Solar Site Suitability Mapping for Utility-Scale Projects
Efficient utility-scale solar project planning depends on identifying locations with high solar potential and strong connectivity to the power grid. A free and easy-to-use GIS platform, allows users to visualize and layer crucial spatial data such as Global Horizontal Irradiance (GHI), land use, flood zones, and transmission infrastructure to guide informed decision-making.
Why GIS for Solar Planning?
Not all sunlit land is viable for solar development. GIS allows users to answer essential questions like:
Are the target parcels located in high-GHI zones?
Are they safe from flood risks and near existing powerlines?
By using spatial filters and buffers, planners can eliminate unsuitable locations and focus on areas that are technically sound and logistically accessible.
Educational Significance
This exercise improves:
Application of theory to real-world energy planning
Spatial reasoning and geospatial literacy
Understanding of how GIS supports sustainable infrastructure
Step-by-Step Methodology
Start by creating a new story. Load key base layers like administrative boundaries, industrial land parcels, flood-prone areas, and transmission lines. Upload the GHI dataset and apply a heat map style to visualize solar intensity. Use buffer tools to define 2 km zones around rivers and 500 m zones around powerlines. Merge the buffers using merge polygon and apply filters to eliminate land parcels within flood zones or those far from the grid. Identify six high-GHI locations from the filtered results and mark them manually. Using “Add story” add points and add attributes such as GHI value, site name, and a brief description. Customize point icons and labels, then publish and share the final map using export features.
Use Case: Government-Led Solar Expansion for Industrial Parks
A state government launched an initiative to promote renewable energy adoption across its industrial parks. Planners evaluated land parcels across several districts by overlaying GHI, land use, and infrastructure data. After applying buffers and filters, they identified multiple sites ideal for solar installations within government-owned industrial zones. These findings supported investment proposals and policy decisions, accelerating the state’s green energy goals.
Wider Impact
Solar site suitability mapping with GIS strengthens clean energy transitions, minimizes environmental risks, and enhances collaboration among academic, private, and public stakeholders.
Conclusion
By combining intuitive GIS tools with structured spatial analysis, platforms like MAPOG enables data-driven solar planning that is efficient, inclusive, and scalable. It transforms raw location data into meaningful insights for real-world energy solutions.