Project

Urban Solar Suitability Planner

Data science + geospatial analysis • Completed

Summary

A planner for identifying optimal rooftop solar locations in urban environments using data-driven suitability modeling.

Problem

Municipal planners and renewable energy teams need a scalable way to score buildings for solar panel suitability.

Approach

I combined land cover, roof orientation, shading potential, and energy demand data to build a suitability index and visualized results on interactive maps.

Results

The tool helped highlight the top 12% of urban rooftops with strong solar potential and improved site prioritization for pilot installations.