frankraDIUM/Accra-Urban-Solar-Suitability-Investment-Mapping-Using-Geospatial-AI-and-Economic-Modeling
Domain:
environment and energygeospatialRecord type:
project
Creator:
fra
Host:
Accra Solar Rooftop Suitability & Investment Dashboard. A geospatial AI pipeline for building-level solar potential assessment in Central Accra, Ghana.
# 🌞 Accra Urban Solar Suitability & Investment Mapping Using Geospatial AI and Economic Modeling
Accra Solar Rooftop Suitability & Investment Dashboard. A geospatial AI pipeline and interactive decision-support tool for urban solar potential in central Accra, Ghana.
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Dashboard Preview
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Solar Potential Density
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Spatial Clusters
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Top Investment Opportunities
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Summary
This project developed a scalable, end-to-end geospatial AI pipeline to assess rooftop solar potential across central Accra, Ghana.
The system integrates high-resolution building footprints, terrain-derived slope and aspect, NASA POWER solar irradiance data,
realistic economic modeling (including dynamic NPV and payback), shadow attenuation via building height proxies,
H3 hexagonal aggregation for scalability, and Getis-Ord Gi* hotspot analysis.
The result is an interactive Streamlit dashboard that supports multi-scale decision-making, from individual building investment to neighborhood-level policy planning.
Key outcomes:
- Analyzed 632,195 buildings in the Greater Accra area.
- Generated realistic solar potential estimates (mean ~12,408 kWh/year per building after shadow adjustment).
- Produced dynamic ROI metrics with user-adjustable parameters (tariff, discount rate, self-consumption, cost per kW).
- Identified spatial clusters of high solar investment potential using hotspot analysis.
- Delivered a production-ready interactive dashboard with four distinct map views.
*1. Objectives*
Detect and characterize individual building rooftops using open building footprint datasets.
- Assess technical solar suitability using slope, aspect, usable roof area, and shadow effects.
- Estimate annual energy generation with performance losses and shadow attenuation.
- Perform detailed economic analysis (payback period, NPV) with real-time sensitivity.
- Aggregate results at hexagonal grid level for policy insights and performance.
- Identify spatial investment hotspots a …
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