WINData’s “WINDataNOW! Technology” was developed under research support from John Deere Renewables, NaturEner and the US Department of Energy. WINDataNOW! is a 4G high-fidelity real-time met data technology leveraging OSIsoft PI for use by wind energy integrators, forecasters, developers and plant and system operators.
WINDataNOW’s core technology takes advantage of many industry standard pieces of equipment and combines them to deliver real-time meteorological data to users. Various meteorological tower configurations and instrument combinations are possible and vary by individual site characteristic and customer specifications. WINDataNOW can even add non- standard sensors as required to further characterize the wind flows of a prospective site.
While today’s site assessment technology relies on 10 minute average wind speed readings, the WINDataNOW technology records a much higher fidelity data set (usually second-by-second data). Legacy systems paint an even more incomplete picture of a site’s potential operations once that 10 minute average data is rolled into hourly, daily or monthly averages.
WINDataNOW’s technology gives users the flexibility to use their high fidelity data in any manner necessary. They can easily assess a site’s behavior and dynamics during seasonal, diurnal, or synoptic variations over long periods of time without sacrificing their source data quality.
In order to deliver higher fidelity data to customers, WINDataNOW uses quality instrumentation that can deliver a more exact representation of the wind speed information to the WINDataNOW data acquisition system. The system is able to communicate wirelessly to a central server and deliver near-real time data to customers.
Because WINDataNOW uses OSIsoft’s industry leading PI System as its data repository, most utility and operating companies can use their live met data at its full fidelity just like any other data source that feeds their on-site PI System. This enables wind experts to interact with their data in familiar tools such as Excel, or PI ProcessBook. Met data can also feed directly into forecasting provider models and can be used to support rapid refresh.
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.