What a 3D roof model contributes to solar design
A roof model represents surfaces, orientation, dimensions, and obstructions so a designer can evaluate panel placement and shading. It helps solar installers, designers, and sales teams discuss the same proposed layout.
SurgePV connects solar design, shading analysis, and financial modeling. The usefulness of the result depends on the source data and the review performed.
Inputs to prepare
Start with the project location and the best available site information. Collect roof dimensions, pitch, orientation, obstruction information, and any survey or imagery records you are permitted to use. Confirm which data sources and import options are available for your location during the demo.
Imagery can be outdated, obscured, or too coarse to resolve an important feature. Automated detection, where available, needs a designer to inspect and correct the result. Do not assume uniform LiDAR coverage or a fixed dimensional accuracy for every address.
From model to reviewed layout
- Establish the roof geometry. Check planes, edges, pitch, orientation, and scale against known site information.
- Review obstructions. Check vents, skylights, chimneys, parapets, and nearby objects relevant to the design.
- Apply project constraints. Review access routes, equipment clearances, and applicable setbacks with the responsible professional.
- Place and inspect the array. Check module dimensions, usable area, and service access.
- Review shading and yield. Record the model assumptions before using the results in a proposal.
Different roofs need different checks
Pitched residential roofs: verify individual planes, dormers, ridge positions, and small obstructions that may be difficult to distinguish in imagery.
Commercial roofs: check parapets, roof equipment, walkways, and mounting constraints. A geometric model does not confirm load capacity or roof condition.
Complex sites: identify uncertain dimensions and arrange appropriate site verification. A remote model does not remove the need for surveys or inspections where required.
Evaluate AI roof detection with your own example
For an AI-assisted workflow, ask to see the original input, the generated geometry, the designer’s corrections, and the final reviewed layout. That comparison is more useful than an accuracy percentage without a defined measurement method.
Explore Clara AI for the assistant workflow and bring a representative roof to your demo. Confirm current automation features and geographic coverage before relying on them.
