ALBANY • BARCELONA • BANGALORE
                                                                              AUGUST 2010

...
Outline

• Site Screening with GIS Tools
       – Finding energetic sites and assessing competitive advantage
• Map-based ...
Locating Profitable and Energetic Sites:
                           High-Resolution Wind Maps and Data




©2010 AWS Truep...
Locating Profitable and Energetic Wind Sites
  High-Resolution Wind Maps and Data
  Basic GIS Analysis Examples
  •    Ran...
Locating Profitable and
                           Energetic Sites:
                           GIS-based Site Screening


...
Locating Profitable and Energetic Wind Sites
  Site Screening Application and Inputs:
  •    Modeled wind speed directions...
Locating Profitable and Energetic Wind Sites
  Site Screening Application Results




©2010 AWS Truepower, LLC
Tools for Getting the Most Out of Your Project Site

  Public and private data is very useful in identifying potential obs...
Locating Profitable and
                           Energetic Sites:
                           Competitive Analysis



©20...
Locating Profitable and Energetic Wind Sites
Existing and Proposed Wind Farm Locations for Competitive Analysis
•    AWEA ...
Assessing the Energy Potential of
                           Prospective Sites:
                           Map-Based Energ...
Assessing Energy Potential with Modeled Data
  Case Study: Map-Based Energy Assessments

  What: A method of estimating a ...
Assessing the Energy Potential of Prospective Sites with Maps

  Case Study: Map-Based Energy Assessments

  Method
  1.  ...
Assessing the Energy Potential of Prospective Sites with Maps

  Case Study: Map-Based Energy Assessments

  Method Perfor...
Assessing the Energy Potential of Prospective Sites with Maps

  Case Study: Map-Based Energy Assessments
  •    Midwest, ...
Assessing the Energy Potential of Prospective Sites with Maps

  Case Study: Map-Based Energy Assessments
  •    Midwest, ...
Tips for Getting the Most from
                           Your Project Site:
                           The Science and Ar...
Met Tower Siting: Understanding Local Wind Patterns




    Wind flow is nearly perpendicular to
    the ridgeline a large...
Met Tower Siting: Understanding Local Wind Patterns




©2010 AWS Truepower, LLC
Met Tower Siting with openWind® Enterprise and PDGs

  •    openWind’s Modeling Uncertainty Module, along with a Project D...
Met Tower Siting with openWind® Enterprise and PDGs
           Project area with seven existing masts




©2010 AWS Truepo...
Met Tower Siting with openWind® Enterprise and PDGs
           Wind speeds highest along feature and to the east




©2010...
Met Tower Siting with openWind® Enterprise and PDGs
           openWind can help suggest new mast locations based on exist...
Met Tower Siting with openWind® Enterprise and PDGs
           openWind can help suggest new mast locations based on exist...
Met Tower Siting with openWind® Enterprise and PDGs
           Certain masts are most representative of certain areas of t...
Met Tower Siting with openWind® Enterprise and PDGs
           The mast that is most representative of any given spot can ...
Met Tower Siting with openWind® Enterprise and PDGs
           openWind chooses a new mast location in the area of highest...
AWS Truepower Solutions:
                           Which solution is right for you?



©2010 AWS Truepower, LLC
Goal                          Challenge(s)                   AWST Solution
  Identify multiple promising   Limited in-hous...
ALBANY • BARCELONA • BANGALORE                                      August 2010




                                      ...
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Location Matters Webinar Slides

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Until recently, resource assessment for wind energy projects has heavily relied on the standard approach employing meteorological towers to establish historical climate conditions. This webinar concentrates on how highly accurate modeled wind resource data can speed up preconstruction activities while significantly reducing development costs.
Members of the AWS Truepower Information Services team discuss how virtual met masts (VMMs) and reports based on high-resolution data save time and money when it comes to understanding the resource and energy potential of your project site. They also share experiences from seasoned developers who have used AWS Truepower’s data to qualify project sites.

