Over‑ and under‑scoped replacement due to poor damage assessment quality
Definition
Claims documentation often relies on incomplete ground inspections or emerging tools like drone thermography, which engineering experts note have important limitations for detecting all forms of PV damage. This can lead to modules being unnecessarily scrapped or, conversely, hidden damage being missed, both of which create recurring financial harm.
Key Findings
- Financial Impact: In hail events where claims range from $5M to $80M per site, even a 5–10% mis‑classification of modules due to poor assessment quality can translate into hundreds of thousands to millions of dollars in unnecessary replacement or latent‑defect risk.
- Frequency: Every significant weather‑damage claim requiring large‑scale module or tracker assessment
- Root Cause: Reliance on rapid, high‑level inspection techniques (e.g., drone thermography) without adequate ground‑truthing and standards, combined with insurer pressure to quickly quantify losses, produces systematic errors in determining which equipment is damaged beyond serviceability.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Solar Electric Power Generation.
Affected Stakeholders
Independent engineer, Loss adjuster, Owner’s engineer, O&M provider, Insurance underwriter
Deep Analysis (Premium)
Financial Impact
$100K-$1.5M (REC price re-negotiation penalty @ $5-$20 per REC × 100K-500K REC shortage due to mis-scoped replacement = $500K-$10M contract loss) • $1M-$8M (PPA penalty @ $50K-$100K per day × 20-100 day claim resolution delay due to conflicting assessments) • $200K-$2M (Council rejects full replacement due to perceived over-scoping; hidden damage surfaces later; city faces 5-10 year performance loss = $500K-$2M lost generation revenue + public relations damage)
Current Workarounds
Email chains with site operator about module replacement timeline; manual Excel model re-run for REC generation forecast; phone call renegotiation with REC buyers • Email coordination with insurance adjuster; Excel budget tracking; council presentation with PDFs of drone thermography images • Excel pivot table of damaged modules; email surveys to member utilities for approval; manual billing spreadsheet for cost allocation
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Under‑recovered revenue from production downtime after weather events
Escalating repair and soft costs from large weather‑damage claims
Slow, disputed claim settlements delaying cash recovery
Extended generation capacity loss from preventable extreme‑weather damage
Indirect penalties and contract breaches from delayed restoration after weather events
Inflated or strategically scoped claims in complex hail and wind losses
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