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.
Solar performance analysis
sunalysis llc finds out what a solar plant is really producing and why. Founded by electrical engineer Michelle Propst, it identifies DC system losses, verifies capacity, and quantifies the financial impacts that matter for owners, lenders, and investors.
Your solar plant deserves a sunalysis.
Three things set a sunalysis engagement apart.
Objective analysis for owners, lenders, and investors.
Engineering analysis using real operational data and performance modeling.
Specialized in large photovoltaic power plants and DC system diagnostics.
Solar performance analysis across every stage of a plant’s lifecycle.
Independent verification of installed PV capacity and expected system performance.
About capacity testing →Root-cause analysis of production losses using plant data and modeling.
About underperformance diagnostics →Independent comparison of measured output against modeled expectations.
About asset performance evaluation →Technical analysis supporting module, inverter, or EPC warranty claims.
About warranty claim support →Analysis of curtailed generation events and their financial impacts.
About curtailment quantification →Evaluation of inverter replacement and system upgrade scenarios.
About repowering analysis →From raw data to actionable findings.
Ingest SCADA, meter, and weather data.
Build expected performance baselines.
Isolate and quantify each loss category.
Clear, defensible technical reports.

Representative engagements showing how independent analysis drives better outcomes.
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.
Modeled mixed thin-film and c-Si strings across multiple inverter blocks. Quantified Year 1 mismatch losses and identified a 3.2 A reverse circulating current safety risk during inverter shutdown.
Conducted string-level degradation analysis on 3.4M SCADA data points over 6 years. Quantified systemic degradation averaging −2.10%/yr, showing that 95 of 157 strings exceeded the warranty limit.
Common scenarios where independent analysis is critical.
Unexplained production losses relative to modeled expectations.
See the service →Evaluating system capacity before commercial operation.
See the service →Independent analysis supporting EPC or equipment warranty claims.
See the service →Technical due diligence on historical plant performance.
See the service →
Founder
Michelle founded sunalysis to give asset owners, lenders, and investors independent performance analysis of utility-scale PV plants. Her career runs from semiconductor engineering at Intel, to thin-film module characterization at Abound Solar, to founding the third-party PV test lab Pearl Laboratories, to directing field applications engineering at a PV power-electronics company.
If your plant is underperforming or you need independent analysis, email sunalysis with your plant size and what’s going on.