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8760-Hour Solar Simulation Improves Rooftop PV Generation

A year has 8,760 hours. An 8,760-hour simulation calculates solar irradiance, cell temperature, and power output separately for every single one of them, using real (or representative) hourly weather data for the site.
Utility-scale ground-mount systems are relatively forgiving of simulation shortcuts: uniform tilt, uniform azimuth, minimal shading. Rooftops are the opposite case, and that's exactly where hourly resolution earns its keep.
Multiple roof planes, multiple micro-climates. A single rooftop system often spans two or three faces at different tilts and azimuths — a south-facing main roof plus an east-facing dormer, say. Each face has its own hourly irradiance curve; a monthly average can't capture how the east face's morning peak and the south face's midday peak interact with a shared inverter's clipping threshold.
Shading is a time-of-day problem, not an annual-average problem. A chimney, a neighboring tree, or an HVAC unit doesn't cast a flat "5% shading loss" — it casts a shadow that sweeps across specific modules at specific hours, on specific days of the year, with a specific angular geometry. Only an hour-by-hour (ideally sub-hourly) simulation, working from real sun-position and shading-object geometry, gets this right. Annualized shading factors routinely mis-estimate the loss by 2-3x in either direction.
Temperature swings hour by hour. Module output drops meaningfully as cells heat up — typically -0.3% to -0.4% per °C above 25°C. On a rooftop with limited airflow underneath the array, a module might run 15-20°C hotter than ambient at 1pm in summer. Capturing that requires an hourly cell-temperature model (using ambient temperature, wind speed, and irradiance at that specific hour), not a monthly average temperature.
Inverter clipping is inherently a peak-moment phenomenon. If a system is sized with a DC/AC ratio above 1.0 (common for cost optimization), the inverter will clip excess DC power during a fairly narrow band of high-irradiance hours around midday in summer. A monthly-average model simply cannot see this clipping window; only an hourly (or sub-hourly) simulation can quantify how much energy is actually lost to it.