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Location Matters Webinar Slides

  1. 1. ALBANY • BARCELONA • BANGALORE AUGUST 2010 LOCATION MATTERS GIS-BASED SITE SCREENING, MAP-BASED ASSESSMENTS AND MET TOWER SITING WITH WINDNAVIGATOR® PROJECT DESIGN GRIDS AND OPENWIND® ENTERPRISE MATT BAKER MODELING GROUP MANAGER BRYON PHELPS PRODUCT COORDINATOR AMBER TRENDELL DIRECTOR OF SALES AND MARKETING 463 NEW KARNER ROAD | ALBANY, NY 12205 awstruepower.com | info@awstruepower.com
  2. 2. Outline • Site Screening with GIS Tools – Finding energetic sites and assessing competitive advantage • Map-based Assessments – Case Study • Siting Meteorological Towers – Using windNavigator® project design grids and openWind® Enterprise for preliminary met tower siting • Q&A ©2010 AWS Truepower, LLC
  3. 3. Locating Profitable and Energetic Sites: High-Resolution Wind Maps and Data ©2010 AWS Truepower, LLC
  4. 4. Locating Profitable and Energetic Wind Sites High-Resolution Wind Maps and Data Basic GIS Analysis Examples • Ranking of counties by amount of land area in a given wind class • Spatial selection of counties within distance of proposed transmission • Installed capacity vs. capacity factor Getting A Closer Look with Site-Specific Maps and Data • Site-specific maps can provide an indication of a site’s wind variability • ‘Virtual Met Masts’ provide a modeled annual time series dataset ©2010 AWS Truepower, LLC
  5. 5. Locating Profitable and Energetic Sites: GIS-based Site Screening ©2010 AWS Truepower, LLC
  6. 6. Locating Profitable and Energetic Wind Sites Site Screening Application and Inputs: • Modeled wind speed directions/frequency distributions • Validated wind speed map • Major development obstacles • Existing and proposed transmission line locations based on capacity and distance to sites • Additional optional inputs: cost of interconnection, cost per unit length of transmission and road construction, bulk plant loss factors, turbine model and power curve, desired plant capacity Result: Map and tabular ranking of best potential wind sites including: capacity factor, core and expanded area annual power output, annual average wind speed, road network lengths, etc. ©2010 AWS Truepower, LLC
  7. 7. Locating Profitable and Energetic Wind Sites Site Screening Application Results ©2010 AWS Truepower, LLC
  8. 8. Tools for Getting the Most Out of Your Project Site Public and private data is very useful in identifying potential obstacles to development, helping understand land acquisition and footprint needs, and aiding in the development of turbine layouts Source Data USGS (Seamless Data Server) 10m, 30m, 90m resolution elevation data National Land Cover Dataset (NLCD) Land cover (also for surface roughness) US Fish and Wildlife Service National Wetlands Inventory (NWI) ESRI-served datasets Hydrography, landmarks, airports, etc. US Census Bureau TIGER line files Roads, Municipal Boundaries Local Municipality Land Parcel (cadastral) Boundaries State Data Centers State-specific environmental areas FEMA/NFIP Floodplain maps FAA / DoD Preliminary Screening Tool Web-based preliminary site assessment Ventyx, Platts Transmission Lines, Buried Pipeline, etc. ©2010 AWS Truepower, LLC
  9. 9. Locating Profitable and Energetic Sites: Competitive Analysis ©2010 AWS Truepower, LLC
  10. 10. Locating Profitable and Energetic Wind Sites Existing and Proposed Wind Farm Locations for Competitive Analysis • AWEA and FAA turbine inventory data can be employed to conduct competitive analysis, understand potential wake impacts on your proposed project, and identify untapped wind resource Background map data source: Google Earth Wind Farm location source: AWEA, Federal Aviation Administration, AWS Truepower ©2010 AWS Truepower, LLC
  11. 11. Assessing the Energy Potential of Prospective Sites: Map-Based Energy Assessments ©2010 AWS Truepower, LLC
  12. 12. Assessing Energy Potential with Modeled Data Case Study: Map-Based Energy Assessments What: A method of estimating a plant’s energy production using: public turbine location data, models, and hub heights for existing wind projects; wind maps and modeled historical wind data; and region-specific loss estimates. Data are combined in a standard wind farm design software program to produce an estimated energy yield. Why: Time-constrained projects or portfolio acquisitions, need for an energy estimate in early stages of project development or need to understand energy production of a competitor’s project when on-site wind measurements are not yet available or not yet necessary. ©2010 AWS Truepower, LLC
