damaged by the guy wires as the tower was lowered because the anemometer was directly in alignment with the lifting guys. But the cup could have also been damaged before lowering the tower - it's a little hard to notice this type of damage from 20 m below.

So we looked at the data so see if there was any indication of prior damage. The 20 m anemometer throughout the entire data collection period has recorded significantly reduced wind speed than the 34 m anemometers, but starting on June 11, 2011 at 18:00, the sensor looked to have longer periods of low or no wind speed. This affected the power law exponent because it is a curve-fit with the 20m and 34m wind speed data. The graph below shows how the power law exponent varied over the entire data collection period:

The change in the power law exponent occurs in early June, perhaps as early as June 8 but certainly by June 11. For this reason, we prepared another wind resource assessment after removing the 20m wind speed data from 18:00 on June 11 through the remaining two months of the data collection period. The revised final summary report, the combined data file (with the data quality analysis), and the Windographer file (with the data quality analysis) with the bad data removed are given below:

The tables and graphs below show the results both with and without this data removed.

But even with this consideration, the final result is that the wind at this site is a Class 1 wind at 34m and would likely still be a Class 1 wind at 50m.

Final Wind Resource Summary

The anemometer tower was removed from the site on August 10, 2011. Highlights of the wind resource at this site for the entire monitoring period are shown below:

Data Properties - WITH BAD DATA REMOVED
Data Set Starts:
8/10/2010 14:30 MST
Data Set Ends:
8/10/2011 09:00
Data Set Duration:
12 months
Length of Time Step:
10 minutes
Elevation:
1,419 m (4,656 ft.)
Mean air density (kg/m³):
1.050
Wind Power Coefficients
Power Density at 50m:
176 W/m²
Wind Power Class:
1 (Poor)
Wind Shear Coefficients
Power Law Exponent:
0.164
Surface Roughness:
0.0588 m
Roughness Class:
1.56
Roughness Description:
Crops

 

Data Properties - WITH BAD DATA INCLUDED
Data Set Starts:
8/10/2010 14:30 MST
Data Set Ends:
8/10/2011 09:00
Data Set Duration:
12 months
Length of Time Step:
10 minutes
Elevation:
1,419 m (4,656 ft.)
Mean air density (kg/m³):
1.050
Wind Power Coefficients
Power Density at 50m:
184 W/m²
Wind Power Class:
1 (Poor)
Wind Shear Coefficients
Power Law Exponent:
0.215
Surface Roughness:
0.248 m
Roughness Class:
2.75
Roughness Description:
Many Trees

 

RESULTS - WITH BAD DATA REMOVED
Height above ground
A: 33.8m (111 ft.)
B: 33.8m (111 ft.)
20m (66 ft.)
10-min. Mean wind speed (m/s)
4.783 4.797 4.439
10-min Median wind speed (m/s)
4.000 4.050 3.700
10-min Min. wind speed (m/s)
0.144 0.144 0.131
10-min Max wind speed (m/s)
22.59 20.98 21.27
10-min Standard deviation (m/s)
3.354 3.089 3.131
Weibull k
1.467 1.628 1.468
Weibull c (m/s)
5.291 5.374 4.915
Mean power density (W/m²)
164 147 133
Mean energy content (kWh/m²/yr)
1,437 1,284 1,169
Mean turbulence intensity
0.219 0.189 0.222
Energy pattern factor
2.873 2.543 2.914
1-hr autocorrelation coefficient
0.806 0.801 0.820
Diurnal pattern strength
0.253 0.241 0.259
Hour of peak wind speed
18 18 17
Possible records
52,527 52,527 44,373
Valid records
52,379 52,457 43,941
Missing records
148 70 8,586
Data recovery rate (%)
99.72 99.87 83.65
Total data elements
1,050,540
Suspect/missing elements
8,804
Data completeness (%)
99.1

 

RESULTS - WITH BAD DATA INCLUDED
Height above ground
A: 33.8m (111 ft.)
B: 33.8m (111 ft.)
20m (66 ft.)
10-min. Mean wind speed (m/s)
4.783 4.797 4.278
10-min Median wind speed (m/s)
4.000 4.050 3.610
10-min Min. wind speed (m/s)
0.144 0.144 0.131
10-min Max wind speed (m/s)
22.59 20.98 21.27
10-min Standard deviation (m/s)
3.354 3.089 3.102
Weibull k
1.467 1.628 1.398
Weibull c (m/s)
5.291 5.374 4.694
Mean power density (W/m²)
164 147 123
Mean energy content (kWh/m²/yr)
1,437 1,284 1,081
Mean turbulence intensity
0.219 0.189 0.231
Energy pattern factor
2.873 2.543 3.024
1-hr autocorrelation coefficient
0.806 0.801 0.803
Diurnal pattern strength
0.253 0.241 0.291
Hour of peak wind speed
18 18 17
Possible records
52,527 52,527 52,527
Valid records
52,379 52,457 52,314
Missing records
148 70 213
Data recovery rate (%)
99.72 99.87 99.59
Total data elements
1,050,540
Suspect/missing elements
611
Data completeness (%)
99.9

