WINData installs on-site permanent met towers and off site sensor arrays for use in wind forecasting, plant operations and energy scheduling. Combining real met data from remote locations around the wind plant allows operators to get a critical preview of the weather that is heading toward the farm. This allows them to participate more effectively in their respective markets and also reduce the impact of short term forecast error and unexpected ramp event on the production of power at the plant.
WINData’s real-time data is collected and stored alongside the plant’s SCADA data in an OSIsoft PI server and can be queried and used in more sophisticated RUC forecasting models, thus insuring greater accuracy and advanced warning about pending weather patterns.
WINData’s expertise and high fidelity data, have been employed since 2007 to help wind plant operations become more of an exact science that can be optimized for each plant’s site characteristics. Proper on and off-site sensor array design, combines with state of the art forecast models to help wind assets perform progressively closer to their peak potential and gives the best return on investment possible.
WINData conducts wind resource assessments to determine the meteorological and climactic characteristics of a site and from this analysis can estimate the potential power production and the impact to the project’s bottom line.
WINData provides met program design, data collection, data summaries, wind power output summaries, wind site analysis and professional meteorological certified reporting as per client requirements. Preliminarily, WINData can often determine a site’s seasonality and wind quality through a combination of a site visit, maps, and any existing site or regional data.
WINData site analysis is conducted using wind speed, wind direction, temperature, pressure and regional air density data gathered at or near the site’s location. Typically, wind flows vary over the complex terrain in a project area and it is crucial to have an experienced analyst conduct a topographically appropriate site study.
WINData wind site assessments provide project owners and designers with:
The average wind speed over all the turbine locations for the project
The maximum mean wind speed at the turbine location
Mean Wind Speed
Weibull Parameters and
Other factors examined to determine the environmental conditions at the site include:
Annual average ambient temperature
Extreme minimum ambient temperature
Extreme maximum ambient temperature
Days of temperature below –17° C
Days of temperature above 30° C
Average relative humidity
Height above sea level
The Weibull scale parameter and mean wind speed are used to determine the IEC Classification of the site and the subsequent classes of turbines that are suitable. The lower Weibull shape parameter indicates a large mean wind speed. The air density at the site is lower than at sea level, which will reduce the fatigue caused by the large mean wind speed.
If the temperatures on-site are very low, Low Temperature Option package are required from the turbine manufacturer and will be necessary for the best performance of the wind turbines at the project site. WINData uses the met data analysis to determine the size, number and manufacturer of wind turbines that will be used.
For each turbine, the following information is considered:
Tower type and proposed hub height
Level of certification achieved
IEC design wind class (I, II or III)
Summary of performance guarantees and warranty provided
WINData can lead the process for final wind turbine selection and generate turbine recommendations for the project site. As the turbine selection process proceeds, WINData can go out to the list the potential turbine vendors to determine the availability and delivery schedule and other aspect of the turbine supply process, and further, obtain firm pricing bids and negotiate TSA’s and MRO’s for equipment and for warranty, service, and maintenance agreements with the manufacturer.