Optimizing Solar Land Acquisition

Project objective

A renewable energy firm aimed to launch a 100MW solar farm in Central Florida but encountered issues with:

  • Fractional ownership parcels
  • Undefined surface rights
  • Parcels flagged under floodplain or conservation zones

With multiple owners per parcel and slow land access negotiation, timelines were slipping.

Industry

Energy Infrastructure

Location

Polk & Osceola Counties, Florida

Client

Solis Renewables Inc.

The Infraag.ai Solution

Infraag.ai aggregated data from property appraisers, flood zone maps, solar irradiance indexes, and state conservation overlays. The platform:

  • Scored land parcels based on legal clarity, solar potential, and environmental risk
  • Provided predictive pricing for lease rates
  • Generated digital due diligence reports for landowner engagement

Our Implementation

  • Processed 3,500+ parcels in under 36 hours
  • Ranked top 20 parcels by combined feasibility score
  • Used smart filters to exclude wetlands and restrictively zoned lots
  • Delivered visual reports to investor and permitting teams

Driven Result

  • Identified 14 qualified and available parcels in <3 weeks
  • Reduced estimated permitting delays by 35%
  • Increased projected ROI by 9%
  • Supported a successful community approval campaign using land clarity reports

Technology Used

  • Infraag AI Parcel Scoring Model
  • Environmental Sensitivity Scanner
  • Lease Rate Predictor
  • Report Automation Engine

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