Location data · Rhineland-Palatinate

Sun hours in Landau in der Pfalz

How sunny is Landau in der Pfalz? Over a year the sun delivers 1,363 kilowatt-hours onto every square metre here — in June roughly 5 times as much per day as in December. “Sun hours” has two meanings: the weather report counts how long the sun shines. For solar power what matters is how much energy arrives — and that is what this page shows, as peak sun hours (hours of full sun power).

For solar planning this means: an optimally tilted, south-facing array (35°) harvests an annual average of 3.74 peak sun hours per day in Landau in der Pfalz. In 9 out of 10 years at least 1,266 kWh/m² are reached. All values are computed from this location’s satellite hourly data, not estimated.

Annual average (PSH)
3.74 kWh/m²/d
P90 annual total
1,266 kWh/m²
Optimal tilt
35°
Terrain horizon max.
24.4°

Sun hours per month

MonthJanFebMarAprMayJunJulAugSepOctNovDec
PSH/day (35° south)1.252.223.755.205.435.925.835.254.552.781.471.11
P901.001.602.954.254.675.195.314.594.012.271.180.85

Daily average per month in kWh/m² at 35° tilt, south-facing, including the terrain horizon of Landau in der Pfalz. P90 = reached in 9 out of 10 years.

Optimal tilt angle in Landau in der Pfalz

The annual optimum for Landau in der Pfalz is 35° south; anything between 24° and 50° counts as equivalent (below 2% difference). For winter operation (off-grid) 65° is optimal, for summer use 20°. Flat-laid modules lose 15.2 % versus the optimum. Adjusting twice a year would add 2.2 % here, monthly adjustment 2.9 % — only relevant for adjustable mounts.

Is a balcony solar kit worth it in Landau in der Pfalz?

A vertical south-facing railing in Landau in der Pfalz harvests 945 kWh/m² per year — 69 % of what an optimally tilted 35° panel yields at the same spot. December softens the penalty: with the low winter sun, the vertical plane reaches 110 % of the 35° December value, computed from the same hourly data with its own plane transposition. Open the balcony solar calculator with these coordinates →

Neighbouring places compared

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