Wind Turbine Payback in Cullman County, AL
Wind turbine payback in Cullman County
No. The turbine wears out before it pays for itself.
At 30 m, the height a home turbine tower usually reaches, the wind in Cullman County, AL averages 3.23 m/s (7.2 mph). A 10 kW turbine there would make about 3,333 kWh a year, worth $550 at AL's 16.51¢/kWh. Against an installed cost of about $100,000, that is a payback of over 100 years, and the turbine is built to last about 20.
What to do in Cullman County
A home turbine is not worth buying for savings in Cullman County unless your spot is far windier than the county average, 7.5 m/s at the hub against 3.23 m/s here. Per kW, solar panels would make about 1,294 kWh a year here against the turbine's 333, so get a solar quote first.
What would have to change
- Power would have to cost 150¢/kWh, 9.1 times what AL pays now.
- Or the average wind at the hub would have to be 7.5 m/s instead of 3.23. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of AL
Cullman County is the 2,844th windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in AL is Mobile County at 4.72 m/s, payback 57 years.
Month by month in Cullman County
March is the strongest month here, at 3.77 m/s and about 463 kWh. July is the weakest, 2.40 m/s and 98 kWh, so the best month makes 4.7 times the worst. November to March brings in 57% of the year's output in Cullman County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 3.64 m/s | 416 kWh | $69 |
| February | 3.77 m/s | 419 kWh | $69 |
| March | 3.77 m/s | 463 kWh | $76 |
| April | 3.74 m/s | 440 kWh | $73 |
| May | 3.12 m/s | 252 kWh | $42 |
| June | 2.67 m/s | 141 kWh | $23 |
| July | 2.40 m/s | 98 kWh | $16 |
| August | 2.49 m/s | 114 kWh | $19 |
| September | 2.94 m/s | 199 kWh | $33 |
| October | 3.26 m/s | 292 kWh | $48 |
| November | 3.48 m/s | 350 kWh | $58 |
| December | 3.50 m/s | 369 kWh | $61 |
What a taller tower would buy
Measured at 10 m the wind in Cullman County averages 1.94 m/s; at 50 m it is 4.09 m/s. That gives a shear exponent of 0.463, typical of rough, sheltered ground: trees or buildings slow the low wind a lot. Going from 20 m to 50 m takes output from 1,740 to 7,038 kWh a year, 304% more, before counting the extra cost of the taller tower. Why tower height decides it explains the shear behind these numbers.
| Hub height | Average wind | Output | Payback |
|---|---|---|---|
| 20 m | 2.68 m/s | 1,740 kWh | over 100 years |
| 30 m | 3.23 m/s | 3,328 kWh | over 100 years |
| 40 m | 3.69 m/s | 5,114 kWh | over 100 years |
| 50 m | 4.09 m/s | 7,038 kWh | 86 years |
Counties around Cullman County
3 of the 6 closest counties are windier at turbine height; the windiest, Lawrence County, averages 3.87 m/s.
- Blount County, AL: 3.23 m/s, 3,333 kWh, payback over 100 years (20 mi)
- Morgan County, AL: 3.84 m/s, 5,800 kWh, payback over 100 years (22 mi)
- Winston County, AL: 3.15 m/s, 3,067 kWh, payback over 100 years (28 mi)
- Marshall County, AL: 3.58 m/s, 4,653 kWh, payback over 100 years (34 mi)
- Walker County, AL: 3.15 m/s, 3,067 kWh, payback over 100 years (34 mi)
- Lawrence County, AL: 3.87 m/s, 5,942 kWh, payback over 100 years (38 mi)
Sun versus wind in Cullman County
Cullman County gets 4.43 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,294 kWh a year; one kW of the turbine above makes 333. Kilowatt for kilowatt, panels make 3.9 times as much here as the turbine. Panel output assumes an 80% system performance ratio. Wind or solar runs the same comparison for every county.
How this is worked out
Wind is NASA's Power climate record, the 2001-2025 average at 10 m and 50 m for the county's centre, carried to 30 m with this county's own measured wind shear and spread into hours with a Rayleigh distribution. The turbine is a generic 10 kW, 7 m rotor machine with 10% losses. Cost is $10,000 per kW installed with no tax credit, because the federal one ended in 2025. One county-centre number cannot see your hilltop or your tree line, so treat it as the starting point for a site survey, not a substitute. The full method and its weak spots are in how the numbers are made.