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FirstLook Professional Wind Report

FirstLook Professional Wind Report

Designed for: Landowner, Developer & Engineer/Consultant
For pricing and purchase details:
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Product Description

Primary Uses

  • Utility-scale wind prospecting
  • Community and utility-scale met tower siting
  • Portfolio site comparison
  • Initial project feasibility
  • Power capacity estimates
  • Residential and commercial scale site assessment and ROI analysis

To really have confidence in the value of a potential site, you need to understand both the wind and power behavior of your resource and how it will perform throughout the year.

FirstLook Wind Professional Map Sample

Wind speed, air density, diameter of the rotor, and efficiencies of the turbine and electrical system affect the total amount of electricity that can be generated by a wind turbine. A good wind resource requires strong winds during times when the electricity demand or the electricity price is highest.

With easily interpreted figures and tables for annual, monthly, and diurnal variability and a 1-year time-series data file, the FirstLook Professional Report is our top-tier prospecting report. It offers more in-depth information about your wind resource and power output potential, providing insight on when to expect the highest levels of energy generation. In addition, the data file enables the user to perform further power curve or statistical analysis.

In addition to providing you with the information you need to make informed decisions, our reports offer a consistent approach to wind prospecting. When you are looking at multiple locations, how do you know that you are comparing apples to apples and oranges to oranges? With 3TIER prospecting reports you have a seamless global dataset and a standardized set of reports, so you have a clear picture of the risks for every potential site in your portfolio.

Technical Overview

FirstLook Wind Monthly Wind Roses Sample

Figure 1. Monthly Wind Roses

FirstLook Wind Annual Average Diurnal Variability Sample

Figure 2. Annual Average Diurnal Variability

FirstLook Wind Plot of Annual Average Diurnal Variability Sample

Figure 3. Plot of Annual Average Diurnal Variability

Product Features

Wind Information
  • Map of the area surrounding your location
  • Plot of Monthly Variability (with error bars)
  • Annual Average Weibull Histogram Plot
  • Annual Wind Rose
  • Monthly Wind Roses
  • Plot of Annual Average Diurnal Variability (with error bars)
  • Plots of Monthly Average Diurnal Variability
Power Information
  • Plot of Monthly Power Variability*
  • Annual Average Power Histogram (power capacity)
  • Annual Power Rose
  • Monthly Power Roses
  • Plot of Annual Average Diurnal Variability
FirstLook CSV (comma-separated value) Data File
  • 1 year of data randomized from a 10-year time-series to be used for any additional power curve or statistical analysis by the user

Technical Highlights

  • Global Coverage
  • Spatial resolution of approximately 5 km
  • Mesoscale 10-year WRF (Weather Research and Forecasting) model run
  • Validated by 4000 NCEP-ADP network stations worldwide
  • Model constrained by high-quality inputs from the NCAR/NCEP reanalysis

FirstLook Report Comparison

Standard Report Professional Report
Map of the surrounding area X X
Annual average wind speed (with error bars) X X
Monthly average wind speed variability (with error bars) X X
Annual average wind speed weibull histogram X X
Annual average diurnal wind speed variability (with error bars) X X
Monthly average diurnal wind speed variability X
Annual wind rose X X
Monthly wind roses X
Monthly average power variability* X X
Annual average power histogram (power capacity) X X
Annual power rose X X
Monthly power roses X
Annual average diurnal power variability X X
CSV (Comma-separated value) data file X

Validation Results

The difference between annual mean wind speed data provided by FirstLook Reports and actual on-site measurements from NCAR/NCEP reanalysis is less than 0.5 m/s at 50% of the observational stations and less than 1 m/s at 78% of the stations. The overall bias is +0.05 m/s relative to NCEP-ADP observations, and the RMSE (Root Mean Square Error) is 0.93 m/s. Find our validation papers here.

* Monthly Power Variability estimates are based upon a turbine at a specified hub height. Turbine models used are GE 1.5 SLE, Vestas, and Bergey XL1.

If you are unfamiliar with the technical terminology on this page, please visit our Glossary for more information.

Geographic Availability

Available for All Regions
Product Available
Coming Soon

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