Your solar plant deserves a sunalysis.
Independent technical analysis of utility‑scale PV plants — identifying DC system losses, verifying capacity, and quantifying the financial impacts that matter.
Independent
Objective analysis for owners, lenders, and investors — no conflicts of interest.
Data‑Driven
Engineering analysis using real operational data and performance modeling.
Utility‑Scale
Specialized in large photovoltaic power plants and DC system diagnostics.
What we do
Comprehensive solar performance analysis across every stage of your plant's lifecycle.
Pre‑COD Capacity Testing
Independent verification of installed PV capacity and expected system performance.
Underperformance Diagnostics
Root‑cause analysis of production losses using plant data and modeling.
Asset Performance Evaluation
Independent comparison of measured output against modeled expectations.
Warranty Claim Support
Technical analysis supporting module, inverter, or EPC warranty claims.
Curtailment Quantification
Analysis of curtailed generation events and their financial impacts.
Repowering Analysis
Evaluation of inverter replacement and system upgrade scenarios.
How sunalysis works
From raw data to actionable findings.
Data Analysis
Ingest SCADA, meter, and weather data.
Modeling
Build expected performance baselines.
Loss ID
Isolate and quantify each loss category.
Reporting
Clear, defensible technical reports.
Results that matter
Representative engagements demonstrating how independent analysis drives better outcomes.
String-level MPP retrofit validation
Applied a Difference-in-Differences (DiD) econometric framework to 586 daily SCADA observations, isolating a statistically significant performance ratio improvement attributable to string-level MPP tracking.
uplift (p < 0.0001)
Single-MPPT mixed-module mismatch
Modeled mixed HJT and TOPCon strings across multiple inverter blocks. Quantified Year 1 mismatch losses and identified a 1.44A reverse circulating current safety risk during inverter shutdown.
and safety risk quantified
PV string degradation analysis
Conducted string-level degradation analysis on 3.4M SCADA data points over 6 years. Quantified systemic degradation averaging -1.10%/yr, proving that 95 of 157 strings exceeded the warranty limit.
exceeding warranty threshold
When to call sunalysis
Common scenarios where independent analysis is critical.
Plant underperforming vs P50
Unexplained production losses relative to modeled expectations.
Pre‑COD capacity risk
Evaluating system capacity before commercial operation.
Warranty dispute
Independent analysis supporting EPC or equipment warranty claims.
Solar asset acquisition
Technical due diligence on historical plant performance.
Michelle Propst
Founder & Principal Analyst
30 years solving complex problems in photovoltaics
sunalysis was founded by Michelle Propst to provide asset owners, lenders, and investors with truly independent performance analysis — free from the conflicts that come with being an EPC, O&M provider, or equipment vendor.
Michelle's career spans the full PV value chain: from semiconductor process engineering at Intel, to thin‑film module characterization at Abound Solar, to founding Pearl Laboratories — a third‑party PV testing facility serving top‑tier manufacturers and financial institutions. As Director of Field Applications Engineering at Ampt, she built and led a global team of 15 across 5 time zones, overseeing the performance analysis of a 2+ GW install base of DC:DC power electronics in utility‑scale PV and PV+Storage applications.
She holds a BS in Electrical Engineering from Colorado State University, a US patent in PV module preconditioning methods, and has presented research at NREL PV Reliability Workshops and IEEE PVSC conferences. Her work developing algorithms to detect electrical fault signatures from operational data — analyzing over 200 million data points per day — directly informs the diagnostic approach behind every sunalysis engagement.
Who we work with
Let's get a pulse on your plant.
If your plant is underperforming or you need independent analysis, we're here.
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