Posts Tagged ‘equipment’

Data Collection Equipment

NRG 200P NRG MAX 40

Data Collection Equipment

WINData develops specifications and sources and provides wind instrumentation and data collection equipment.The following brands of instrumentation are some of the available equipment that can be deployed for wind development projects.

Standard Equipment:

Premium Equipment:

Depending on the scope, budget and requirements of the project met program, WINData may recommend industry-standard NRG equipment, premium Class-a instruments from one of our vendors, or our proprietary WINDataNOW! high fidelity meteorological systems.

WINData’s equipment and analysis capabilities bring investors the confidence and bankable data that is required to develop wind energy sites!

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Wind Resource Assessment

Wind resource map of site

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
  • Turbulence Intensity

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:

  • Power Curve
  • Technical specifications
  • Tower type and proposed hub height
  • Design life
  • 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.

Wind Plant Design

WINData uses wind resource assessment, site topographical conditions, site and county permitting requirements, military clearance and FAA permits to layout wind turbine arrays to optimize output of a wind plant design. WINData has designed many wind plants has extensive experienced modeling wind plant output.

WINData also has extensive experience in the following areas:

  1. Utility and energy business technical understanding
  2.  Identify and spearhead development opportunities
  3. Project scoping, development strategy and bid formulation
  4. Technical team leader and project manager
  5. Wind resource assessment and meteorological science
  6. Project design and modeling
  7. Conduct meetings with land owners, communities, Utilities, stakeholders, governmental agencies and tribes
  8. Contract and agreement formulation, negotiation and execution
  9. Technical writing

The Technology

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.

WINDataNOW

THE WINDATANOW HIGH FIDELITY MET TOWER DATA SYSTEM

Renewable energy, responsible natural resource management, and energy independence have become hot topics in politics, the marketplace, and on Main Street. Wind energy has long been the cornerstone of the renewable energy movement, and is easily the most visible and tangible of all the emerging renewable energy sources.While the prospect and promise of wind energy is attractive, the realities of effective energy production lie beneath the purview of the public’s eye. To help make wind energy a more viable component of the United States’ energy portfolio, the current administration has created grant programs to help spur innovation across a wide spectrum of wind energy topics. These include prospecting, equipment and farm design, forecasting, and energy management.

WINDataNOW Technologies, LLC (“WINDataNOW”) believes that significant opportunity exists for improvements in the operation of existing wind farms. Through the application of modern instrumentation and data collection techniques,

WINDataNOW believes that significant design and operating advantage can be achieved by developing a more rigorous understanding of how a wind resource behaves. From selecting the right location to maximizing the power output and stability of the grid – a detailed understanding of a wind resource and return significant efficiency and equipment availability gains in addition to insulating an operating company from the inherent penalty risks associated with bidding into today’s power markets.

Customer companies use WINDataNOW’s technology to get the meteorological data they need to make critical operating and resource assessment decisions with confidence. Applications of WINDataNOW’s technology are far reaching and include:
    • Optimal site selection and characterization
    • Using detailed meteorological data for reduction in forecast uncertainty to improve scheduling, planning, and operations
    • Understanding the wind turbulence profile of the site
    • Creating the ideal wind farm design for a particular site
WINDataNOW’s technology leverages the significant advantage of being able to fit in-place with existing systems and works right alongside all the usual operating information from industry standard SCADA systems. Using WINDataNOW’s technology, operating companies gain unparalleled insight into their operations on a minute by minute basis and can more predictably participate in their utility market.
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