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VIESORE - Visual Impact Evaluation System for Offshore Renewable Energy

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VIESORE - Visual Impact Evaluation System for Offshore Renewable Energy

  1. 1. VIESORE Visual Impact Evaluation System for Offshore Renewable Energy Chad Cooper, Snow Winters, Malcolm Williamson, Jackson Cothren Center for Advanced Spatial Technologies University of Arkansas, Fayetteville Robert Sullivan Argonne National Laboratory Argonne, Illinois
  2. 2. Credits/disclaimer • funded by Bureau of Ocean Energy Management (BOEM) • on-going study • not meant to represent BOEM policy
  3. 3. Offshore wind 101 • First offshore wind farm – Denmark 1991 • 2010 – 39 offshore farms off coasts of UK, Europe, and Scandinavia • Largest turbines now over 500 feet tall • Power carried to land via transmission cable • Wind energy contractors submit site proposals to governing bodies – Contractors provide photomontages
  4. 4. Offshore windfarms coming to the U.S. www.capewind.org Cape Wind www.capewind.org
  5. 5. Offshore windfarms coming to the U.S. www.capewind.org Cape Wind www.capewind.org
  6. 6. ...and in come the proposals Bureau of Ocean Energy Management (BOEM) reviews all project proposals within federal waters • offshore oil and gas exploration • offshore wind • wave • tidal flow • ocean current • environmental laws and regulations
  7. 7. Offshore wind 101 – Cape Wind • Siemens SWT 3.6-107 – rotor diameter – 107m (351ft) – total turbine height – 132m (433ft) • 130 turbines arranged in a grid • 12.5 miles of transmission cable • partial generation planned for 2015
  8. 8. BOEM system requirements The system must: • enable spatial design of offshore facility • import geospatial data • allow user control of atmospheric, lighting, wave conditions • generate spatially accurate and realistic visualizations • output reports and images • provide a user-friendly interface It shall enable users to: • evaluate photomontages in environmental impact statements (EISs) • independently assess proposed facilities
  9. 9. Approach Photomontages www.capewind.org Pros: • realistic • accepted • accurate* *dependent upon lens used Cons: • need photos from every potential point of interest – oops, we didn’t take a photo from there! • difficult to show different lighting/weather conditions • human error
  10. 10. Approach Photomontages www.capewind.org Pros: • realistic • accepted • accurate* *dependent upon lens used Cons: • need photos from every potential point of interest – oops, we didn’t take a photo from there! • difficult to show different lighting/weather conditions • human error
  11. 11. Approach 3D visualizations Pros: • CAST does 3D • photorealistic • Vue Python API Cons: • learning curve • you need horsepower • user interface is scary
  12. 12. Approach 3D visualizations via GIS interface Pros: • CAST does 3D • photorealistic • Vue Python API Cons: • user interface is scary • learning curve • you need horsepower, but affordable
  13. 13. System design ArcGIS 10.0 ArcGIS 10.0 Renders Reports friendly interface script tools JPG Videos HMTL SHP Input data
  14. 14. System design ArcGIS 10.0 ArcGIS 10.0 Renders Reports friendly interface script tools JPG Videos HMTL SHP Input data
  15. 15. System design ArcGIS 10.0 ArcGIS 10.0 Renders Reports friendly interface script tools Log JPG Videos Log HMTL xml template xml project SHP .vue Log Input data .mat .atm
  16. 16. Development to date • translate data for import into Vue – digital elevation – wind turbine generator (WTG) point locations – key observation points (KOPs) • import above data into Vue • move objects around as needed, adjust size • import 3D WTG model • set camera and sun position • render to jpeg
  17. 17. Development to date • translate data for import into Vue – digital elevation – wind turbine (WTG) point locations – key observation points (KOPs) • import above data into Vue • move objects around as needed, adjust size • import 3D WTG model • set camera and sun position • render to jpeg
  18. 18. Data translations
  19. 19. Kitty Hawk, NC 1/9 arc-second NED vertical accuracy +/- 1 meter
  20. 20. Oregon coast 1/9 arc-second NED vertical accuracy +/- 1 meter
  21. 21. Key observation points A.K.A., the camera
  22. 22. WTG placement
  23. 23. Current results Real-world GIS data brought into Vue Photorealistic renderings User-friendly interface
  24. 24. Current results Real-world GIS data brought into Vue Photorealistic renderings User-friendly interface
  25. 25. Current results Real-world GIS data brought into Vue Photorealistic renderings User-friendly interface - still working on that...
  26. 26. Renders
  27. 27. Issues tackled • Vue data formats • Data translations galore • Using real-world data in software that wasn’t really made for it • Coarse-grained Vue Python API makes you come up with creative workarounds
  28. 28. Still to do • User interface to Vue – Toolbox designs and linkage to Python scripts • ArcToolbox tools • wxPython • Report generation – Python • Help/documentation
  29. 29. Questions? chad@cast.uark.edu http://cast.uark.edu

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