Lamina | Precision Solar Analytics

Forensic Yield Analysis

A specialised forensic layer that audits your asset's full operational history. We apply physics-based models to isolate string-level root causes and quantify exactly how much revenue is recoverable.

The Hidden Revenue Problem

Standard monitoring provides you data, not clarity.

SCADA systems are designed to track availability, but often fail to reveal if the asset is performing at its physical limit.

Critical losses like subtle degradation, string-level shading, or soiling hide behind the “green lights” on your dashboard. Disguised as normal seasonal variance, these inefficiencies create noise in your data, compounding over time and silently eroding revenue. 

We reduce the noise. By applying our hybrid forensic model to your asset’s full history, we blend rigorous engineering models with advanced pattern recognition. This allows us to isolate hardware faults from external weather factors with mathematical certainty, delivering a definitive, clear picture of true performance.

The Recovery Strategy includes:
  • Forensic Deep-Dive Analysis:
    A comprehensive, evidence based audit detailing each of the primary historical loss drivers across the asset’s life. Delivered with a clear, high-impact summary for immediate decision-making.
  • Recoverable Revenue Quantification:
    A precise financial breakdown of how much revenue can be recovered through fixing specific issues.
  • String-Level Root Causes:
    Pinpointing exact sources of underperformance at a string level.
  • Interactive Forensic Suite:
    Supplementary access to our deep-dive interactive dashboards, allowing your engineering team to verify findings down to the raw data.

From Data Integration to Forensic Strategy

1. Data Integration

Full operational history and high-resolution meteorological data are ingested into the forensic engine. Automated data cleansing and supplementation remove sensor drift and gaps, ensuring the analysis is built upon a verified physical baseline.

2. Hybrid Modelling

Physics-based engineering models simulate the asset’s physical limit under exact historical weather conditions. Advanced pattern recognition identifies performance signatures across historical datasets to isolate hardware faults from weather variance, providing definitive string-level root causes.

3. Strategic Yield Recovery

Technical findings are mathematically translated into a prioritised recovery strategy. Financial impacts are quantified for all primary loss components, moving beyond raw data to deliver the high-impact summaries required for immediate O&M decision-making.

Insights Across the Asset Lifecycle

Asset Management validating portfolio performance and implementing targeted revenue recovery strategies. Forensic insights provide the evidence required to isolate causes of underperformance and justify remediation.

Investment Funds executing technical due diligence and de-risking high-stakes portfolio acquisitions. Mathematical quantification of historical yields delivers the financial certainty needed for accurate asset valuation.

O&M teams optimising resource allocation through string-level fault isolation. Distinguishing between external shading and hardware faults ensures field teams are deployed only where they can deliver maximum impact.

The Lamina Standard

While standard monitoring creates noise, Lamina creates clarity. Applying first-principles thinking and lean analytical methods to isolate the physical reality of the asset from environmental variance. we focus on the signal, eliminate the guess work and unlock the true potential of your asset.

Engineered Rigor

Grounded in first-principles engineering, we don’t just hand you another dashboard. We deliver the complete analysis, providing definitive answers while maintaining the transparency and capability for you to verify and investigate the performance yourself.

We provide the unbiased baseline essential for the entire asset lifecycle. Independent of commercial conflicts, we deliver uncompromised transparency, replacing assumption with evidence to enable confident decision-making based on objective data.

We translate technical complexity into financial clarity. Moving beyond generic alerts, we quantify the recoverable revenue of the primary loss drivers, delivering the definitive evidence required to justify expenditure and maximise yield.

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