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PLAVIC MESA - 3/15/2006 through 12/7/2011

LOCATION DETAILS
Latitude:
N 37.61080°
Longitude:
W 104.54933°
Township:
28 S
Range:
64 W
Section:
15
Elevation (ft.):
6,420
Tower Type:
NRG Tilt-Up
Tower Height:
30 m (98.4 ft)
Vane Offset (deg):
+59° (see below)
Direction Basis:
True North
Mag. Declination:
9° 31' E, changing by 7' W/yr
Site Number:
1237 and 0006
Wind Explorer S/N:
1237

DATA DETAILS

March 15, 2006 through March 6, 2007:

This anemometer tower was owned by the San Isabel Electric Association. It was installed by SIEA on March 15, 2006. Also known by the name Williams, the site is 1.2 miles east-southeast of the town of Walsenburg. The tower is located on Plavic Mesa, which is elevated 200 to 300 feet above the surrounding terrain. Ravines and canyons characterize the landscape to the east. Vegetation is primarily range land with small trees and brush growing in the ravines.

All data was eing collected using an NRG #40 Anemometer and NRG #200P Wind Vane mounted on a tilt-up tower located on the landowner's property at a height of 30m. This equipment fed into an NRG Wind Explorer data logger. Seven data plugs were sent into the Governor's Energy Office and then to the University of North Dakota 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
Plavic_Mesa_1237_2006_0727_1017.A06 Plavic_Mesa_1237_2006_0727_1017.txt
Plavic_Mesa_1237_2006_1017_0111.A06 Plavic_Mesa_1237_2006_1017_0111.txt
Plavic_Mesa_1237_2007_0111_0306.A07 Plavic_Mesa_1237_2007_0111_0306.txt
Plavic_Mesa_1237_2007_0306_0511.A07 Plavic_Mesa_1237_2007_0306_0511.txt

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.

Note that data from wind vane fails quality assurance beginning July 9, 2006. The wind vane apparently failed on this date.

Based on measurements taken by SIEA personnel during the tower installation, the wind vane was pointing at 41° 44' E from true north, so a data logger reading of 0° should actually be 41° 44' E. However, for this data, UND applied an offset of +315° to the wind vane data. The wind vane orientation will be confirmed again with onsite measurements. The data from June 28, 2006 through July 8, 2007 using a +315° offset and wind resource summary report for the period from March 15, 2006 through March 6, 2007 are available here:

March 6, 2007 through December 7, 2011:

CSU was chosen as the contractor for the program on September 14, 2007. The last data for the site was received from SIEA covering the period through December 7, 2011. The data collected September 2007 is given below::

Raw Wind Data Files
NRG Data Plug Files
Txt Files
Plavic_Mesa_1237_2007_0511_0927.A07 Plavic_Mesa_1237_2007_0511_0927.txt
Plavic_Mesa_1237_2007_0927_0314.txt
Plavic_Mesa_0006_2008_0314_0527.A08 Plavic_Mesa_0006_2008_0314_0527.txt
Plavic_Mesa_0006_2008_0527_0903.A08 Plavic_Mesa_0006_2008_0527_0903.txt
Plavic_Mesa_0006_2008_0903_1120.A08 Plavic_Mesa_0006_2008_0903_1120.txt
Plavic_Mesa_0006_2008_1120_0109.A08 Plavic_Mesa_0006_2008_1120_0109.txt
Plavic_Mesa_0006_2009_0109_0602.A09 Plavic_Mesa_0006_2009_0109_0602.txt
Plavic_Mesa_0006_2009_0602_1210.A09 Plavic_Mesa_0006_2009_0602_1210.txt
Plavic_Mesa_0006_2009_1210_0210.A09 Plavic_Mesa_0006_2009_1210_0210.txt
Plavic_Mesa_0006_2009_0210_0519.A10 Plavic_Mesa_0006_2009_0210_0519.txt
Plavic_Mesa_0006_2010_0519_0608.A10 Plavic_Mesa_0006_2010_0519_0608.txt
Plavic_Mesa_0006_2010_0608_0908.A10 Plavic_Mesa_0006_2010_0608_0908.txt
Plavic_Mesa_0006_2010_0908_1229.A10 Plavic_Mesa_0006_2010_0908_1229.txt
Plavic_Mesa_0006_2010_1229_0429.A10 Plavic_Mesa_0006_2010_1229_0429.txt
Plavic_Mesa_0006_2011_0429_0809.A11 Plavic_Mesa_0006_2011_0429_0809.txt
Plavic_Mesa_0006_2011_0809_1207.A11 Plavic_Mesa_0006_2011_0809_1207.txt

 

