How Many Solar Panels Do I Need?

Guide · 5 min read · Updated July 2026

Short answer: a typical home needs 15–25 panels — but the honest answer comes from three numbers you can find in five minutes: your monthly kWh, your local sun hours, and the wattage of a modern panel. Here's the math, then the shortcuts.

The three-step formula

  1. Daily usage: monthly kWh ÷ 30. A home using 900 kWh/month needs 30 kWh/day.
  2. System size: daily kWh ÷ peak sun hours ÷ 0.85 (system losses). With 5 sun hours: 30 ÷ 5 ÷ 0.85 ≈ 7.1 kW.
  3. Panel count: system size ÷ panel wattage. With 430 W panels: 7,100 ÷ 430 ≈ 17 panels.

"Peak sun hours" isn't daylight hours — it's the equivalent hours of full-strength sun your roof gets per day, averaged over the year. Rough guide: 3–3.5 in northern Europe and the US Pacific Northwest, 4–5 across most of the US and central Europe, 5.5–6.5 in the US Southwest, Australia, and most of India and Africa.

Worked examples (5 sun hours, 430 W panels)

Monthly usageTypical homeSystem sizePanelsRoof area*
500 kWhSmall apartment / efficient home3.9 kW9≈ 200 sq ft
750 kWh2–3 bed home5.9 kW14≈ 300 sq ft
900 kWhAverage US home7.1 kW17≈ 370 sq ft
1,200 kWhLarge home / mild EV use9.4 kW22≈ 480 sq ft
1,600 kWhLarge home + EV + AC12.5 kW30≈ 650 sq ft

*Modern residential panels are roughly 21.5 sq ft (2 m²) each. Panel wattages now run 400–450 W; if a quote uses 370 W panels, expect ~15% more of them.

What moves the number most

  • Your actual usage — grab 12 months of bills, not one. Summer AC or winter heating can double a month.
  • Sun hours — the same house needs ~40% more panels in Seattle than in Phoenix.
  • Roof direction and shading — south-facing (northern hemisphere) is the baseline; east/west roofs produce ~15% less; regular shade can cost 20%+.
  • Future loads — an EV adds 250–350 kWh/month; a heat pump 300–800 kWh/month in winter. Size for the home you'll have, not the one you had.

Do the math with your numbers

Our calculators run this exact method with your inputs:

Then get 2–3 real quotes and compare their assumed production against the estimator — if a quote promises much more than the math supports, ask why.