COLORADO ANEMOMETER LOAN PROGRAM
 

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Summit County SCRAP- 7/28/2008 through 4/13/2010

LOCATION DETAILS
Latitude:
N 39° 36' 24.830 "
Longitude:
W 105° 59' 57.600 "
Township:
Near 5S
Range:
Near 77 W
Section:
None
Elevation (ft.):
9,175
Tower Type:
NRG Tilt-Up
Tower Height:
30 m (98.4 ft)
Vane Offset (deg):
320°
Direction Basis:
Mag. North
Mag. Declination:
9° 46' E, changing by 8' W/yr
Site Number:
4711
Symphonie S/N:
4711

DATA DETAILS

July 28, 2008 through April 13, 2010:

The anemometer tower was installed on July 28, 2008 by Innovative Energy at the Summit county landfill. The tower was removed on April 13, 2010. The landill is just east of Dillon Reservoir. The surrounding terrain can be described as hilly with a surface roughness similar to a rough pasture, though the landill sits in a valley that runs NW/SE until it opens up to the west onto Dillon Reservoir.

Wind data is collected using two (2) NRG #40 Anemometers and one (1) NRG #200P Wind Vane, as follows:

  • Anemometers
    1. 30 meters facing East
    2. 30 meter s facing West
  • Wind Vane
    1. 30 meters facing 320° (with null point facing out)

There is also a temperature sensor at a height of about 5 meters.

All sensors feed into an NRG Symphonie data logger. The data logger generates wind reports for each day and writes the data to a memory card. This card is periodically replaced by Innovative Energy and the daily data files are sent to the Colorado ALP at Colorado State University for analysis. Using the Symphonie Data Retriever software, each day's data is 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 (these are large files).

Raw Wind Data Files
NRG Data Plug Files
Txt Files
Summit_SCRAP_4711_2008_0728_to_2010_0413_Data.zip Summit_SCRAP_4711_2008_0728_to_2010_0413_SDR.txt

It is important to note that these are the raw files without any compensation for offset. Also, note that no data is available for the period from 9/15/2008 through 10/13/2008.

Using this data, an analysis of the wind resource report was developed using Windographer 1.45. For this data an offset of +320° was applied to the wind vane data. For this report, a data quality analysis was performed on the data. This data was filtered two ways:

  1. Any wind speed data (from either wind speed sensor) where the wind speed was less than 1 mph at a temperature less than 35°F for 3 hours or more was deleted.
  2. Any wind direction data where the wind direction varied by less than 3 degrees over 3 hours at a temperature less than 35°F for 3 hours or more was deleted.

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

Final Wind Resource Summary

The anemometer tower was removed from the site on April 13, 2010. Highlights of the wind resource at this site for the entire monitoring period are shown below:

Data Properties
Data Set Starts:
7/28/2008 0:00 MDT
Data Set Ends:
4/13/2010 09:00
Data Set Duration:
21 months
Length of Time Step:
10 minutes
Elevation (ft.):
9,175
Mean air density (kg/m³):
0.914
Wind Power Coefficients
Power Density at 50m:
89 W/m²
Wind Power Class:
1 (Poor)
Wind Shear Coefficients
Power Law Exponent:
0.141
Surface Roughness:
0.0881 m
Roughness Class:
0.98
Roughness Description:
Fallow field
Note: The wind power density and wind power class at 50m are projections of the data from the "A" anemometer at 30m. A surface roughness of 0.0106 meters was assumed for this projection. This is equal to that of a fallow field. This value was then used this to calculate the roughness class and the power law exponent shown above.

 

Sensor Name
WS30_A
WS30_B
Height above ground
98 ft (30m)
98 ft (30m)
Mean wind speed (mph)
8.304 8.254
Median wind speed (mph)
7.200 7.200
Standard deviation (mph)
6.1807
5.9435
Min wind speed (mph)
0.278 0.278
Max wind speed (mph)
41.2 39.2
Mean power density (W/m²)
69 65
Mean energy content (kWh/m²/yr)
604 566
Energy pattern factor
2.972 2.833
Weibull k
1.305 1.370
Weibull c (mph)
8.991 9.023
1-hr autocorrelation coefficient
0.722 0.718
Diurnal pattern strength
0.415 0.394
Hour of peak wind speed
16
16
Mean turbulence intensity
0.3023
0.2959

Total data elements

1,438,560

Suspect/missing elements

68,881

Data completeness (%)

95.2

 

Probability Distribution Function for the 30m Anemometer - A

 

Probability Distribution Function for the 30m Anemometer - B

 

Estimated Wind Shear Profile

Wind Rose at 38m

Seasonal Wind Speed Profile

Daily Wind Speed Profile

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
mph
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
30 8.28 50.92 0.41 0.7 6,100 9.3
Bergey Excel-S
6.7
10
30 8.28 37.84 0.12 0.7 6,500 7.5
Bergey XL.1
2.5
1
30 8.28 22.58 0.58 0.1 900 10.8
Southwest Skystream 3.7
3.7
1.8
30 8.28 47.50 0 0.2 1,800 11.6
Southwest Whisper 500
4.5
3
30 8.28 50.90 0.49 0.4 3,300 12.4
Northern Power NW 100/21
20
100
37 8.53 46.75 0 8.7 75,800 8.7
Vestas V47 - 660 kW
47
660
65 9.27 47.47 0.01 66.2 579,800 10.0
GE 1.5s
70.5
1,500
80.5 9.58 52.23 0.67 128.5 1,125,500 8.6
Vestas V80 - 2.0 MW
80
2,000
100 9.90 51.27 0.33 239.9 2,101,400 12.0
GE 2.5xl
100
2,500
110 10.05 46.15 1.08 347.9 3,047,200 13.9

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
Email questions & comments to: michael@engr.colostate.edu
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