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Rooftop Solar Potential

Combine surface elevation and building footprints to compare rooftop solar potential in Miami-Dade County.

Video thumbnail: Mapping Rooftop Solar Potential with Natural Language | GriidAI Workflow
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Which building rooftops show stronger modeled solar potential?

The demonstration aligns a USGS digital surface model with OpenStreetMap building footprints. Rooftops are isolated before modeling radiation with slope, orientation and shading effects.

Zonal summaries translate the modeled surface into building-level measures and potential classes. Monthly radiation patterns add a seasonal view alongside the overall comparison.

Source video

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Mapping Rooftop Solar Potential with Natural Language | GriidAI Workflow

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From question to analysis

Data and inputs

  • A digital surface model
  • Building footprints in an aligned coordinate system
  • A modeling year and solar-radiation parameters

Analysis described in the video

  1. Check surface-model and building-footprint alignment.
  2. Isolate rooftops and calculate radiation for the selected period.
  3. Summarize radiation and rooftop area for each building.
  4. Compare potential classes and inspect monthly patterns.

Understand the output

Outputs described

  • Building-level radiation and rooftop-area summaries
  • Solar-potential classes and seasonal comparisons

What to review

  • Review surface-model resolution, rooftop geometry and shadow assumptions.
  • Modeled radiation is a screening input; installation feasibility needs further assessment.