Improving Accuracy of Forecasts

To understand the how you can improve accuracy using SunSolve Yield, it is useful to compare it with the industry standard approach.

Improving Accuracy of Forecasts

Starts with simplistic assumptions

The view factor model represents the modules in 2D. It assumes no structure, no frames, no spacing between modules or groups of modules and no wavelength dependencies.

Requires guesstimate loss factors

To adjust the view factor model to account for real-world complexities such as shading, spectrum and mismatch, users are required to guesstimate a series of loss factors. These are often left at the default values leading to inaccurate forecasts.

Simplifications flow through

Oversimplification of the optical model then flows through to the thermal and electrical models. Inaccuracies in the optical results provide a shaky foundation on which the rest of the forecast is built.

SunSolve Yield

Detailed 3D model of system components

SunSolve Yield starts with a 3D model of your system components. You can define system dimensions easily using our built-in wizards or import CAD components to model your system even more accurately.

Avoids fudge factors

SunSolve's advanced algorithms deal with real-world complexities as part of the simulation. This significantly reduces the uncertainty associated with estimating loss factors. You can even use SunSolve to calculate loss factors for other programs.

Solid foundations lead to better results

The results from the 3D modelled optical stage, flow through to advanced thermal and electrical models. Greater accuracy in the optical stage leads to greater accuracy in the thermal and electrical stages.

SunSolve

The only simulation environment that models the physics from solar cell right through to annual yield.

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