COLORADO ANEMOMETER LOAN PROGRAM
 

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KREMMLING - 11/6/2010 to 11/19/2011

LOCATION DETAILS
Latitude:
N 40° 3.608’ or N 40° 3’ 36.48"
Longitude:
W 106° 24.122’ or W 106° 24’ 7.32"
Survey Meridian:
Colorado, Sixth Principal Meridian
Township:
1 N
Range:
80 W
Section:
18
Elevation:
7,377 feet (2,248.5 m)
Datum:
WGS 84
Tower Type:
NRG Tilt-Up
Tower Height:
20 m (65.6 ft)
Vane Offset (deg):
+214°
Direction Basis:
Magnetic North
Mag. Declination:
9° 45' E, changing by 7' W/yr
Wind Explorer S/N:
0666
Site No.:
4060

 CSU ALP Install Team (from left): Laura Ruff, Jacqueline Hess, Hunter Vassau, Kevin Gosselin, and Mike Kostrzewa (taking picture).

DATA DETAILS

November 6, 2010 - November 19, 2011:

The anemometer tower was installed on November 6, 2010 and removed on November 19, 2011. The site was located behind the Kremmling Mercantile on the west side of Kremmling. The tower was located on about 10 feet of fill and out into an open area near the wastewater treatment plant. Some construction equipment was located below the tower, but otherwise the site had clear access to the wind from all directions. The wind was expected to blow NW/SE up and down the valley.

All data was collected using an NRG #40 Calibrated Anemometer and NRG #200 Wind Vane mounted on a tilt-up tower located at a height of 20m. The certification for the anemometer is as follows:

NRG #40C Calibrated Anemometer
Model No.
1900
Serial No.
179500142907
Calibration Date
2/9/2010 3:17:53 p.m.
Slope
0.752 m/s per Hz
Offset
0.39 m/s

This equipment fed into an NRG Wind Explorer data logger. All data plugs were sent to the Colorado ALP at Colorado State University for analysis. The data plug files and text versions of these files are given below.

Raw Wind Data Files
NRG Data Plug Files
Txt Files
Highest
2 sec
Gust
m/s
Gust
Date/Time
Kremmling_4060_2010_1106_0125.A10 Kremmling_4060_2010_1106_0125.txt
32
1/17/2011 07:12
Kremmling_4060_2011_0125_0503.A11 Kremmling_4060_2011_0125_0503.txt
30
3/20/2011 02:17
Kremmling_4060_2011_0503_0903.A11 Kremmling_4060_2011_0503_0903.txt
34
6/29/2011 15:47
Kremmling_4060_2011_0903_1119.A11 Kremmling_4060_2011_0903_1119.txt
34
10/6/2011 10:56

It is important to note that these are the raw files without any compensation for offset. It is also important to note that the temperature was not recorded during this period.

Using this data, an analysis of the wind resource report was developed using Windographer 1.49. For this data an offset of +214° was applied to the wind vane data. 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 6 hours or more was deleted.
  2. Any wind direction data where the wind direction varied by less than 3 degrees over 6 hours was deleted

Windographer was then used to add in synthetic data to these intervals with suspect data. A summary report, the combined data files (with and without the validation analysis), and the Windographer files (with and without the validation analysis) are given below:

Final Wind Resource Summary

Highlights of the final wind resource assessment at this site are shown below:

Data Properties
Variable
Data Set Starts:
11/6/2010 15:30 MST
Height above ground (m)
20
Data Set Ends:
11/19/2011 10:40
10-min. mean wind speed (m/s)
3.090
Data Set Duration:
12 months
10-min median wind speed (m/s)
1.750
Length of Time Step:
10 minutes
10-min min. wind speed (m/s)
0.041
Elevation:
7,377 ft (2,248.5 m)
10-min max wind speed (m/s)
23.26
Mean air density (kg/m³):
0.981
10-min standard deviation (m/s)
3.118
Wind Power Coefficients
Weibull k
1.011
Power Density at 50m:
111 W/m²
Weibull c (m/s)
3.106
Wind Power Class:
1 (Poor)
Mean power density (W/m²)
80
Wind Shear Coefficients
Mean energy content (kWh/m²/yr)
698
Power Law Exponent:
0.126
Mean turbulence intensity
0.298
Surface Roughness:
0.01 m
Energy pattern factor
5.503
Roughness Class:
0.78
1-hr autocorrelation coefficient
0.777
Roughness Description:
Rough pasture
Diurnal pattern strength
0.554
Note: The wind power density and wind power class at 50m are projections of the data from 20m. A surface roughness of 0.01 meters was assumed for this projection. This is the surface roughness for a rough pasture. This value was then used this to calculate the roughness class and the power law exponent shown above.
Hour of peak wind speed
16
Total data elements
163,209
Missing data elements
2,537
Data recovery rate (%)
98.4

 

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

 

Wind Frequency Rose at 20 meters

 

Wind Energy Rose at 20 meters

 

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

 

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

 

Probability Distribution Function at 30m: Frequency (%) vs. Wind Speed (m/s)

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.

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
20
3.09
65.8
1.4
0.7
6,500
9.90
Bergey Excel-S
6.7
10
20
3.09
55.9
0.6
0.8
7,000
8.00
Bergey XL.1
2.5
1
20
3.09
37.7
1.9
0.1
1,000
11.2
Southwest Skystream 3.7
3.7
1.8
20
3.09
64.0
0.0
0.2
1,800
11.3
Southwest Whisper 500
4.5
3
20
3.09
65.8
1.6
0.4
3,200
12.1
Northern Power NW 100/21
21
100
37
3.34
62.1
0.0
9.5
83,100
9.50
Vestas V47 - 660 kW
47
660
65
3.58
61.9
0.2
71.5
626,700
10.8
GE 1.5s
70.5
1,500
80.5
3.68
65.2
1.7
146.3
1,281,700
9.80
Vestas V80 - 2.0 MW
80
2,000
100
3.78
64.5
0.8
239.3
2,096,100
12.0
GE 2.5xl
100
2,500
110
3.83
60.6
2.1
337.5
2,956,100
13.5

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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