COLORADO ANEMOMETER LOAN PROGRAM
 

PROGRAM INFORMATION

Frequently Asked Questions
Colorado Wind Resource Maps
ALP Sites and Data
Small Wind Electric Systems: A Colorado Consumer's Guide
Small Wind Applications Guide Video
Professional Anemometry
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Selection Criteria
Lessee Responsibilities
Site Layout and Anchors
Tower Safety
Data Plug Replacement
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POWER Wind Data Description

The Plains Organization For Wind Energy Resources (POWER) program through the Energy & Environmental Research Center at the University of North Dakota processed the raw wind data for the Colorado ALP sites until June 30, 2007. The data files generated by the POWER program took the following format:

Description of Field Names
The first two letters indicate the sensor type. There are three possible sensors:

  1. WS - wind speed sensor
  2. WD - wind direction sensor
  3. TT - air temperature sensor

The numbers that follow the sensor identifier indicate the height (in meters) above ground of the sensor. If any letters follow the height, they will signify the position of the sensor relative to the tower. Eight possible positions exist for each sensor.

  • N - north
  • NE - northeast
  • E - east
  • SE - southeast
  • S - south
  • SW - southwest
  • W - west
  • NW - northwest

For example, WS10NW indicates that the sensor measures wind speed at a height 10 meters above ground, and it is located on the northwest side of the tower.

Fields that end with "FLAG" or "SD" refer to Data Quality or Standard Deviations, respectively.

Data quality is determined through both automated and manual analyses. Specific values are used to indicate the condition of the data. The condition of each datum may change over time as new information about the datum is discovered.

Value
Description
0
Good
-1
Failed Range Test
-2
Suspect
-3
Bad Sensor
-4
Icing Event
-5
Tower Shadowing
-6
Failed Voltage Test
-7
Missing Data
-8
Speed less than Wind Speed at Lower Height

Standard Deviation Fields
Standard deviation is used as a measure of dispersion in a collection of data. A small standard deviation indicates that the data are closely correlated. A large standard deviation means that the data are loosely correlated.


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Last updated: June 2009
Email questions & comments to: michael@engr.colostate.edu
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