Salt Lake Solar Ignite

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Presentation on Salt Lake City Solar Energy Modeling project done in partnership with Utah Clean Energy and the Automated Geographic Reference Center (done in the style of Ignite lightning talks, with a bit of cheating).

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Salt Lake Solar Ignite

  1. 1. Solar Energy Resources Kevin Bell SLC Bert Granberg AGRC Modeling Salt Lake City’s 1
  2. 2. Project Goals <ul><li>Quantify the Solar Energy Resources at Relevant Scales </li></ul><ul><ul><li>City held properties </li></ul></ul><ul><ul><li>City-wide </li></ul></ul><ul><ul><li>Residential & business properties </li></ul></ul><ul><li>Make results accessible to all </li></ul>2
  3. 3. What’s important <ul><li>#1 Solar Radiation on Existing Surfaces </li></ul><ul><ul><li>Flush mount ‘active’ solar systems </li></ul></ul><ul><ul><ul><li>Heating </li></ul></ul></ul><ul><ul><ul><li>PV electrical generation </li></ul></ul></ul><ul><ul><li>Passive heating/cooling analysis </li></ul></ul><ul><ul><ul><li>Tree placement </li></ul></ul></ul><ul><ul><ul><li>Heat island effect analysis </li></ul></ul></ul>3
  4. 4. What’s important <ul><li>#2 Sunlit Hours for Existing Surfaces </li></ul><ul><ul><li>Angled rack mount ‘active’ solar </li></ul></ul><ul><ul><ul><li>Heating </li></ul></ul></ul><ul><ul><ul><li>PV electrical generation </li></ul></ul></ul><ul><ul><li>Passive uses </li></ul></ul><ul><ul><ul><li>H 2 0 planning? </li></ul></ul></ul><ul><ul><ul><li>Gardening? </li></ul></ul></ul>4
  5. 5. Project Requirements <ul><li>Digital model of existing terrain and surfaces </li></ul><ul><ul><li>LiDAR digital terrain model of study area </li></ul></ul><ul><li>Mathematical model of the Sun’s path </li></ul><ul><ul><li>Nat’l Renewable Energy Labs (NREL) </li></ul></ul><ul><li>Integrating Platform </li></ul><ul><ul><li>ESRI ArcGIS </li></ul></ul>5
  6. 6. <ul><li>LiDAR = Light Detecting And Ranging </li></ul><ul><li>Pulsed laser transmission </li></ul><ul><li>Optical sensor </li></ul><ul><li>Like GPS & Radar, uses time as a surrogate for space to measure distance from a known location </li></ul>6
  7. 7. <ul><li>Using LiDAR to gather terrain data </li></ul><ul><li>Mount LiDAR sensor on airplane </li></ul><ul><li>Synchronize LiDAR sensor with high-precision GPS equipment (to get instantaneous geographic position of sensor) </li></ul><ul><li>Measure vertical distance from plane to surface features (get M for each X,Y) </li></ul><ul><li>Derive large set of elevation points with 3D geographic coordinates </li></ul><ul><ul><li>Usually 1-2 meters spacing of measurements </li></ul></ul>7
  8. 8. 4212 4220 <ul><li>Raster Terrain Model </li></ul><ul><li>Concept: graph paper model of an area </li></ul><ul><li>Each cell in the array carries and elevation value </li></ul>8
  9. 9. <ul><li>Raster Terrain Model </li></ul><ul><li>in GIS, colored by height value </li></ul>9
  10. 10. <ul><li>Raster Terrain Model </li></ul><ul><li>in GIS </li></ul><ul><li>extruded by height </li></ul><ul><li>colored by height value </li></ul>10
  11. 11. Solar Modeling Animation Salt Lake Library March 21 8:00 AM 11
  12. 12. Solar Modeling Animation Salt Lake Library March 21 9:00 AM 11
  13. 13. Solar Modeling Animation Salt Lake Library March 21 10:00 AM 11
  14. 14. Solar Modeling Animation Salt Lake Library March 21 11:00 AM 11