Gust Summary
Period Start
Period End
Highest
2 sec
Gust
mph
Gust
Date/Time
3/15/2006
4/5/2006
74.40
3/26/2006 11:19
4/5/2006
6/8/2006
82.10
4/15/2006 08:27
6/8/2006
7/27/2006
65.80
6/15/2006 12:55
7/27/2006
10/17/2006
76.10
9/20/2006 17:40
10/17/2006
1/11/2007
66.70
11/28/2006 10:10
1/11/2007
3/6/2007
68.40
2/27/2007 15:40
3/6/2007
5/11/2007
80.30
4/19/2007 5:33
5/11/2007
9/27/2007
33.20
6/06/2007 18:56
9/27/2007
3/14/2008
87.20
1/5/2008 10:32
3/14/2008
5/27/2008
64.90
4/15/2008 23:08
5/27/2008
9/3/2008
70.90
6/21/2008 18:51
9/3/2008
11/20/2008
59.90
11/04/2008 11:08
11/20/2008
1/9/2009
80.30
12/22/2008 13:49
1/9/2009
6/2/2009
70.90
2/09/2009 10:35
6/2/2009
12/10/2009
64.09
7/26/2009 15:37
12/10/2009
2/10/2010
56.39
1/22/2010 5:35
2/10/2010
5/19/2010
72.64
4/28/2010 22:42
5/19/2010
6/8/2010
72.64
6/06/2010 16:25
6/8/2010
9/8/2010
55.53
6/16/2010 22:20
9/8/2010
12/29/2010
91.46
12/20/2010 04:45
12/29/2010
4/29/2011
77.78
4/3/2011 10:33
4/29/2011
8/9/2011
80.34
6/5/2011 12:41
8/9/2011
12/7/2011
83.76
11/19/2011 8:39

Again, it is important to note that these are the raw files without any compensation for offset or temperature.

Using the raw data from all data plugs for this site, an analysis of the wind resource report was developed using Windographer 1.49. For this data, an offset of +59° was applied to all of the wind vane data collected to date, based on site measurements taken on February 10, 2010. For this report, a data validation analysis was performed for the period from March 15, 2006 through May 19, 2010. This data was filtered as follows:

  1. Any wind speed data where the wind speed was less than 1 mph for 5 hours or more was deleted.
  2. Any wind direction data where the direction changed less than 3° over 6 hours was deleted.

Windographer was then used to add in synthetic data to these intervals with suspect data.

In addition, the wind direction data was removed for the period from 17:40 on 7/9/2006 when the wind vane sensor failed through 9:40 on 6/11/2008 when the sensor was replaced.

Similarly, the wind speed sensor was apparently hit by a lighting strike on July 26, 2009. So the wind speed and standard deviation data was removed for the period from 15:40 on 7/26/2009 through January 21, 2010 at 12:40 when the wind speed sensor was replaced.

The combined data files and the Windographer files are given below in one of three ways: the combined raw data, the combined raw data with the bad wind direction data removed from 7/9/2006 through 6/11/2008 and the bad wind speed data from 7/26/2009 through 1/21/2010; and the combined raw data with the bad sensor data removed and validated data offset +59°as follows:

Final Wind Resource Summary

As of November 7, 2012, no more data is expected from this site and the anemometer tower will be removed from the site shortly. Highlights of the entire wind resource at this site through December 7, 2011 are shown below:

Data Properties
Variable
Data Set Starts:
3/15/2006 14:50
Height above ground (m)
30
Data Set Ends:
12/7/2011 14:30
Mean wind speed (mph)
14.853
Data Set Duration:
5.8 years
Median wind speed (mph)
13.100
Length of Time Step:
10 minutes
Min wind speed (mph)
0.400
Elevation (ft.):
6,420
Max wind speed (mph)
72.00
Mean air density (kg/m³):
1.012
Mean power density (W/m²)
340
Wind Power Coefficients
Mean energy content (kWh/m²/yr)
2,977
Power Density at 50m:
416 W/m²
Energy pattern factor
2.296
Wind Power Class:
4 (Good)
Weibull k
1.741
Wind Shear Coefficients
Weibull c (mph)
16.696
Power Law Exponent:
0.121
1-hr autocorrelation coefficient
0.826
Surface Roughness:
0.01 m
Diurnal pattern strength
0.065
Roughness Class:
0.780
Hour of peak wind speed
19
Roughness Description:
Rough Pasture
Mean turbulence intensity
0.1506
Note: The wind power density and wind power class at 50m are projections of the data from 30m. A surface roughness of 0.01 meters was assumed for this projection. This is equal to that of a rough pasture. This value was then used to calculate the roughness class and the power law exponent shown above.
Standard deviation (mph)
8.899
Total data elements
904,170
Suspect/missing elements
152,412
Data completeness (%)
83.1

 

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

 

Vertical Wind Shear, Height (m) vs Mean Wind Speed (mph)

 

Seasonal Wind Speed Profile, Monthly Mean Wind Speed (mph) vs. Month

 

Boxplot - Seasonal Wind Speed Profile, Monthly Mean Wind Speed (mph) vs. Month

Daily Wind Speed Profile, Hourly Mean Wind Speed (mph) vs. Hour of the Day

 

Wind Frequency Rose at 30m

 

Wind Energy Rose at 30m

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 14.85 19.7 8.2 2.3 20,000 30.4
Bergey Excel-S
6.7
10
30 14.85 9.6 5.1 2.6 22,900 26.1
Bergey XL.1
2.5
1
30 14.85 3.4 12.0 0.3 3,100 35.0
Southwest Skystream 3.7
3.7
1.8
30 14.85 17.4 0.0 0.6 5,200 32.7
Southwest Whisper 500
4.5
3
30 14.85 19.4 10.0 1.1 9,500 36.2
Northern Power NW 100/21
20
100
37 15.23 16.6 0.0 26.3 230,000 26.3
Vestas V47 - 660 kW
47
660
65 16.31 16.3 2.0 199.1 1,744,400 30.2
GE 1.5s
70.5
1,500
80.5 16.74 20.8 9.5 423.3 3,708,500 28.2
Vestas V80 - 2.0 MW
80
2,000
100 17.18 19.9 5.6 651.8 5,709,700 32.6
GE 2.5xl
100
2,500
110 17.38 15.0 10.8 894.4 7,834,500 35.8

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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