Solar Optimization

Snapshot

• Client profile: Renewable energy project team (30-100 team members), GCC and North America portfolio
• Timeline: Core model build and rollout over one to two quarters
• Scope: Layout optimization, shading-aware placement, scenario comparison, and operational data model

The Problem

The engineering team needed to improve field performance without relying on blunt site interventions. Project success depended on balancing yield goals with ecological and permitting constraints.

Site decisions were being made with fragmented calculations and inconsistent documentation, making it harder to compare scenarios across projects.

• Panel placement decisions were not consistently linked to long-horizon performance outcomes
• Environmental constraints were handled late instead of at planning time
• Cross-functional review of alternatives was slow because model assumptions were not standardized

What We Built

We defined a unified planning framework for geometry, shading constraints, and success criteria that could be reused across sites.

We built optimization workflows for panel positioning and orientation, with scenario outputs structured for engineering and operations review.

We implemented governance checklists and documentation standards so planning assumptions remained auditable through delivery.

What Stuck

• Teams could evaluate tradeoffs faster with shared scenario logic
• Performance planning became repeatable rather than analyst-dependent
• Project reviews gained clearer traceability from assumptions to decisions

Impact

• Improved planning-stage yield outcomes by ~15-30%
• Reduced late-stage redesign effort caused by site constraint conflicts
• Increased confidence in deployment decisions across engineering and operations