  15. 15. Solar Modeling Animation Salt Lake Library March 21 12:00 PM 11
  16. 16. Solar Modeling Animation Salt Lake Library March 21 1:00 PM 11
  17. 17. Solar Modeling Animation Salt Lake Library March 21 2:00 PM 11
  18. 18. Solar Modeling Animation Salt Lake Library March 21 3:00 PM 11
  19. 19. Solar Modeling Animation Salt Lake Library March 21 4:00 PM 11
  20. 20. Solar Modeling Animation Salt Lake Library March 21 5:00 PM 11
  21. 21. Solar Modeling Animation Salt Lake Library March 21 6:00 PM 11
  22. 22. Solar Modeling Animation Salt Lake Library March 21 7:00 PM 11
  23. 23. Solar Radiation Calculation Σ For given dates/times - Is Surface Sunlit? - Factor in relationship between Terrain Slope & Sun Position optimal instantaneous angle = 90 degrees optimal fixed angle = latitude (~ 40 degrees in SLC) 12
  24. 24. 192 4.5 237 7.2 <ul><li>Completed Raster Model, </li></ul><ul><li>each cell carries monthly averages </li></ul><ul><ul><li>Sunlit hours </li></ul></ul><ul><ul><li>Watt hours </li></ul></ul><ul><ul><li>400 million cells </li></ul></ul><ul><ul><li>x 24 data values </li></ul></ul><ul><ul><li>10 billion data values </li></ul></ul><ul><ul><li>+ implied x,y coords </li></ul></ul>40000 10000 13
  25. 25. <ul><li>Solar Modeling: </li></ul><ul><li>Huge Computational Costs at 1 meter </li></ul><ul><li>Divide and Conquer Approach </li></ul><ul><li>How big a tile to </li></ul><ul><li>process in isolation? </li></ul><ul><li>How large a buffer to process around the tile </li></ul><ul><ul><li>Look at </li></ul></ul><ul><ul><li>neighboring tile </li></ul></ul><ul><ul><li>heights for tall </li></ul></ul><ul><ul><li>shadow casters </li></ul></ul>14
  26. 26. <ul><li>Divide and Conquer Tiles </li></ul><ul><li>Red larger buffers </li></ul><ul><li>Yellow medium buffers </li></ul><ul><li>Blue smaller buffers </li></ul>15
  27. 27. Raster-based Solar Radiation Results  Map Web Service (For Mixed Use Neighborhood) 16
  28. 28. Performance Issues <ul><li>Raster Datasets are Sequentially Stored data structures </li></ul><ul><ul><li>Line scans are fast (rendering) </li></ul></ul><ul><ul><li>Full dataset analysis/summaries are fast (citywide) </li></ul></ul><ul><ul><li>Neighborhood (spatial) queries are slooooow </li></ul></ul><ul><li>And we have 24 of them to deal with </li></ul><ul><ul><li>Two measures x 12 months </li></ul></ul><ul><li>Solution…. </li></ul>17
  29. 29. Point-based output sample July Sunlit Duration, Salt Lake Library Building. Neighborhood Query Performance Solution: Store all 24 raster values for a given raster cell in a separate vector based data structure as a simple point feature 18 Solar Radiation Results  Spatial Query Web Service (Aggregated to point shapefile)
  30. 30. <ul><li>Map image service </li></ul><ul><li>(based on raster output) </li></ul><ul><li>Spatial Query Web services </li></ul><ul><li>(JSON, based on vector pts) </li></ul><ul><li> input: </li></ul><ul><li>polygon x,y coordinates </li></ul><ul><li>production threshold </li></ul><ul><li>outputs: </li></ul><ul><li>monthly sunlit hours (Duration) </li></ul><ul><li>monthly watt hours (Radiation) </li></ul><ul><li>area above production threshold </li></ul>19 Turn Web Services Over to Web Designers Map Services Spatial Query Web Services Web App
  31. 31. 20 Putting it all Together: Coming Soon…Product [email_address]

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