Energy conservation, energy efficiency, alternative cleaner energy, renewable energy and energy storage are all parts of the climate change solution equation. No single approach is potent enough to fight climate change alone. A combination of approaches are needed to ensure technical, economical and environmental benefits. Many factors such as geographic location, point of use, generation, transmission and distribution infrastructures and consumer demographic influence the choice of suitable energy strategies such as solar, wind, wave, biomass, battery and hydrogen fuel cell etc. GGI provides remote sensing-based geospatial analytics & Geoinformatics solutions to private, public, government, nonprofit and institutional customers for solar, wind, wave and renewable hydrogen fuel cell energy generation and battery storage project proliferations. These solutions significantly reduce site selection, design and customer acquisition costs and improve accuracies of power purchase agreement (PPA) metrics of renewable energy and energy storage projects for developers, installers and independent power producers (IPPs).

With the passage of CA SB 100, the case for renewable energy has never been stronger. It is also encouraging to see that in the first half of 2017 about 46% of the new power capacity in the USA is from renewable sources. GGI brings innovative technical and business solutions to facilitate proliferation of safe, affordable and reliable renewable energy.

The Solar Industry Opportunity

Installers physically need to get on roofs for accurate proposals

  • Measuring roof obstructions/shade is time consuming & expensive
  • Each installation is a custom design
  • Inconvenient & intrusive for homeowners
  • High number of unqualified leads

Installers risk $1000 - $3000 cost on a proposal due to inaccurate preliminary design

GGI automates the most time-consuming steps of the customer acquisition process using large area remote sensing (LiDAR and/or SfM/Photogrammetry)-derived analytics and reduces the need for costly pre-installation site visits/truck rolls

  • 1Proprietary algorithms for feature extraction (distinguish objects)-based calculations
  • 2Proprietary algorithms for performing shade analysis directly from point clouds
  • 3Custom HW/SW architecture for processing billions of points in a single batch

Point/Pixel Level Analyses

City/State/Country Level Results

Check out GGI's large-scale aerial LiDAR-derived automated solar site plans (actual panel layout) product demo below (Patent pending)

Solar Access

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Shady