 

 

Vertical Wind Shear, Height (m) vs Mean Wind Speed (m/s)

WITHOUT BAD DATA

 

Vertical Wind Shear, Height (m) vs Mean Wind Speed (m/s)

WITH BAD DATA INCLUDED

 

Wind Frequency Rose at 33.8 meters

 

Wind Energy Rose at 33.8 meters

 

Daily Wind Speed Profile, Hourly Mean Wind Speed (m/s) vs. Hour of the Day

WITHOUT BAD DATA

 

Daily Wind Speed Profile, Hourly Mean Wind Speed (m/s) vs. Hour of the Day

WITH BAD DATA INCLUDED

 

Seasonal Wind Speed Profile, Monthly Mean Wind Speed (m/s) vs. Month

WITHOUT BAD DATA

 

Seasonal Wind Speed Profile, Monthly Mean Wind Speed (m/s) vs. Month

WITH BAD DATA INCLUDED

 

Probability Distribution Function at 33.8m - Sensor A: Frequency (%) vs. Wind Speed

 

Probability Distribution Function at 33.8m - Sensor B: Frequency (%) vs. Wind Speed

 

Probability Distribution Function at 20m: Frequency (%) vs. Wind Speed

WITHOUT BAD DATA

 

Probability Distribution Function at 20m: Frequency (%) vs. Wind Speed

WITH BAD DATA INCLUDED

Windographer was used to match up the wind at this site with the performance curves of some common turbines of various sizes and various heights. The table below shows the results. For the larger turbines, the tower height was increased to account for the larger turbine blades - the wind resource was extrapolated to these higher heights. Keep in mind that the larger and the higher the turbine, the better the wind and the greater the output. But of course, as the tower heights and turbine sizes increase so does the cost.

WITHOUT BAD DATA

Turbine
Rotor
Diameter
meters
Rotor
Power
kW
Hub
Height
meters
Hub
Height
Wind
Speed
m/s
Time
At
Zero
Output
percent
Time
At
Rated
Output
percent
Average
Net
Power
Output
kW
Average
Net
Energy
Output
kWh/yr
Average
Net
Capacity
Factor
%
Bergey Excel-R
6.7
7.5
34 4.76 37.7 3.3 1.3 11,400 17.3
Bergey Excel-S
6.7
10
34 4.76 21.5 2.0 1.4 12,600 14.4
Bergey XL.1
2.5
1
34 4.76 8.1 4.8 0.2 1,700 19.9
Southwest Skystream 3.7
3.7
1.8
34 4.76 35.2 0.0 0.4 3,100 19.8
Southwest Whisper 500
4.5
3
34 4.76 37.6 4.1 0.6 5,600 21.2
Northern Power NW 100/21
20
100
37 4.81 34.8 0.0 14.8 129,500 14.8
Vestas V47 - 660 kW
47
660
65 5.21 33.5 0.4 111.2 973,700 16.8
GE 1.5s
70.5
1,500
80.5 5.38 40.2 3.3 232.0 2,032,300 15.5
Vestas V80 - 2.0 MW
80
2,000
100 5.56 39.0 1.8 386.9 3,389,500 19.3
GE 2.5xl
100
2,500
110 5.65 31.8 4.3 546.4 4,786,600 21.9

WITH BAD DATA INCLUDED

Turbine
Rotor
Diameter
meters
Rotor
Power
kW
Hub
Height
meters
Hub
Height
Wind
Speed
m/s
Time
At
Zero
Output
percent
Time
At
Rated
Output
percent
Average
Net
Power
Output
kW
Average
Net
Energy
Output
kWh/yr
Average
Net
Capacity
Factor
%
Bergey Excel-R
6.7
7.5
34 4.73 38.2 3.3 1.3 11,400 17.3
Bergey Excel-S
6.7
10
34 4.73 23.0 2.0 1.4 12,600 14.4
Bergey XL.1
2.5
1
34 4.73 9.7 4.8 0.2 1,700 19.9
Southwest Skystream 3.7
3.7
1.8
34 4.73 35.9 0.0 0.4 3,100 19.8
Southwest Whisper 500
4.5
3
34 4.73 38.1 4.1 0.6 5,600 21.2
Northern Power NW 100/21
20
100
37 4.80 35.2 0.0 14.9 130,800 14.9
Vestas V47 - 660 kW
47
660
65 5.37 32.4 0.4 120.1 1,052,100 18.2
GE 1.5s
70.5
1,500
80.5 5.63 38.0 3.8 259.1 2,269,800 17.3
Vestas V80 - 2.0 MW
80
2,000
100 5.91 36.3 2.2 439.5 3,850,400 22.0
GE 2.5xl
100
2,500
110 6.04 29.7 5.3 626.2 5,485,600 25.0

IMPORTANT: No turbine losses are included in the power, energy, and capacity factor values in the table. Typically, turbine losses can be 5-20% to account for maintenance downtime, icing/soiling and losses from other turbines in a wind farm. Users wanting to be conservative in the performance projections should multiply the power, energy, and capacity values by (1- % losses) to account for these losses.


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Last updated: June 2009
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