  13. 13. Assessing the Energy Potential of Prospective Sites with Maps Case Study: Map-Based Energy Assessments Method 1. Develop Wind Resource Grid (WRG) for each project location using modeled output derived from MesoMap®, a mesoscale-microscale modeling system. 2. Calibrate the WRG to a fully-validated national 200 m horizontal- resolution mean annual wind speed map 3. Estimate site’s turbulence intensity and air density using modeled data 4. Use energy modeling software and plant-specific power curves to estimate turbine-by-turbine gross energy and wake losses, including wake losses from adjacent wind farms identified from wind farm inventory 5. Apply losses including: environmental, grid and turbine availability, electrical, and turbine performance losses (based on experience with other projects) ©2010 AWS Truepower, LLC
  14. 14. Assessing the Energy Potential of Prospective Sites with Maps Case Study: Map-Based Energy Assessments Method Performance and Validation • Method validated against operational plant production data from 41 wind farms spread across US, totaling 148 operational plant years • Method validates well overall: Shows a slight underestimation of energy production across the entire sample set • Some areas are predicted better than others ©2010 AWS Truepower, LLC
  15. 15. Assessing the Energy Potential of Prospective Sites with Maps Case Study: Map-Based Energy Assessments • Midwest, Upper and Lower Plains, Texas all predicted well. Method has some higher biases in Northeast and West ©2010 AWS Truepower, LLC
  16. 16. Assessing the Energy Potential of Prospective Sites with Maps Case Study: Map-Based Energy Assessments • Midwest, Upper and Lower Plains, Texas all predicted well. Method has some higher biases in Northeast and West ©2010 AWS Truepower, LLC
  17. 17. Tips for Getting the Most from Your Project Site: The Science and Art of Siting Met Towers ©2010 AWS Truepower, LLC
  18. 18. Met Tower Siting: Understanding Local Wind Patterns Wind flow is nearly perpendicular to the ridgeline a large percentage of the time and slopes are steep on either side of the ridge ©2010 AWS Truepower, LLC
  19. 19. Met Tower Siting: Understanding Local Wind Patterns ©2010 AWS Truepower, LLC
  20. 20. Met Tower Siting with openWind® Enterprise and PDGs • openWind’s Modeling Uncertainty Module, along with a Project Design Grid (PDG), allow the user to identify areas of a project that would most benefit from additional met towers based on wind flow, terrain complexity and character of existing met towers. • PDGs provide a validated snapshot of the wind resource including: • wind speed and power density for each point on the map • frequency and weibull parameters for each direction sector ©2010 AWS Truepower, LLC
  21. 21. Met Tower Siting with openWind® Enterprise and PDGs Project area with seven existing masts ©2010 AWS Truepower, LLC
  22. 22. Met Tower Siting with openWind® Enterprise and PDGs Wind speeds highest along feature and to the east ©2010 AWS Truepower, LLC
  23. 23. Met Tower Siting with openWind® Enterprise and PDGs openWind can help suggest new mast locations based on existing coverage ©2010 AWS Truepower, LLC
  24. 24. Met Tower Siting with openWind® Enterprise and PDGs openWind can help suggest new mast locations based on existing coverage ©2010 AWS Truepower, LLC
  25. 25. Met Tower Siting with openWind® Enterprise and PDGs Certain masts are most representative of certain areas of the map ©2010 AWS Truepower, LLC
  26. 26. Met Tower Siting with openWind® Enterprise and PDGs The mast that is most representative of any given spot can be a surprise ©2010 AWS Truepower, LLC
  27. 27. Met Tower Siting with openWind® Enterprise and PDGs openWind chooses a new mast location in the area of highest uncertainty ©2010 AWS Truepower, LLC
  28. 28. AWS Truepower Solutions: Which solution is right for you? ©2010 AWS Truepower, LLC
  29. 29. Goal Challenge(s) AWST Solution Identify multiple promising Limited in-house GIS GIS-based Site sites for new development capabilities, schedule and Screening opportunities budget Understand the No on site data, no intel on Map-based energy competitiveness of your competition’s potential assessment project advantages Conduct MCP analysis on Poor quality long-term Long Term VMM existing met tower data reference station data openWind® Enterprise Reduce uncertainty of wind Complex site, limited Uncertainty resource assessment schedule and budget Module + windNavigator® PDG ©2010 AWS Truepower, LLC
  30. 30. ALBANY • BARCELONA • BANGALORE August 2010 QUESTIONS AMBER TRENDELL DIRECTOR OF SALES AND MARKETING 518-213-0044 EX. 1020 ATRENDELL@AWSTRUEPOWER.COM 463 NEW KARNER ROAD | ALBANY, NY 12205 awstruepower.com | info@awstruepower.com

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