A case study presented at PVPMC 2026 shows that spectral treatment alone can shift capacity test outcomes by over 3 percentage points — on a test with a 97% pass threshold. That swing was driven entirely by the choice of spectral correction method, not by the plant's actual performance.

Ground albedo drives bifacial gain — but it's the bifacial correction factors that are hardest to justify. Our latest release generates a full audit trail for every PVsyst correction factor, automatically.

Cell-to-module loss (CTM) sits at the intersection of cell and module engineering. As cell performance approaches practical limits, the challenge is how much of that value survives into the finished module. This article introduces CTM and shows how simulation tools are being used to understand, predict, and optimise the cell-to-module transition.

Albedo boosters lose their edge when they get dirty. Snow melts unevenly. Ground cover varies across every site. An independent study validates SunSolve's ability to model these non-uniform albedo conditions against field measurements — and the yield impact is larger than most engineers assume.

Conventional yield tools couldn't capture the performance of 5B's innovative Maverick mounting system. By working together with SunSolve, 5B uncovered two separate 1–2% yield uplifts — improvements that were invisible to standard modelling — and gained the insights to drive their next-generation design.

Real modules aren't perfect — they have shunts, manufacturing variations, and degradation. The new Modifiers feature in SunSolve Power lets you adjust cell-level circuit parameters to simulate defects, shading, and manufacturing variance without re-running your ray trace.

Next-gen module technologies demand a new approach to yield forecasting. This article explores where legacy tools fall short on spectral and electrical modelling, and how physics-based simulation helps manufacturers build a credible path from lab innovation to bankable field performance.

We released SunSolve P90 at ACP Peak 2025 - a free Python API that quantifies uncertainty in energy yield forecasts from PVsyst, SolarFarmer, PVLib, SunSolve and other tools using Monte Carlo simulation.

This post explores how to predict the bifacial gain of AgriPV systems, which can vary from 2% to 50% depending on system design and conditions. We describe SunSolve's ray-tracing method, PVsyst's industry-standard approach, and how they can be used together.

Dr. Radovan Kopecek’s IEEE-PVSC keynote traced the evolution of crystalline silicon solar technology and the barriers overcome along the way, from PERC to TOPCon and back contact. Backed by over 7 GW of global tech transfer projects, his perspective offers a front-line view of PV manufacturing trends and the policies shaping them.

Our latest white paper examines how radiative heat loss to the sky affects PV module temperatures and yield forecasts. We found that ignoring sky temperature in thermal models can introduce up to ±0.5% uncertainty in annual yield predictions.

A comprehensive overview of the significant enhancements and new features recently introduced in SunSolve Power, from performance improvements to advanced modeling capabilities.