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.

Our latest release can generate PVsyst torgue-tube shading and mismatch factors in under a minute. The SunSolve method is a key part of bankable, real-world modeling best practices for bifacial power plants. This massive increase in speed means that SunSolve users push the boundaries and account for more real world complexities in record time.

Through rigorous loss analysis of Jinko Solar's record 26.7% TOPCon cells, ANU researchers have identified the key barriers to higher efficiency and mapped a clear pathway to 27%+ performance using advanced simulation tools to quantify optical, recombination, and resistive losses.

As perovskite-silicon tandem modules move toward commercialization, crucial questions emerge about system integration, voltage compatibility, spectral response, and energy yield modeling that will define the next generation of solar technology.

The Evolutionary Optimiser is a powerful new tool that helps PV engineers optimise the design of their solar cells and modules. Leveraging a genetic algorithm, the Optimiser computes input values that maximise output power, reducing manual effort and accelerating development cycles.

We were recently invited by PVTech Power magazine to share our thoughts on why yield forecast uncertainty is frequently underestimated and what can be done to resolve it.

We surveyed the audience at the ACP Resource and Technology Conference 2024 to find out how much uncertainty matters.

We invited 5 panelists from a cross section of the solar industry to talk about the financial value of accurate modelling at the PVPMC 2024.