WINData provides services to facilitate site permitting and avian and wildlife impact mitigation in compliance with United States Fish and Wildlife Service (“USFWS“) guidelines with regard to impact issues. Reduction of risk begins with the initial site selection screening. Existing information is used to select sites that appear, based on a variety of available information,to be environmentally benign and have lower levels of avian and wildlife use. Our specialists determine species known to occur in the area, that may be specifically listed by the USFWS as threatened or as a “species of special concern”.
Once a site is chosen, additional site-specific studies can be conducted to determine whether portions of the site have relatively higher or lower avian use levels. That information is used in the siting of individual turbine locations. The reduction of avian risk is an extremely site-specific issue that is frequently referred to during the site design process.
In addition to reducing avian risk through siting decisions, the selection of technology and careful planning to minimize avian perching opportunities on wind farm equipment are essential. The use of tubular, rather than less-expensive lattice, turbine towers; the use of perch-free smooth nacelles; the undergrounding of power collection and communication cables; the use of tall towers and slowly rotating turbine blades all contribute to reducing avian risk on the site.
Turbines are set back from rim edges approximately 50 meters to avoid a zone of raptor use as well as of the rim edge. Similarly, based on its development experience, WINData uses tubular (rather than less expensive lattice) towers and underground power collection cables, in its plant layouts, to avoid creating avian perching opportunities.
Finally, WINData plant designs use large capacity wind turbines to reduce the number of turbines and increase the spacing between turbines and rows of turbines. The slower rotational speed for blades of the large turbines and the tall towers that raised the blades high above the ground may be particularly important factors in reducing avian risk.
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.
As a wind energy development company, WINData has focused for over 22 years on wind energy site prospecting throughout the US. The company creates value by conducting detailed site identification and resource analysis, securing development rights and demonstrating project viability.
WINData’s wind site prospecting personnel have long term expertise in desktop level studies, site topographical explorations and met program design of prospective windy real estate parcels. WINData provides project management for installation of met towers and instrumentation of a prospect site.
As part of the prospecting process, WINData experts explore the complexities or hidden attributes of the site to determine early critical path issues. WINData works with local entities, future power off-takers, and development entities from the outset to streamline the development process and build appropriate levels of awareness about a site’s potential.
Once site prospect is leased, met towers are installed and data is flowing into WINData’s servers, we continuously monitor and analyze data as a precursor to a full site assessment study which usually occurs after a year or more of data is collected.