PROGRAM INFORMATION

PINGREE PARK - 8/13/2010 to 10/19/2012

CSU ALP Install Team (from left): Kevin Gosselin, Mark Goudreault, Eric Rasbach, Jake Renquist, Sarah Bass, Laura Ruff, John Purcell, and Mike Kostrzewa (taking picture). Not shown: Daniel Fink, Todd MacDonald, and Hunter Vassau

DATA DETAILS

August 13, 2010 to October 19, 2012:

The anemometer tower was installed on August 13, 2010. The site is located on CSU's Pingree Park campus, on a small ridge above and across the road from the ropes course, near the entrance to the campus. This spot appears to be one of the best spots in the valley and the ridge appears to be an ideal location to install a wind turbine. The terrain around the site contains shrub oaks, small aspens, small pines and a few larger trees nearby. Two power transmission lines lie within 150 feet of the site.

Data is collected using three (3) NRG #40C Calibrated Anemometers and one (1) NRG #200P Wind Vane, as follows:

• Anemometers
  1. 33.8 m (111 feet) heading 200° on an NRG 60" standard boom
  2. 33.8 m (111 feet) heading 290° on an NRG 60" standard boom
  3. 20.0 m (65.6 feet) heading 230° on an NRG 60" standard boom
• Wind Vane
  1. 34.7 m (114 feet) heading 250° on an NRG 60" standard boom with the null point facing toward the tower

There is also a temperature sensor at a height of 1.8 m (6 feet) on a 6" boom.

All sensors feed into an NRG Symphonie data logger. The certifications for the anemometers are as follows:

The data logger generated wind reports for each day. Using the Symphonie Data Retriever software, each day's data was 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:

It is important to note that the wind direction data included in these files has already been adjusted for offset at the data logger.

From this data, an analysis of the wind resource report was developed for entire data collection period using Windographer 2.4.6. No offset was applied to the wind vane data as none was needed. Since the data set contains data for two or more wind speed sensors at different heights above the ground, Windographer considered the wind shear relationship between different wind speed sensors to synthesize missing data for those wind speed sensors. A best fit using the power law profile was chosen to synthesize the data. Once the wind shear relation was chosen, a daily influence on the wind shear profile was considered so that in each time step where the wind speed is known at one height but not at a different height, Windographer estimated the unknown wind speed based on the best-fit wind shear profile for the appropriate hour of the day.

Using this data, an analysis of the wind resource report was developed using Windographer. For this analysis, a data quality analysis was performed on the data. This data was flagged for icing in two ways:

1. Any wind speed data where the wind speed was less than 1 m/s for 3 hours or more when the temperature was less than 2°C was deleted.
2. Any wind direction data where the wind direction varied by less than 3 degrees over 3 hours when the temperature was less than 2°C 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) are given below:

• Pingree_Park_4050_2010_0814_to_2012_1019_Summary_Report.pdf
• Pingree_Park_4050_2010_0814_to_2012_1019_without_data_validation.windog
• Pingree_Park_4050_2010_0814_to_2012_1019_without_data_validation.txt
• Pingree_Park_4050_2010_0814_to_2012_1019_with_data_validation_flagged.windog
• Pingree_Park_4050_2010_0814_to_2012_1019_with_data_validation_flagged.txt

Interim Wind Resource Summary

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

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.

Keep in mind too that listing a particular turbine doesn't imply an endorsement - not does it imply that installing a particular turbine model is feasible or recommended for a particular site. For consistency, the larger turbines are included even at sites that where they may not be practical so that one can compare the relative production of different sites.

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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