PROGRAM INFORMATION

LIVERMORE

9/13/1996 through 9/20/1998

DATA DETAILS

April 30, 1996 through April 30, 1998:

This site was part of the Utility Wind Resource Assessment Program (UWRAP). Data provided by the Utility Wind Interest Group in cooperation with AWS Truewind, National Renewable Energy Laboratory, Electrotek Concepts, and Xcel Energy - Public Service Company of Colorado. .

The collected data includes the following data fields:

• Wind speed, standard deviation of the wind speed, and data quality flag for an anemometer at 10m height and facing NW
• Wind speed, standard deviation of the wind speed, and data quality flag for an anemometer at 25m height and facing NW
• Wind speed, standard deviation of the wind speed, and data quality flag for an anemometer at 40m height
• Wind direction, standard deviation of the wind direction, and data quality flag for a wind vane at 25m height
• Wind direction, standard deviation of the wind direction, and data quality flag for a wind vane at 40m height
• Temperature from a sensor mounted at a height of 4m

Wind speed data at 40 meters represent a combination of data from primary and redundant sensors.

Only a text data file is available from this site. You can find this file here.

The file includes suspect data and when that data occurs, the value is generally a negative number. There is also a flag filed that indicates these suspect data values. For a version of this wind data with blanks rather than negative numbers, you can download here.

CSU was chosen as the contractor for the program on September 14, 2007. Using the raw data from all data plugs for this site, an analysis of the wind resource report was developed using Windographer 1.21. No data quality analysis was performed for this data other than what was available from the flag data fields included in the data. The suspect data was first removed from the collected data. Windographer was then used to add in synthetic data to these intervals with suspect data. The Windographer files (with blanks for the suspect data and with the blanks filled with synthetic data) are given below:

• Livermore_1996_0913_to_1998_0919_with_blanks.windog
• Livermore_1996_0913_to_1998_0919_with_filled_blanks.windog
• Livermore_1996_0913_to_1998_0919_with_filled_blanks.txt

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

Probability Distribution Function for the 40m Anemometer   Probability Distribution Function for the 25m W Anemometer Probability Distribution Function for the 10m W Anemometer

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.

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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